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Submitted URL: https://vmxwvcrs.r.us-east-1.awstrack.me/L0/https:%2F%2Femail.awscloud.com%2FMTEyLVRaTS03NjYAAAGWOZ-OoB1a03yfeEtDVZJSKYCNFd3o_H70GPTXSM63...
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Submission: On November 01 via api from US — Scanned from US
Effective URL: https://aws.amazon.com/cloudwatch/faqs/?trk=ad66b933-1152-4542-8102-3cfd30134da6&sc_channel=em&mkt_tok=MTEyLVRaTS03NjYA...
Submission: On November 01 via api from US — Scanned from US
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Amazon Q Generative AI-powered assistant for work
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AWS Entity Resolution Match and link related records with easy-to-configure
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Amazon Monitron End-to-end system for equipment monitoring
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AWS HealthImaging Store, analyze, and share medical images
AWS HealthScribe Automatically generate clinical notes with AI
AWS HealthLake Make sense of health data
Amazon Personalize Build real-time recommendations into your applications
Amazon Polly Turn text into life-like speech
Amazon Rekognition Analyze image and video
Amazon Textract Extract text and data from documents
Amazon Translate Natural and fluent language translation
Amazon Transcribe Automatic speech recognition
AWS Deep Learning AMIs Deep learning on Amazon EC2
AWS Deep Learning Containers Docker images for deep learning
AWS DeepComposer ML enabled musical keyboard
AWS DeepLens Deep learning enabled video camera
AWS DeepRacer Autonomous 1/18th scale race car, driven by ML
AWS Inferentia Machine learning inference chip
AWS Panorama Improve operations with computer vision at the edge
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Management & Governance
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Amazon Managed Grafana Powerful interactive data visualizations
Amazon Managed Service for Prometheus Highly available, secure monitoring for
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AWS Chatbot ChatOps for AWS
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AWS Command Line Interface Unified tool to manage AWS services
AWS Compute Optimizer Identify optimal AWS Compute resources
AWS Config Track resources inventory and changes
AWS Control Tower Set up and govern a secure, compliant multi-account
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AWS Console Mobile Application Access resources on the go
AWS Distro for OpenTelemetry Collect correlated metrics and traces
AWS Health Dashboard View important events and changes affecting your AWS
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AWS Launch Wizard Easily size, configure, and deploy third party applications on
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AWS License Manager Track, manage, and control licenses
AWS Management Console Web-based user interface
AWS Managed Services Infrastructure operations management for AWS
AWS Organizations Central governance and management across AWS accounts
AWS Proton Automated management for container and serverless deployment
AWS Resilience Hub Protect applications from disruption
AWS Service Catalog Create and use standardized products
AWS Service Management Connector Provision, manage and operate AWS resources
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AWS Systems Manager Gain operational insights and take action
AWS Telco Network Builder Automate the deployment and management of your telco
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Amazon Interactive Video Service Managed live video solution
Amazon Kinesis Video Streams Process and analyze video streams
AWS Elemental MediaConnect Reliable and secure live video transport
AWS Elemental MediaConvert Convert file-based video content
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AWS Elemental MediaPackage Video origination and packaging
AWS Elemental MediaStore Media storage and simple http origin
AWS Elemental MediaTailor Video personalization and monetization
AWS Elemental Appliances & Software On-premises media solutions
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AWS Thinkbox Frost AWS Thinkbox Frost: Create particle meshes faster
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Migration & Modernization
AWS Migration Hub Track migrations from a single place
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AWS for Microsoft Workloads The proven, reliable, secure cloud for Windows
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Experience-Based Acceleration (EBA) Outcome-focused transformation methodology
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AWS Snow Family Physical devices to migrate data into and out of AWS
AWS Transfer Family Fully managed SFTP, FTPS, FTP, and AS2 service
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Amazon Braket Explore and experiment with quantum computing
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Amazon Cognito Identity management for your apps
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Amazon Inspector Automate vulnerability management
Amazon Macie Discover and protect your sensitive data at scale
Amazon Security Lake Automatically centralize your security data with a few
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Amazon Verified Permissions Fine-grained permissions and authorization for your
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AWS Artifact On-demand access to AWS’ compliance reports
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AWS CloudHSM Hardware-based key storage for regulatory compliance
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AWS Resource Access Manager Simple, secure service to share AWS resources
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Amazon CloudWatch
Overview Features Pricing Getting Started FAQs Customers
* Management and Governance›
* Amazon CloudWatch›
* FAQs
AMAZON CLOUDWATCH FAQS
PAGE TOPICS
General
18
Pricing
7
Cross-account observability
4
Application Monitoring
5
Container Monitoring
14
Internet Monitoring
5
Lambda Monitoring
3
Network Monitoring
4
Digital Experience Monitoring
8
Metrics analytics
2
AWS resource and custom metrics monitoring
24
Log monitoring
13
Log management
6
Log analytics
15
Logs anomaly detection
4
Logs Live Tail
8
Logs data protection
3
Alarms
5
Dashboards
5
Events
7
General
GENERAL
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WHAT IS AMAZON CLOUDWATCH?
Amazon CloudWatch is an AWS monitoring service for cloud resources and the
applications that you run on AWS. You can use Amazon CloudWatch to collect and
track metrics, collect and monitor log files, and set alarms. Amazon CloudWatch
can monitor AWS resources, such as Amazon EC2 instances, Amazon DynamoDB tables,
and Amazon RDS DB instances, in addition to custom metrics generated by your
applications and services, and any log files that your applications generate,
hosted on premises, hybrid, or on other clouds. You can use Amazon CloudWatch to
gain system-wide visibility into resource utilization, application performance,
and operational health. You can use these insights to react and keep your
application running smoothly.
To get started with monitoring, you can use Automatic Dashboards with built-in
AWS best practices, explore account and resource-based view of metrics and
alarms, and easily drill down to understand the root cause of performance
issues.
WHAT CAN I USE TO ACCESS CLOUDWATCH?
Amazon CloudWatch can be accessed via API, command-line interface, AWS SDKs, and
the AWS Management Console.
WHICH OPERATING SYSTEMS DOES AMAZON CLOUDWATCH SUPPORT?
Amazon CloudWatch receives and provides metrics for all Amazon EC2 instances and
should work with any operating system currently supported by the Amazon EC2
service.
WHAT ACCESS MANAGEMENT POLICIES CAN I IMPLEMENT FOR CLOUDWATCH?
Amazon CloudWatch integrates with AWS Identity and Access Management (IAM) so
that you can specify which CloudWatch actions a user in your AWS Account can
perform. For example, you could create an IAM policy that gives only certain
users in your organization permission to use GetMetricStatistics. They could
then use the action to retrieve data about your cloud resources.
You can't use IAM to control access to CloudWatch data for specific resources.
For example, you can't give a user access to CloudWatch data for only a specific
set of instances or a specific LoadBalancer. Permissions granted using IAM cover
all the cloud resources you use with CloudWatch. In addition, you can't use IAM
roles with the Amazon CloudWatch command line tools.
WHAT IS AMAZON CLOUDWATCH LOGS?
Amazon CloudWatch Logs lets you monitor and troubleshoot your systems and
applications using your existing system, application and custom log files.
With CloudWatch Logs, you can monitor your logs, in near real time, for specific
phrases, values or patterns. For example, you could set an alarm on the number
of errors that occur in your system logs or view graphs of latency of web
requests from your application logs. You can then view the original log data to
see the source of the problem. Log data can be stored and accessed indefinitely
in highly durable, low-cost storage so you don’t have to worry about filling up
hard drives.
Amazon CloudWatch Logs lets you monitor and troubleshoot your systems and
applications using your existing system, application, and custom log files.
WHAT KINDS OF THINGS CAN I DO WITH CLOUDWATCH LOGS?
CloudWatch Logs is capable of monitoring and storing your logs to help you
better understand and operate your systems and applications. You can use
CloudWatch Logs in a number of ways.
Real-time application and system monitoring: You can use CloudWatch Logs to
monitor applications and systems using log data. For example, CloudWatch Logs
can track the number of errors that occur in your application logs and send you
a notification whenever the rate of errors exceeds a threshold you specify.
CloudWatch Logs uses your log data for monitoring, so no code changes are
required.
Long-term log retention: You can use CloudWatch Logs to store your log data
indefinitely in highly durable and cost effective storage without worrying about
hard drives running out of space. The CloudWatch Logs Agent makes it easy to
quickly move both rotated and non-rotated log files off of a host and into the
log service. You can then access the raw log event data when you need it.
WHAT PLATFORMS DOES THE CLOUDWATCH LOGS AGENT SUPPORT?
The CloudWatch Logs Agent is supported on Amazon Linux, Ubuntu, CentOS, Red Hat
Enterprise Linux, and Windows. This agent will support the ability to monitor
individual log files on the host.
DOES THE CLOUDWATCH LOGS AGENT SUPPORT IAM ROLES?
Yes. The CloudWatch Logs Agent is integrated with Identity and Access Management
(IAM) and includes support for both access keys and IAM roles.
WHAT IS AMAZON CLOUDWATCH LOGS INSIGHTS?
Amazon CloudWatch Logs Insights is an interactive, pay-as-you-go, and integrated
log analytics capability for CloudWatch Logs. It helps developers, operators,
and systems engineers understand, improve, and debug their applications, by
allowing them to search and visualize their logs. Logs Insights is fully
integrated with CloudWatch, enabling you to manage, explore, and analyze your
logs. You can also leverage CloudWatch Metrics, Alarms and Dashboards with Logs
to get full operational visibility into your applications. This empowers you to
understand your applications, make improvements, and find and fix problems
quickly, so that you can continue to innovate rapidly. You can write queries
with aggregations, filters, and regular expressions to derive actionable
insights from your logs. You can also visualize timeseries data, drill down into
individual log events, and export your query results to CloudWatch Dashboards.
HOW CAN I GET STARTED WITH CLOUDWATCH LOGS INSIGHTS?
You can immediately start using Logs Insights to run queries on all your logs
being sent to CloudWatch Logs. There is no setup required and no infrastructure
to manage. You can access Logs Insights from the AWS Management Console or
programmatically through your applications by using the AWS SDK.
WHAT IS AMAZON CLOUDWATCH ANOMALY DETECTION?
Amazon CloudWatch Anomaly Detection applies machine-learning algorithms to
continuously analyze single time series of systems and applications, determine a
normal baseline, and surface anomalies with minimal user intervention. It allows
you to create alarms that auto-adjust thresholds based on natural metric
patterns, such as time of day, day of week, seasonality, or changing trends. You
can also visualize metrics with anomaly detection bands on dashboards,
monitoring, isolating, and troubleshooting unexpected changes in your metrics.
HOW CAN I GET STARTED WITH AMAZON CLOUDWATCH ANOMALY DETECTION?
It is easy to get started with Anomaly Detection. In the CloudWatch console, go
to Alarms in the navigation pane to create an alarm, or start with Metrics to
overlay the metric’s expected values onto the graph as a band. You can also
enable Anomaly Detection using the AWS CLI, AWS SDKs, or AWS CloudFormation
templates. To learn more, please visit the CloudWatch Anomaly Detection
documentation and pricing pages.
WHAT IS AMAZON CLOUDWATCH CONTRIBUTOR INSIGHTS?
Amazon CloudWatch now includes Contributor Insights, which analyzes time-series
data to provide a view of the top contributors influencing system performance.
Once set up, Contributor Insights runs continuously without needing additional
user intervention. This helps developers and operators more quickly isolate,
diagnose, and remediate issues during an operational event.
HOW CAN I GET STARTED WITH CLOUDWATCH CONTRIBUTOR INSIGHTS?
In the CloudWatch console, go to Contributor Insights in the navigation pane to
create a Contributor Insights rule. You can also enable Contributor Insights
using the AWS CLI, AWS SDKs, or AWS CloudFormation templates. Contributor
Insights is available in all commercial AWS Regions. To learn more, please visit
the documentation on CloudWatch Contributor Insights.
WHAT IS AMAZON CLOUDWATCH SERVICELENS?
Amazon CloudWatch ServiceLens is a feature that enables you to visualize and
analyze the health, performance, and availability of your applications in a
single place. CloudWatch ServiceLens ties together CloudWatch metrics and logs
as well as traces from AWS X-Ray to give you a complete view of your
applications and their dependencies. This enables you to quickly pinpoint
performance bottlenecks, isolate root causes of application issues, and
determine users impacted. CloudWatch ServiceLens enables you to gain visibility
into your applications in three main areas: Infrastructure monitoring (using
metrics and logs to understand the resources supporting your applications),
transaction monitoring (using traces to understand dependencies between your
resources), and end user monitoring (using canaries to monitor your endpoints
and notify you when your end user experience has degraded).
HOW CAN I GET STARTED WITH CLOUDWATCH SERVICELENS?
If you already use AWS X-Ray, you can access CloudWatch ServiceLens on the
CloudWatch console by default. If you do not yet use AWS X-Ray, you can get
started by enabling AWS X-Ray on your applications using the X-Ray SDK. Amazon
CloudWatch ServiceLens is available in all public AWS Regions where AWS-X-Ray is
available. To learn more, visit the documentation on Amazon CloudWatch
ServiceLens.
WHAT IS AMAZON CLOUDWATCH SYNTHETICS?
Amazon CloudWatch Synthetics allows you to monitor application endpoints more
easily. It runs tests on your endpoints every minute, 24x7, and alerts you as
soon as your application endpoints don’t behave as expected. These tests can be
customized to check for availability, latency, transactions, broken or dead
links, step by step task completions, page load errors, load latencies for UI
assets, complex wizard flows, or checkout flows in your applications. You can
also use CloudWatch Synthetics to isolate alarming application endpoints and map
them back to underlying infrastructure issues to reduce mean time to resolution.
HOW CAN I GET STARTED WITH CLOUDWATCH SYNTHETICS?
It's easy to get started with CloudWatch Synthetics. You can write your first
passing canary in minutes. To learn more, visit the documentation on Amazon
CloudWatch Synthetics .
PRICING
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HOW MUCH DOES AMAZON CLOUDWATCH COST?
Please see our pricing page for the latest information.
DOES THE AMAZON CLOUDWATCH MONITORING CHARGE CHANGE DEPENDING ON WHICH TYPE OF
AMAZON EC2 INSTANCE I MONITOR?
All Amazon EC2 instance types automatically send key health and performance
metrics to CloudWatch at no cost. If you enable EC2 Detailed Monitoring, you
will be charged for custom metrics based on the number of metrics sent to
CloudWatch for the instance. The number of metrics sent for an instance is
dependent on the instance type - see available CloudWatch Metrics for Your
Instances for details.
DO YOUR PRICES INCLUDE TAXES?
Except as otherwise noted, our prices are exclusive of applicable taxes and
duties, including VAT and applicable sales tax. Learn more.
WHY DOES MY AWS MONTHLY BILL FOR CLOUDWATCH APPEAR DIFFERENT BETWEEN JULY 2017
AND PREVIOUS MONTHS?
Prior to July 2017, charges for CloudWatch were split under two different
sections in your AWS bill and Cost and Usage Reports. For historical reasons,
charges for CloudWatch Alarms, CloudWatch Metrics, and CloudWatch API usage were
reported under the “Elastic Compute Cloud” (EC2) detail section of your bill,
while charges for CloudWatch Logs and CloudWatch Dashboards are reported under
the “CloudWatch” detail section. To help consolidate and simplify your monthly
AWS CloudWatch usage and billing, we moved the charges for your CloudWatch
Metrics, Alarms, and API usage from the “EC2” section of your bill to the
“CloudWatch” section, effectively bringing together all of your CloudWatch
monitoring charges under the “CloudWatch” section. Note that this has no impact
to your total AWS bill amount. Your bill and Cost and Usage Reports will now
simply display charges for CloudWatch under a single section.
Additionally, there is a Billing Metric in CloudWatch named “Estimated Charges”
that can be viewed as Total Estimated Charge or broken down By Service. The
“Total Estimated Charge” metric will not change. However, the “EstimatedCharges”
metric broken down by Service will change for dimension ServiceName equal to
“AmazonEC2” and dimension ServiceName equal to “AmazonCloudWatch”. Due to the
billing consolidation, you may see that your AmazonEC2 billing metric decrease
and AmazonCloudWatch billing metric increase as usage and billing charges get
moved out of EC2 and into CloudWatch.
HOW IS CLOUDWATCH LOGS INSIGHTS PRICED?
Logs Insights is priced per query and charges based on the amount of ingested
log data scanned by the query. For additional details about pricing, see
CloudWatch pricing .
DOES CLOUDWATCH LOGS INSIGHTS CHARGE ME FOR CANCELLED QUERIES?
Yes, if you cancel a query manually, you are charged for the amount of ingested
log data scanned up to the point at which you cancelled the query.
DOES CLOUDWATCH LOGS INSIGHTS CHARGE ME FOR FAILED QUERIES?
No, you are not charged for failed queries.
CROSS-ACCOUNT OBSERVABILITY
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WHAT IS CROSS-ACCOUNT OBSERVABILITY IN CLOUDWATCH?
Cross-account observability in CloudWatch lets you monitor and troubleshoot
applications that span across multiple accounts within a Region. Using
cross-account observability, you can seamlessly search, visualize, and analyze
your metrics, logs, and traces, without having to worry about account
boundaries. You can start with an aggregated cross-account view of your
application to visually identify the resources exhibiting errors and dive deep
into correlated traces, metrics, and logs to root cause the issue. The seamless
cross-account data access and navigation enabled by cross-account monitoring
helps you reduce the manual effort required to troubleshoot issues and save
valuable time in resolution. Cross-account observability is an addition to
CloudWatch’s unified observability capability.
HOW DO I GET STARTED WITH CROSS-ACCOUNT OBSERVABILITY?
Cross-account observability introduces two new account concepts. “Monitoring
account” is a central AWS account that can view and interact with observability
data generated across other accounts. A “source account” is an individual AWS
account that generates observability data for the resources that reside in it.
Once you identify your monitoring and source accounts, you complete your
cross-account monitoring configuration by selecting which telemetry data to
share with your monitoring account. Within minutes, you can easily setup central
monitoring accounts from which you have a complete view of the health and
performance of your applications deployed across many related accounts or an
entire AWS organization. With cross-account observability in CloudWatch, you can
get a birds-eye view of your cross-application dependencies that can impact
service availability, and you can pinpoint issues proactively and troubleshoot
with reduced mean time to resolution.
WHAT CLOUDWATCH MONITORING FEATURES CAN I USE ACROSS MULTIPLE AWS ACCOUNTS?
Using cross-account observability, you can search for log groups stored across
multiple accounts from a central view, run cross-account Logs Insights queries,
Live Tail analytics, and create Contributor Insights rules across accounts to
identify top-N contributors generating log entries. You can use metrics search
to visualize metrics from many accounts in a consolidated view, create alarms
that evaluate metrics from other accounts to be notified of anomalies and
trending issues, and visualize them on centralized dashboards. You can also use
this capability to set up a single, cross-account metric stream to include
metrics that span multiple AWS accounts in an AWS Region. With cross-account
observability, you can also view an interactive map of your cross-account
applications using ServiceLens with one-step drill downs to relevant metrics,
logs, and traces.
CAN I STILL USE CLOUDWATCH CROSS-ACCOUNT, CROSS-REGION FEATURES ON MY CONSOLE?
Both cross-account monitoring in CloudWatch and the cross-account, cross-Region
features will be available on the CloudWatch console. The cross-account,
cross-Region drop-down menus will be removed from the console when you set up
cross-account observability in CloudWatch. Note that the cross-account
observability experience in CloudWatch is available in one Region at a time. The
cross-account, cross-Region feature allows access to organization-wide telemetry
through IAM roles. Cross-account observability in CloudWatch uses the
Observability Access Manager API to define access policies. Learn more in our
documentation.
APPLICATION MONITORING
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WHAT IS AMAZON CLOUDWATCH APPLICATION SIGNALS (PREVIEW)?
Amazon CloudWatch Application Signals [Preview] extends Amazon CloudWatch with
standardized application metrics and application-centric observability views in
the AWS Management Console for CloudWatch. You can get started without writing
custom instrumentation. The new views summarize application health to help
determine business impact and prioritize, then offer a drill down to expediently
establish root cause.
HOW DO I GET STARTED WITH AMAZON CLOUDWATCH APPLICATION SIGNALS (PREVIEW)?
You can turn on Application Signals in the AWS Management Console for CloudWatch
or when enabling CloudWatch on AWS resources, such as Amazon EKS clusters.
Application instrumentation is included in the Amazon CloudWatch Agent.
Application services, their APIs and dependencies are discovered and visualized
in a summary view and on a service map. To reflect business impact and
importance, in a few clicks, you can create service level objectives (SLOs) on
standard application metrics, real-user or synthetic monitors. The “Enable more
APM” view in console presents a view on monitored and un-monitored resources
allowing customers to gradually add application visibility. You can use
CloudWatch settings to increase trace sampling on critical services and capture
more examples of critical transactions such as payment orders. To add external
availability monitoring or UI workflows you can add synthetic canaries, and to
add client visibility enable RUM telemetry on their web applications.
HOW DOES AMAZON CLOUDWATCH APPLICATION SIGNALS (PREVIEW) HELP ME MONITOR
BUSINESS-CRITICAL APPLICATIONS?
Amazon CloudWatch Application Signals [Preview] discovers application services
such as a mortgage payment processor running in EKS and generates a standard set
of application metrics for volume, latency, errors and faults of APIs (such as
to add users, place orders, pay, etc.) and dependencies (such as calls between
application services, to AWS services or to external endpoints). Customers can
reflect business impact and importance of application services, their APIs and
dependencies by defining service level objectives. New application-centric
observability views in the AWS Management Console for CloudWatch will then
summarize application health against SLOs and offer a drill down to expediently
establish a root cause.
WHEN DO I USE AMAZON CLOUDWATCH APPLICATION SIGNALS (PREVIEW)?
Use Application Signals for an integrated application performance monitoring
experience.With integrated monitoring, you can automatically collect and
correlate application telemetry, while prioritizing for business critical
applications. You can also leverage alarms, traces, and events data to take
automated actions and reduce the time taken to recover from issues (MTTR). You
want to monitor applications running on Amazon EKS, Amazon EC2, Amazon ECS,
databases, components or on premise resources. Simply specify the resources to
monitor, and enable Application Signals for Amazon EKS in your CloudWatch
console without manual configurations. For all other application environments,
you can quickly deploy the CloudWatch Agent and start monitoring your
applications. With Application Signals you can create, measure and track SLOs
aligned with your business and operational KPIs. SLOs are crucial in managing
critical applications, improving availability, decreasing downtime, and enabling
consistent customer experience. You need access to a comprehensive view of all
your applications and the ability manage application performance. Leverage
automatic, pre built, and standardized dashboards with all your applications,
services and telemetry data. These visualization capabilities help you quickly
scan and access metrics such as, volume, availability latency, and errors
impacting your applications. Application Signals service maps enable you to
drill down into traces, APIs, and compute resources to get a comprehensive view
of root causes to your application issues. The integration of Amazon CloudWatch
RUM and Amazon CloudWatch Synthetics within Application Signals gives you user
data in real time and canaries in a single view. This is important if you need
to rapidly pinpoint the root cause in you code, dependencies, or hosting
environment before impacting any end users.
WHEN DO I USE AMAZON CLOUDWATCH APPLICATION INSIGHTS?
CloudWatch Application Insights helps you monitor your applications that use
Amazon EC2 instances along with other application resources. It identifies and
sets up key metrics, logs, and alarms across your application resources and
technology stack (for example, your Microsoft SQL Server database, web (IIS) and
application servers, OS, load balancers, and queues). It continuously monitors
metrics and logs to detect and correlate anomalies and errors. When errors and
anomalies are detected, Application Insights generates CloudWatch Events that
you can use to set up notifications or take actions. To assist with
troubleshooting, it creates automated dashboards for detected problems, which
include correlated metric anomalies and log errors, along with additional
insights to point you to a potential root cause.
CONTAINER MONITORING
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WHAT IS CLOUDWATCH CONTAINER INSIGHTS?
CloudWatch Container Insights is a feature for monitoring, troubleshooting, and
alarming on your containerized applications and microservices. Container
Insights simplifies the isolation and analysis of performance issues impacting
your container environment. DevOps and systems engineers have access to
automatic dashboards in the CloudWatch console, giving them end-to-end
operational visibility of metrics, logs, and distributed traces summarizing the
performance and health of their Amazon Elastic Container Service for Kubernetes
(EKS) , Amazon Elastic Container Service (ECS) , AWS Fargate , and Kubernetes
clusters by pods/tasks, containers, and services.
HOW CAN I MONITOR MY CONTAINER LEVEL HEALTH AND PERFORMANCE?
Container Insights with enhanced observability for Amazon Elastic Kubernetes
Service (EKS) enables you to visually drill up and down across your EKS
container layers and easily spot issues like memory leaks in individual
containers, reducing mean time to resolution. With control plane metrics, you
can now monitor autoscaling status and plan your test cluster lifecycles in
their automated test capabilities to improve operational efficiency. With
enhanced observability for EKS you can now sort your clusters, nodes, and
workloads by resource consumption and quickly identify anomalies, set up your
own alarms to monitor closely, and mitigate risks proactively before end user
experience is impacted.
DOES CONTAINER INSIGHTS PROVIDE VISIBILITY AT THE CONTROL PLANE LEVEL?
Yes. Using Container Insights with enhanced observability for Amazon Elastic
Kubernetes Service (EKS) you can monitor your control plane status. You can use
it to understand autoscaling status and plan your test cluster lifecycles in
your automated test capabilities for example.
WHAT IS THE DIFFERENCE BETWEEN CONTAINER INSIGHTS WITH AND WITHOUT ENHANCED
OBSERVABILITY?
Container Insights with enhanced observability for Amazon Elastic Kubernetes
Service (EKS) provides out-of-the-box detailed health and performance metrics,
which include container-level EKS performance metrics, Kube-state metrics, and
EKS control plane metrics for faster problem isolation and troubleshooting.
Enhanced observability enables customers to visually drill up and down across
various container layers and easily spot issues like memory leaks in individual
containers, reducing mean time to resolution. With control plane metrics,
customers can now monitor autoscaling status and plan their test cluster
lifecycles in their automated test capabilities to improve operational
efficiency. With enhanced observability, customers can now sort their clusters,
nodes, and workloads by resource consumption and quickly identify anomalies, set
up their own alarms to monitor closely, and mitigate risks proactively before
end user experience is impacted. Enhanced observability is an optional feature.
Container Insights without enhanced observability provides cluster- and
service-level aggregated metrics.
CAN I DECIDE WHICH EKS CLUSTERS I WANT TO USE CONTAINER INSIGHTS ENHANCED
OBSERVABILITY FOR?
Yes. You can decide to use Container Insights with or without enhanced
observability on a per-cluster basis. You can enable enhanced observability for
your clusters by installing the CloudWatch Observability add-on for EKS in your
clusters after they are created using the add-ons tab in your cluster info view.
Please see the CloudWatch Container Insights documentation on how to configure
your CloudWatch agent to enable enhanced observability for EKS.
WHICH CONTAINER SERVICES DOES ENHANCED OBSERVABILITY SUPPORT?
Container Insights with enhanced observability supports Amazon EKS.
HOW CAN I GET STARTED WITH CLOUDWATCH CONTAINER INSIGHTS?
You can get started collecting detailed performance metrics, logs, and metadata
from your containers and clusters or enable your CloudWatch Observability add-on
for enhanced observability in just a few clicks. To start using Container
Insights, please follow the steps provided in the Amazon CloudWatch Container
Insights documentation .
HOW IS CLOUDWATCH CONTAINER INSIGHTS PRICED?
More details on Container Insights pricing is available on the CloudWatch
pricing page.
ARE ALL PROMETHEUS METRICS TYPES SUPPORTED FOR THE PUBLIC BETA?
No. Current metric types supported are Gauge and Counters. Histogram and Summary
metrics are planned for an upcoming release.
WHAT IS PROMETHEUS AND WHY DO I WANT TO COLLECT PROMETHEUS METRICS IN
CLOUDWATCH?
Prometheus is a popular open source monitoring project, part of the Cloud Native
Compute Foundation (CNCF) . The open source community has built over 150 plugins
and defined a framework that DevOps teams can use to expose custom metrics to be
collected using a pull-based approach from their applications. With this new
feature, DevOps teams can automatically discover services for containerized
workloads such as AWS App Mesh , NGINX, and Java/JMX. They can then expose
custom metrics on those services, and ingest the metrics in CloudWatch. By
curating the collection and aggregation of Prometheus metrics, CloudWatch users
can monitor, troubleshoot, and alarm on application performance degradation and
failures faster while reducing the number of monitoring tools required.
HOW DOES METRIC STORAGE RETENTION WORK FOR PROMETHEUS METRICS?
Prometheus metrics are automatically ingested as CloudWatch custom metrics. The
retention period is 15 months per metric data point with automatic roll up
(<60secs available for 3 hours, one min available for 15 days, 5 min available
for 63 days, one hour available for 15 months). To learn more, see the
documentation on CloudWatch metrics retention .
DO YOU SUPPORT PROMQL AS A QUERY LANGUAGE?
No. All metrics are ingested as CloudWatch Logs events and can be queried using
CloudWatch Logs Insights queries. For more information, see the documentation on
CloudWatch Logs Insights search language syntax .
IS THE STORAGE RETENTION CONFIGURABLE FOR PROMETHEUS METRICS HIGH CARDINALITY
EVENTS INGESTED AS CLOUDWATCH LOGS?
Yes. Each Kubernetes (k8s) cluster has its own log group for the events (e.g.,
/aws/containerinsights//prometheus) with their own configurable retention
period. For more details, please refer to the documentation on log group
retention .
HOW DOES PRICING WORK WHEN INGESTING PROMETHEUS METRICS FROM MY CONTAINER
ENVIRONMENTS?
You will be charged for what you use for the following: (1) CloudWatch Logs
ingested by the Gigabyte (GB), (2) CloudWatch Logs stored, and (3) CloudWatch
custom metrics. Please refer to the CloudWatch pricing page for pricing details
in your AWS Region.
INTERNET MONITORING
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WHAT IS AMAZON CLOUDWATCH INTERNET MONITOR?
Amazon CloudWatch Internet Monitor helps you to continually monitor internet
availability and performance metrics between your AWS-hosted applications and
application end users. With Internet Monitor, you can quickly visualize the
impact of issues, pinpoint locations and providers that are affected, and then
take action to improve your end users' network experience. You can see a global
view of traffic patterns and health events and drill down into information about
events at different geographical granularities. If an issue is caused by the AWS
network, you'll receive an AWS Health Dashboard notification that tells you the
steps that AWS is taking to mitigate the problem. Internet Monitor also provides
insights and recommendations that can help you improve your users' experience by
using other AWS services.
HOW CAN I GET STARTED WITH INTERNET MONITOR?
To use Internet Monitor, you create a monitor and associate your application's
resources with it, Amazon Virtual Private Clouds (VPCs), CloudFront
distributions, or WorkSpaces directories, to enable Internet Monitor to know
where your application's internet traffic is. Internet Monitor then provides
internet measurements from AWS that are specific to the locations and networks
that communicate with your application.
Then you can use the CloudWatch dashboard to learn about health events, view
performance and availability scores, explore your application's historical data
at different geographic granularities, and get insights into how to configure
your application to improve performance for your end users.
Internet Monitor publishes internet measurements to CloudWatch Logs and
CloudWatch Metrics, so you can easily use CloudWatch tools to better understand
application health in geographies and networks specific to your application.
Internet Monitor also sends health events to Amazon EventBridge so that you can
set up notifications.
WHAT ARE THE COMPONENTS OF INTERNET MONITOR?
As you explore Internet Monitor, it helps to be familiar with the components and
concepts you'll see referenced in the service. Internet Monitor uses or
references the following: Monitor, CloudWatch logs, CloudWatch metrics,
city-networks, health events, Autonomous System Numbers (ASNs), monitored
resource, internet measurements, round-trip time, bytes transferred, and
performance and availability scores.
Read a quick description of these components in the documentation .
HOW MUCH DOES INTERNET MONITOR COST?
Internet Monitor pricing has the following components: A fee per monitored
resource, a fee per city-networks, and charges for the diagnostic logs published
to CloudWatch Logs. For more information, see the Amazon CloudWatch Internet
Monitor pricing page .
WHICH AWS REGIONS IS INTERNET MONITOR AVAILABLE IN?
For Internet Monitor, Regional support depends on the types of resources that
you add to your monitor. For Amazon CloudFront distributions and Amazon
WorkSpaces directories, Internet Monitor is available in all supported Regions.
For Amazon Virtual Private Clouds (VPCs), VPCs from an opt-in Region can be
added only to a monitor created in the same Region. For a complete list of
supported AWS Regions, see Amazon CloudWatch Internet Monitor endpoints.
LAMBDA MONITORING
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WHAT IS CLOUDWATCH LAMBDA INSIGHTS?
CloudWatch Lambda Insights is a feature for monitoring, troubleshooting, and
optimizing the performance and cost of your Lambda functions. Lambda Insights
simplifies the isolation and analysis of performance issues impacting your
Lambda environments. DevOps and systems engineers have access to automatic
dashboards in the CloudWatch console, giving them end-to-end operational
visibility of metrics, logs, and traces summarizing the performance and health
of their AWS Lambda functions.
HOW CAN I GET STARTED WITH CLOUDWATCH LAMBDA INSIGHTS?
You can get started collecting detailed performance metrics, logs, and metadata
from your Lambda functions by following these steps in the CloudWatch Lambda
Insights documentation .
HOW IS CLOUDWATCH LAMBDA INSIGHTS PRICED?
CloudWatch Lambda Insights automatically collects custom metrics from
performance events ingested as CloudWatch logs from your Lambda functions. More
details on pricing is available on the CloudWatch pricing page .
NETWORK MONITORING
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WHAT IS AMAZON CLOUDWATCH NETWORK MONITOR?
Network Monitor provides visibility into the performance and visibility of the
network connecting your AWS-hosted applications to your on-premises
destinations. Network Monitor enables you to quickly visualize packet loss and
latency of your hybrid network connections, set alerts and thresholds, and then
take action to improve your end users’ network experience. If your hybrid
network connections are over AWS Direct Connect, Network Monitor allows you to
identify the source of any network performance degradation within minutes.
WHAT 3 METRICS DOES NETWORK MONITOR VEND?
Network Monitor vends round-trip latency and packet loss for each probe
configured in the monitor. Additionally, for hybrid network connections over AWS
Direct Connect, Network Monitor vends a metric for the AWS Network Health
Indicator. These metrics are aggregated per VPC subnet and per destination
endpoint and posted to Amazon CloudWatch. You can then access CloudWatch
dashboards from within the Network Monitor console to view these metrics, set up
alarms, and view the AWS network health status to see when network issues
affected performance. You can also benchmark packet loss and round-trip latency
by observing the 30-day history of recorded metrics or set up alarms to be
notified of network events.
HOW MUCH DOES NETWORK MONITOR COST?
Network Monitor pricing has the following components: A fee per monitored
resource and charges for the metrics published to CloudWatch. For more
information, see the Amazon CloudWatch pricing and navigate to the Network
Monitor tab.
HOW CAN I GET STARTED WITH NETWORK MONITOR?
To use Network Monitor, you create a monitor and associate your application’s
resources with it. You choose source subnets belonging to your Amazon Virtual
Private Cloud (VPCs) and then you choose the destination IP addresses in your
on-premises network. Network Monitor creates a mesh of the possible source and
destination combinations, each of which is called a probe, within a single
monitor. Network Monitor creation is fully managed by AWS and you should be able
to view real-time metrics within minutes of setting up your monitors. Network
Monitor vends these real-time metrics to CloudWatch CloudWatch Metrics, so you
can easily use CloudWatch tools to better understand network health in AWS
regions specific to your network. Please refrence CloudWatch documention on
detailed set up instructions.
DIGITAL EXPERIENCE MONITORING
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WHAT IS AMAZON CLOUDWATCH DIGITAL EXPERIENCE MONITORING (DEM)?
Amazon CloudWatch DEM lets you monitor how your end users experience your
applications (including performance, availability, and usability).
Spot intermittent issues, get notified even when there is no user traffic, and
monitor your endpoints and UI using CloudWatch Synthetic canaries. Complement
synthetic monitoring with CloudWatch RUM to understand end user impact and to
get better visibility of your digital experience. With CloudWatch Evidently,
improve your end user’s digital experience by experimenting and validating new
designs and features.
WHAT IS AMAZON CLOUDWATCH RUM?
Amazon CloudWatch RUM is a real user monitoring feature that gives you
visibility into an application’s client-side performance to help you reduce mean
time to resolution (MTTR). With CloudWatch RUM, you can collect client-side data
on web application performance in real time to identify and debug issues. It
complements the CloudWatch Synthetics data to give you more visibility into the
end-user’s digital experience. You can visualize anomalies in performance and
use the relevant debugging data (such as error messages, stack traces, and user
sessions) to fix performance issues (such as JavaScript errors, crashes, and
latencies). You can also understand the range of end-user impacts, including
number of sessions, geolocations, or browsers. CloudWatch RUM aggregates data on
your users' journey through your application, which can help you determine which
features to launch and bug fixes to prioritize.
HOW CAN I GET STARTED WITH CLOUDWATCH RUM?
Create an app monitor in CloudWatch RUM and add the lightweight web client in
the HTML header of your application. Then start using CloudWatch RUM’s
dashboards to receive user insights from different geolocations, devices,
platforms, and browsers.
WHAT IS AMAZON CLOUDWATCH EVIDENTLY?
Amazon CloudWatch Evidently allows you to conduct experiments and identify
unintended consequences of new features before rolling them out for general use,
thereby reducing risk related to new feature roll-outs. Evidently allows you to
validate new features across the full application stack before release, which
makes for a safer release. When launching new features, you can expose them to a
smaller user base, monitor key metrics such as page load times or conversions,
and then dial up traffic. Evidently also allows developers to try out different
designs, collect user data, and release the most effective design in production.
It assists you in interpreting and acting on experiment results without the need
for advanced statistical knowledge. You can use the insights provided by
Evidently’s statistical engine (such as anytime p-value and confidence
intervals) to make decisions while an experiment is in progress.
HOW CAN I GET STARTED WITH CLOUDWATCH EVIDENTLY?
You can use the CloudWatch RUM JavaScript code snippet to collect client-side
user journeys and performance metrics. If desired, you can also add custom
metrics like conversions using the Evidently API. Next, new features to be
tested can be instrumented with the CloudWatch Evidently SDK, which provides the
ability to control how users get exposed to new features. Now you can run
launches and experiments, using either the AWS console or CLI.
WHAT IS AMAZON CLOUDWATCH SYNTHETICS?
Amazon CloudWatch Synthetics allows you to monitor application endpoints more
easily. It runs tests on your endpoints every minute, 24x7, and alerts you as
soon as your application endpoints don’t behave as expected. These tests can be
customized to check for availability, latency, transactions, broken or dead
links, step by step task completions, page load errors, load latencies for UI
assets, complex wizard flows, or checkout flows in your applications. You can
also use CloudWatch Synthetics to isolate alarming application endpoints and map
them back to underlying infrastructure issues to reduce mean time to resolution.
HOW CAN I GET STARTED WITH CLOUDWATCH SYNTHETICS?
It's easy to get started with CloudWatch Synthetics. You can write your first
passing canary in minutes. To learn more, visit the documentation on Amazon
CloudWatch Synthetics .
WHEN SHOULD I USE AMAZON CLOUDWATCH EVIDENTLY AND WHEN SHOULD I USE AWS
APPCONFIG?
The two services can be used separately, but are even better together.
AppConfig is a capability of AWS Systems Manager that you can use to create,
manage, and deploy feature flags and other application configuration. When
developing new features, you can use AppConfig to deploy a new feature to
production, but hide it behind a flag toggle. Once you are ready to launch, you
simply update your configuration to release the feature instantly or gradually.
For more advanced feature management and experimentation, you can use Evidently,
which is a new capability of Amazon CloudWatch. With Evidently you can run
experiments on different feature variations and compare them with a baseline, or
launch a feature variation on a schedule, while monitoring business metrics like
visit duration and revenue. Evidently also integrates with CloudWatch RUM, which
provides client-side application performance monitoring, so RUM metrics can be
used directly in Evidently.
METRICS ANALYTICS
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WHAT IS AMAZON CLOUDWATCH METRICS INSIGHTS?
CloudWatch Metrics Insights is a high-performance query engine that helps you
slice and dice your operational metrics in real time and create aggregations on
the fly using standard SQL queries. Metrics Insights helps you understand the
status of your application health and performance by giving you the ability to
analyze your metrics at scale. It is integrated with CloudWatch Dashboards, so
you can save your queries into your health and performance dashboards to
proactively monitor and pinpoint issues quickly.
HOW CAN I GET STARTED WITH CLOUDWATCH METRICS INSIGHTS?
To get started, just click on the metrics tab on your CloudWatch console, and
you will find Metrics Insights as a built-in query engine under Query tab at no
additional cost. While Metrics Insights comes with standard SQL language, you
can also get started with Metrics Insights by using the visual query builder. To
use the query builder, you select your metrics of interest, namespaces and
dimensions visually, and the console automatically constructs your SQL queries
for you, based on your selections. You can use the query editor to type in your
raw SQL queries anytime to dive deep and pinpoint issues to further granular
detail. Metrics Insights also comes with a set of out of the box sample queries
that can help you start monitoring and investigating your application
performance instantly. Metrics Insights is also available programmatically
through CloudFormation, the AWS SDK, and CLI.
AWS RESOURCE AND CUSTOM METRICS MONITORING
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WHAT CAN I MEASURE WITH AMAZON CLOUDWATCH METRICS?
Amazon CloudWatch allows you to monitor AWS cloud resources and the applications
you run on AWS. Metrics are provided automatically for a number of AWS products
and services, including Amazon EC2 instances, EBS volumes, Elastic Load
Balancers, Auto Scaling groups, EMR job flows, RDS DB instances, DynamoDB
tables, ElastiCache clusters, RedShift clusters, OpsWorks stacks, Route 53
health checks, SNS topics, SQS queues, SWF workflows, and Storage Gateways. You
can also monitor custom metrics generated by your own applications and services.
WHAT IS THE RETENTION PERIOD OF ALL METRICS?
You can publish and store custom metrics down to one-second resolution. Extended
retention of metrics was launched on November 1, 2016, and enabled storage of
all metrics for customers from the previous 14 days to 15 months. CloudWatch
retains metric data as follows:
Data points with a period of less than 60 seconds are available for 3 hours.
These data points are high-resolution custom metrics.
Data points with a period of 60 seconds (1 minute) are available for 15 days
Data points with a period of 300 seconds (5 minute) are available for 63 days
Data points with a period of 3600 seconds (1 hour) are available for 455 days
(15 months)
Data points that are initially published with a shorter period are aggregated
together for long-term storage. For example, if you collect data using a period
of 1 minute, the data remains available for 15 days with 1-minute resolution.
After 15 days this data is still available, but is aggregated and is retrievable
only with a resolution of 5 minutes. After 63 days, the data is further
aggregated and is available with a resolution of 1 hour. If you need
availability of metrics longer than these periods, you can use the
GetMetricStatistics API to retrieve the datapoints for offline or different
storage.
The feature is currently available in US East (N. Virginia), US West (Oregon),
US West (N. California), EU (Ireland), EU (Frankfurt), S. America (São Paulo),
Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia
Pacific (Mumbai), Asia Pacific (Sydney), EU (London), Canada (Central), US East
(Ohio), and China (Beijing).
WHAT IS THE MINIMUM RESOLUTION FOR THE DATA THAT AMAZON CLOUDWATCH RECEIVES AND
AGGREGATES?
The minimum resolution supported by CloudWatch is one-second data points, which
is a high-resolution metric, or you can store metrics at one-minute granularity.
Sometimes metrics are received by Cloudwatch at varying intervals, such as
three-minute or five-minute intervals. If you do not specify that a metric is
high resolution, by setting the StorageResolution field in the PutMetricData API
request, then by default CloudWatch will aggregate and store the metrics at
one-minute resolution.
Depending on the age of data requested, metrics will be available at the
resolutions defined in the retention schedules above. For example, if you
request for one-minute data for a day from 10 days ago, you will receive the
1440 data points. However, if you request for one-minute data from five months
back, the UI will automatically change the granularity to one-hour and the
GetMetricStatistics API will not return any output.
CAN I DELETE ANY METRICS?
CloudWatch does not support metric deletion. Metrics expire based on the
retention schedules described above.
CAN I QUERY METRICS FROM OTHER DATA SOURCES SUCH AS HYBRID AND MULTICLOUD
WORKLOADS, AMAZON RDS AND S3, OR MY OWN CUSTOM DATA?
Yes, Amazon CloudWatch supports querying data from multiple sources, helping you
monitor metrics on AWS, on premises, and other clouds. You can now troubleshoot
critical events in minutes, not hours, and gain visibility into your application
health, surfacing insights faster for seamless operations. Centralize your
querying, visualizing, and alarming across all of your monitoring tools in one
place.
WILL I LOSE THE METRICS DATA IF I DISABLE MONITORING FOR AN AMAZON EC2
INSTANCE?
No. You can always retrieve metrics data for any Amazon EC2 instance based on
the retention schedules described above. However, the CloudWatch console limits
the search of metrics to two weeks after a metric is last ingested to ensure
that the most up-to-date instances are shown in your namespace.
HOW DO I START QUERYING METRICS FROM MULTIPLE DATA SOURCES?
To get started, you navigate to the metrics query builder in the Amazon
CloudWatch console and open the data source selector. The selector allows you to
start a wizard to add a new data source to query and alarm on. You choose the
data source you want to query and specify access details such as a URL or path
and credentials. For more details, see documentation.
CAN I ACCESS THE METRICS DATA FOR A TERMINATED AMAZON EC2 INSTANCE OR A DELETED
ELASTIC LOAD BALANCER?
Yes. Amazon CloudWatch stores metrics for terminated Amazon EC2 instances or
deleted Elastic Load Balancers for 15 months.
WHY DOES THE GRAPHING OF THE SAME TIME WINDOW LOOK DIFFERENT WHEN I VIEW THE
METRICS IN FIVE-MINUTE AND ONE-MINUTE PERIODS?
If you view the same time window in a 5 minute period versus a 1 minute period,
you may see that data points are displayed in different places on the graph. For
the period you specify in your graph, Amazon CloudWatch will find all the
available data points and calculates a single, aggregate point to represent the
entire period. In the case of a 5 minute period, the single data point is placed
at the beginning of the 5 minute time window. In the case of a 1 minute period,
the single data point is placed at the 1 minute mark. We recommend using a one
minute period for troubleshooting and other activities that require the most
precise graphing of time periods.
WHAT IS A CUSTOM METRIC?
You can use Amazon CloudWatch to monitor data produced by your own applications,
scripts, and services. A custom metric is any metric you provide to Amazon
CloudWatch. For example, you can use custom metrics as a way to monitor the time
to load a web page, request error rates, number of processes or threads on your
instance, or amount of work performed by your application. You can get started
with custom metrics by using the PutMetricData API, our sample monitoring
scripts for Windows and Linux, CloudWatch collectd plugin, as well as a number
of applications and tools offered by AWS partners.
WHAT RESOLUTION CAN I GET FROM A CUSTOM METRIC?
A custom metric can be one of the following:
Standard resolution, with data having one-minute granularity
High resolution, with data at a granularity of one second
By default, metrics are stored at one-minute resolution in CloudWatch. You can
define a metric as high-resolution by setting the StorageResolution parameter to
one in the PutMetricData API request. If you do not set the optional
StorageResolution parameter, then CloudWatch will default to storing the metrics
at one-minute resolution.
When you publish a high-resolution metric, CloudWatch stores it with a
resolution of one second, and you can read and retrieve it with a period of one
second, five seconds, 10 seconds, 30 seconds, or any multiple of 60 seconds.
Custom metrics follow the same retention schedule listed above.
WHAT METRICS ARE AVAILABLE AT HIGH RESOLUTION?
Currently, only custom metrics that you publish to CloudWatch are available at
high resolution. High-resolution custom metrics are stored in CloudWatch at
one-second resolution. High resolution is defined by the StorageResolution
parameter in the PutMetricData API request, with a value of one, and is not a
required field. If you do not specify a value for the optional StorageResolution
field, then CloudWatch will store the custom metric at one-minute resolution by
default.
ARE HIGH-RESOLUTION CUSTOM METRICS PRICED DIFFERENTLY THAN REGULAR CUSTOM
METRICS?
No, high-resolution custom metrics are priced in the same manner as standard
one-minute custom metrics.
WHEN WOULD I USE A CUSTOM METRIC OVER HAVING MY PROGRAM EMIT A LOG TO
CLOUDWATCH LOGS?
You can monitor your own data using custom metrics, CloudWatch Logs, or both.
You may want to use custom metrics if your data is not already produced in log
format, for example operating system processes or performance measurements. Or,
you may want to write your own application or script, or one provided by an AWS
partner. If you want to store and save individual measurements along with
additional detail, you may want to use CloudWatch Logs.
WHAT STATISTICS CAN I VIEW AND GRAPH IN CLOUDWATCH?
You can retrieve, graph, and set alarms on the following statistical values for
Amazon CloudWatch metrics: Average, Sum, Minimum, Maximum, and Sample Count.
tatistics can be calculated for time intervals that are multiples of either one
minute or 60 seconds. For high-resolution custom metrics, statistics can be
computed for time periods between one second and three hours.
WHAT IS CLOUDWATCH APPLICATION INSIGHTS FOR .NET AND SQL SERVER?
Amazon CloudWatch Application Insights for .NET and SQL Server is a capability
that you can use to easily monitor your .NET and SQL Server applications. It
helps identify and set up key metrics and logs across your application resources
and technology stack, i.e. database, web (IIS) and application servers, OS, load
balancers, queues, etc. It constantly monitors these telemetry data to detect
and correlate anomalies and errors, to notify you of any problems in your
application. To aid in troubleshooting, it creates automatic dashboards to
visualize problems it detects which includes correlated metric anomalies and log
errors, along with additional insights to point you to their potential root
cause.
WHAT ARE THE BENEFITS OF USING CLOUDWATCH APPLICATION INSIGHTS FOR .NET AND SQL
SERVER?
Automatically recognize application metrics and logs: It scans your application
resources, provides a list of recommended metrics and logs to monitor, and sets
them up automatically, making it easier to set up monitoring for your
applications.
Intelligent problem detection: It uses built-in rules and machine learning
algorithms to dynamically monitor and analyze symptoms of a problem across your
application stack and detect application problems. It helps you reduce the
overhead of dealing with individual metric spikes, or events, or log exceptions,
and instead get notified on real problems, along with contextual information
these problems.
Faster troubleshooting: It assesses the detected problems to give you insights
on them, such as the possible root cause of the detected problem and list of
metrics and logs impacted because of the problem. You can provide feedback on
generated insights to make the problem detection engine specific to your use
case.
HOW DO I GET STARTED WITH MONITORING USING CLOUDWATCH APPLICATION INSIGHTS FOR
.NET AND SQL SERVER?
On-board application: Specify the application you want to monitor by choosing
the AWS Resource Group associated with it.
Identify application components: It analyzes your application resources to
identify application components (standalone resources, or groups of related
resources such as auto scaling groups and load balancer groups). You can also
customize components by grouping resources for better insights and easy
onboarding.
Enable monitoring: For your application components, you can specify the
technology tier i.e. IIS front-end, .NET worker tier, etc. Based on your
selection it provides a recommended set of metrics and logs that can be
customized based on your needs. Once you save these “monitors”, Application
Insights for .NET and SQL Server sets up CloudWatch to collect these on your
behalf.
Once onboarded, Application Insights for .NET and SQL Server uses a combination
of pre-built rules and machine learning models to start identifying application
problems. It creates automated dashboards on CloudWatch with the list of
problems detected, and a detailed view for these problems along with related
anomalies and errors.
WHAT IS CLOUDWATCH METRIC STREAMS?
CloudWatch Metric Streams is a feature that enables you to continuously stream
CloudWatch metrics to a destination of your choice with minimal setup and
configuration. It is a fully managed solution, and doesn’t require you to write
any code or maintain any infrastructure. With a few clicks, you can configure a
metric stream to destinations like Amazon Simple Storage Service (S3). You can
also send your metrics to a selection of third-party service providers to keep
your operational dashboards up to date.
WHY SHOULD I USE CLOUDWATCH METRIC STREAMS?
Metric Streams provides an alternative way of obtaining metrics data from
CloudWatch without the need to poll APIs. You can create a metric stream with
just a few clicks, and your metrics data will start to flow to your destination.
You can easily direct your metrics to your data lake on AWS such as on Amazon
S3, and start analyzing usage or performance with tools such as Amazon Athena.
Metrics Streams also makes it easier to send CloudWatch metrics to popular
third-party service providers using an Amazon Kinesis Data Firehose HTTP
endpoint. You can create a continuous, scalable stream including the most
up-to-date CloudWatch metrics data to power dashboards, alarms, and other tools
that rely on accurate and timely metric data.
HOW CAN I CREATE AND MANAGE CLOUDWATCH METRIC STREAMS?
You can create and manage Metric Streams through the CloudWatch Console or
programmatically through the CloudWatch API, AWS SDK, AWS CLI, or AWS
CloudFormation to provision and configure Metric Streams. You can also use AWS
CloudFormation templates provided by third-party service providers to set up
Metric Streams delivery to destinations outside AWS. For more information, see
the documentation on CloudWatch Metric Streams .
CAN I MANAGE METRICS TO BE INCLUDED IN MY CLOUDWATCH METRIC STREAM?
Yes. It is possible to choose to send all metrics by default, or create filter
rules to include and exclude groups of metrics defined by namespace, e.g.
AWS/EC2. Metric Streams automatically detects new metrics matching filter rules
and includes metric updates in the stream. When resources are terminated, Metric
Streams will automatically stop sending updates for the inactive metrics.
WHAT FORMATS DOES CLOUDWATCH METRIC STREAMS SUPPORT?
Metric Streams can output in either OpenTelemetry or JSON format. You can select
the output format when creating or managing metric streams.
CAN I MONITOR THE COST AND VOLUME OF DATA DELIVERED BY CLOUDWATCH METRIC
STREAMS?
Yes. You can visit the monitoring section of the Metric Streams console page.
You will see automatic dashboards for the volume of metric updates over time.
These metrics are also available under the AWS/CloudWatch namespace and can be
used to create alarms to send notifications in the case of an unusual spike in
volume.
LOG MONITORING
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WHAT LOG MONITORING DOES AMAZON CLOUDWATCH PROVIDE?
CloudWatch Logs lets you monitor and troubleshoot your systems and applications
using your existing system, application and custom log files.
With CloudWatch Logs, you can monitor your logs, in near real time, for specific
phrases, values or patterns. For example, you could set an alarm on the number
of errors that occur in your system logs or view graphs of latency of web
requests from your application logs. You can then view the original log data to
see the source of the problem. Log data can be stored and accessed for up to as
long as you need in highly durable, low-cost storage so you don’t have to worry
about filling up hard drives.
WHAT ARE AMAZON CLOUDWATCH VENDED LOGS?
Amazon CloudWatch Vended logs are logs that are natively published by AWS
services on behalf of the customer. VPC Flow logs is the first Vended log type
that will benefit from this tiered model. However, more AWS Service log types
will be added to Vended Log type in the future.
IS CLOUDWATCH LOGS AVAILABLE IN ALL REGIONS?
Please refer to Regional Products and Services for details of CloudWatch Logs
service availability by region.
HOW MUCH DOES CLOUDWATCH LOGS COST?
Please see our pricing page for the latest information.
WHAT KINDS OF THINGS CAN I DO WITH MY LOGS AND AMAZON CLOUDWATCH?
CloudWatch Logs is capable of monitoring and storing your logs to help you
better understand and operate your systems and applications. When you use
CloudWatch Logs with your logs, your existing log data is used for monitoring,
so no code change are required. Here are two examples of what you can do with
Amazon CloudWatch and your logs:
Real time Application and System Monitoring: You can use CloudWatch Logs to
monitor applications and systems using log data in near real time. For example,
CloudWatch Logs can track the number of errors that occur in your application
logs and send you a notification whenever the rate of errors exceeds a threshold
you specify. Amazon CloudWatch uses your log data for monitoring and
consequently it doesn't involve any code changes from you.
Long Term Log Retention: You can use CloudWatch Logs to store your log data for
as long as you need in highly durable and cost-effective storage without
worrying about hard drives running out of space. The CloudWatch Logs Agent makes
it easy to quickly move both rotated and non-rotated log files off of a host and
into the log service. You can then access the raw log event data when you need
it.
WHAT TYPES OF DATA CAN I SEND TO AMAZON CLOUDWATCH LOGS FROM MY EC2 INSTANCES
RUNNING MICROSOFT SQL SERVER AND MICROSOFT WINDOWS SERVER?
You can configure the EC2Config service to send a variety of data and log files
to CloudWatch including: custom text logs, Event (Application, Custom, Security,
System) logs, Event Tracing (ETW) logs, and Performance Counter (PCW) data.
Learn more about the EC2Config service here .
HOW FREQUENTLY DOES THE CLOUDWATCH LOGS AGENT SEND DATA?
The CloudWatch Logs Agent will send log data every five seconds by default and
is configurable by the user.
WHAT LOG FORMATS DOES CLOUDWATCH LOGS SUPPORT?
CloudWatch Logs can ingest, aggregate and monitor any text based common log data
or JSON-formatted logs.
WHAT IF I CONFIGURE THE CLOUDWATCH LOGS AGENT TO SEND NON-TEXT LOG DATA?
The CloudWatch Logs Agent will record an error in the event it has been
configured to report non text log data. This error is recorded in the
/var/logs/awslogs.log.
HOW DO I START MONITORING MY LOGS WITH CLOUDWATCH LOGS?
You can monitor log events as they are sent to CloudWatch Logs by creating
Metric Filters. Metric Filters turn log data into Amazon CloudWatch Metrics for
graphing or alarming. Metric Filters can be created in the Console or the CLI.
Metric Filters search for and match terms, phrases or values in your log events.
When a Metric Filter finds one of the terms, phrases or values in your log
events, it counts it in an Amazon CloudWatch Metric that you choose. For
example, you can create a Metric Filter to search for and count the occurrence
of the word “Error” in your log events. Metric Filters can also extract values
from space delimited log events, such as the latency of web requests. You can
also use conditional operators and wildcards to create exact matches. The Amazon
CloudWatch Console can help you test your patterns before creating Metric
Filters.
WHAT IS THE SYNTAX OF METRIC FILTER PATTERNS?
A Metric Filter pattern can contain search terms or a specification of your
common log or JSON event format.
For example, if you want to search for the term Error, the pattern for the
metric filter would just be the term Error. Multiple search terms can be
included to search for multiple terms. For example, if you wanted to count
events which contained the terms Error and Exception you would use the pattern
Error Exception. If you wanted to match the term Error Exception exactly, you
would put double quotes around the search term, "Error Exception". You can
specify as many search terms as you like.
CloudWatch Logs can also be used to extract values from a log event in common
log or JSON format. For example, you could track the bytes transferred from your
Apache access logs. You can also use conditional operators and wildcards to
match and extract the data you are interested in. To use the extraction feature
of Metric Filters, log events must be space delimited and use a starting and
ending double quote """, or, a starting square brace "[" and a closing square
brace "]"square, to enclose fields. Alternatively, they can be JSON-formatted
log events. For the full details of the syntax and examples, please see the
Developer Guide for Metric Filters .
HOW DO I KNOW THAT A METRIC FILTER PATTERN I SPECIFIED WILL MATCH MY LOG
EVENTS?
CloudWatch Logs lets you test the Metric Filter patterns you want before you
create a Metric Filter. You can test your patterns against your own log data
that is already in CloudWatch Logs or you can supply your own log events to
test. Testing your pattern will show you which log events matched the Metric
Filter pattern and, if extracting values, what the extracted value is in the
test data. Metric Filter testing is available for use in the console and the
CLI.
CAN I USE REGULAR EXPRESSIONS WITH MY LOG DATA?
Amazon CloudWatch Metric Filters does not support regular expressions. To
process your log data with regular expressions, consider using Amazon Kinesis
and connect the stream with a regular expression processing engine.
LOG MANAGEMENT
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HOW DO I RETRIEVE MY LOG DATA?
You can retrieve any of your log data using the CloudWatch Logs console or
through the CloudWatch Logs CLI. Log events are retrieved based on the Log
Group, Log Stream and time with which they are associated. The CloudWatch Logs
API for retrieving log events is GetLogEvents.
HOW DO I SEARCH MY LOGS?
You can use the CLI to retrieve your log events and search through them using
command line grep or similar search functions.
HOW LONG DOES CLOUDWATCH LOGS STORE MY LOG DATA?
You can store your log data in CloudWatch Logs for as long as you want. By
default, CloudWatch Logs will store your log data indefinitely. You can change
the retention for each Log Group at any time.
WHAT IS AMAZON CLOUDWATCH LOGS STANDARD?
Amazon CloudWatch Logs Standard is one of two log classes offered by CloudWatch.
Logs Standard delivers comprehensive log management intended for real-time
monitoring and advanced analytics capabilities like Live Tail, metric
extraction, alarming, and data protection. You can monitor your logs, in near
real time, for specific phrases, values or patterns. For example, you could set
an alarm on the number of errors that occur in your system logs or view graphs
of latency of web requests from your application logs. You can then view the
original log data to see the source of the problem.
WHAT IS AMAZON CLOUDWATCH LOGS INFREQUENT ACCESS (LOGS-IA)?
Amazon CloudWatch Logs Infrequent Access (Logs-IA) is one of two log classes
offered by CloudWatch. Logs-IA is purpose-built for consolidating all your logs
natively on AWS. It offers the managed ingestion, cross-account log analytics,
and encryption of CloudWatch Logs Standard, with a low per GB ingestion price.
This combination of tailored capabilities and low cost make CloudWatch Logs-IA
ideal for ad-hoc querying and after-the-fact forensic analysis. Log data can be
stored and accessed indefinitely in highly durable, low-cost storage so you
don’t have to worry about filling up hard drives.
HOW DO I ENABLE AMAZON CLOUDWATCH LOGS INFREQUENT ACCESS (LOGS-IA)?
Amazon CloudWatch Logs Infrequent Access (Logs-IA) is available in all AWS
Regions where CloudWatch Logs is available. You can get started in the console
or programmatically via AWS CLI or APIs
LOG ANALYTICS
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WHAT PERMISSIONS DO I NEED TO ACCESS LOGS INSIGHTS?
To access Logs Insights, your IAM policy must include permissions for
logs:DescribeLogGroups and logs:FilterLogEvents.
WHAT LOGS CAN I QUERY WITH CLOUDWATCH LOGS INSIGHTS?
You can use Logs Insights to query all logs being sent to CloudWatch. Logs
Insights automatically discovers the logs fields from logs from AWS services
such as Lambda, CloudTrail, Route53, and VPC Flow Logs; and any application log
that generates log events in JSON format. Additionally, for all log types, it
generates 3 system fields @message, @logStream, and @timestamp for all logs sent
to CloudWatch. @message contains the raw unparsed log event, @logStream contains
the name of the source that generated the log event, and @timestamp contains the
time at which the log event was added to CloudWatch.
WHICH QUERY LANGUAGE DOES CLOUDWATCH LOGS INSIGHTS SUPPORT?
Logs Insights introduces a new purpose-built query language for log processing.
The query language supports a few simple, but powerful query commands. You can
write commands to retrieve one or more log fields, find log events that match
one or more search criteria, aggregate your log data, and extract ephemeral
fields from your text-based logs. The query language is easy to learn, and Logs
Insights offers in-product help in the form of sample queries, command
descriptions, and query auto-completion to help you get started. You can find
additional details about the query language here.
WHAT ARE THE SERVICE LIMITS FOR CLOUDWATCH LOGS INSIGHTS?
The service limits are documented here .
WHAT REGIONS IS CLOUDWATCH LOGS INSIGHTS AVAILABLE IN?
Logs Insights is available in US West (Oregon), US West (N. California), US East
(Ohio), US East (N. Virginia), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia
Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada
(Central), EU (Frankfurt), EU (Ireland), EU (London), EU (Paris), South America
(São Paulo).
WHAT TYPE OF QUERIES DOES CLOUDWATCH LOGS INSIGHTS SUPPORT?
You can write queries containing aggregations, filters, regular expressions, and
text searches. You can also extract data from log events to create ephemeral
fields, which can be further processed by the query language to help you access
the information you are looking for. The query language supports string,
numeric, and mathematical functions, such as concat, strlen, trim, log, and
sqrt, among others. You can also use boolean and logical expressions, and
aggregate functions such as min, max, sum, average, and percentile, among
others. You can find additional details about the query language and supported
functions here .
WHAT QUERY COMMANDS AND FUNCTIONS CAN I USE WITH CLOUDWATCH LOGS INSIGHTS?
You can find a list of query commands here . You can find a list of supported
functions here .
WHAT DATA VISUALIZATIONS CAN I USE WITH CLOUDWATCH LOGS INSIGHTS?
You can use visualizations to identify trends and patterns that occur over time
within your logs. Logs Insights supports visualizing data using line charts and
stacked area charts. It generates visualizations for all queries containing one
or more aggregate functions, where data is grouped over a time interval
specified using the bin() function. You can find additional details about
visualizing timeseries data here .
CAN I USE REGULAR EXPRESSIONS WITH CLOUDWATCH LOGS INSIGHTS?
You can use Java-style regular expressions with Logs Insights. Regular
expressions can be used in the filter command. You can find examples of queries
with regular expressions using the in-product help or here .
HOW DO I ESCAPE SPECIAL CHARACTERS WITH CLOUDWATCH LOGS INSIGHTS QUERIES?
You can use backticks to escape special characters. Log field names that contain
characters other than alphanumeric characters, @, and . require escaping with
backticks.
WHY DO CERTAIN LOG FIELDS HAVE A “@” SIGN AND OTHERS DON’T?
System fields generated by Logs Insights begin with @. Logs Insights currently
generates 3 system fields @message which contains the raw, unparsed log event as
sent to CloudWatch, @logStream which contains the name of the source that
generated the log event, and @timestamp which contains the time when the log
event was added to CloudWatch.
CAN I SEARCH FOR LOG EVENTS FROM A SPECIFIC LOG STREAM?
You can search for log events from a specific log stream by adding the query
command filter @logStream = "log_stream_name" to your log query.
CAN I QUERY HISTORICAL LOGS WITH CLOUDWATCH LOGS INSIGHTS?
Logs Insights enables you to query log data that was added to CloudWatch Logs on
or after November 5, 2018.
TODAY I USE AN AWS PARTNER ISV SOLUTION TO ANALYZE MY LOGS FROM CLOUDWATCH. WHAT
DOES CLOUDWATCH LOGS INSIGHTS CHANGE FOR ME?
CloudWatch Logs already supports integration options with other AWS Services
such as Amazon Kinesis, Amazon Kinesis Data Firehose, Amazon Elasticsearch and
AWS Partner ISV solutions such as Splunk, Sumo Logic, and DataDog, among others,
to provide you with choice and flexibility across all environments, for your
custom log processing, enrichment, analytics, and visualization needs. In
addition, the query capabilities of CloudWatch Logs Insights are available for
programmatic access through the AWS SDK, to facilitate AWS ISV Partners to build
deeper integrations, advanced analytics, and additional value on top of
CloudWatch Logs Insights.
HOW WILL I BENEFIT FROM HAVING ACCESS TO QUERY CAPABILITIES OF CLOUDWATCH LOGS
INSIGHTS THROUGH AN AWS ISV PARTNER SOLUTION?
ISV Partner integrations with CloudWatch Logs Insights enable you to bring in
your log data into one place and have the ability to analyze using the tools and
frameworks of your choice in a high performance, cost-effective way, without
having to move large amounts of data. It also provides you with faster access to
your logs by removing the associated data transfer latencies and eliminates the
operational complexities of configuring and maintaining certain data transfers.
LOGS ANOMALY DETECTION
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WHAT IS AMAZON CLOUDWATCH LOGS ANOMALY DETECTION?
Powered by AI/ML, Amazon CloudWatch Logs Anomaly Detection is an automated logs
analytics feature that helps you cluster related logs to accelerate log
investigation, compares your logs over time to surface key insights, and
monitors your logs and notifies you when an unusual behavior occurs for faster
remediation. Using advanced algorithms, CloudWatch can automatically detect
unusual patterns and changes in your application logs, alerting you to potential
problems. You no longer need to update queries or filters every time your logs
change. With Logs Anomaly Detection, you can catch emerging errors and spikes in
log messages early before they impact you, identify new issues without needing
to know specifics in advance, get alerted to unusual activity without needing to
configure parameters, and continuously monitor your most important logs. By
surfacing potential issues proactively, CloudWatch Logs Anomaly Detection helps
you stay ahead of problems and deliver reliable performance.
WHY SHOULD I USE AMAZON CLOUDWATCH LOGS ANOMALY DETECTION?
Amazon CloudWatch Logs Anomaly Detection helps to automatically detect unusual
behavior in your application logs. While tools such as Metric Filters enable you
to monitor for specific, known variables, anomaly detection can identify
previously unknown conditions such as a newly occurring error code in your logs
or a sudden increase in a particular log message. Logs Anomaly Detection
flexibly evolves with your application logs over time and does not require you
to define complicated configuration parameters such as query or filter syntax.
Logs Anomaly Detection provides an additional degree of assurance for your most
critical application log groups.
WHAT TYPES OF LOGS ARE SUPPORTED?
Amazon CloudWatch Logs Anomaly Detection does not require a specific format of
logs to work. The feature uses Machine Learning to flexibly parse your logs.
CloudWatch Logs Anomaly Detection is most suited for application logs, such as
those generated from application code running in EC2, EKS, ECS, Lambda, and
other resources for running application code.
WHEN SHOULD I USE AMAZON CLOUDWATCH ANOMALY DETECTION AND WHEN I SHOULD USE
AMAZON DEVOPS GURU?
Amazon DevOps Guru offers an anomaly detection capability that is purpose-built
for specific application sources such as Lambda. Amazon CloudWatch Logs Anomaly
Detection is a solution that works with any application log. CloudWatch Logs
Anomaly Detection is available within the CloudWatch console.
LOGS LIVE TAIL
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WHAT IS AMAZON CLOUDWATCH LOGS LIVE TAIL?
Amazon CloudWatch Logs Live Tail is a new interactive analytics capability that
provides you a real-time view of your incoming logs. Using Live Tail you can
quickly troubleshoot issues: Developers can leverage a streaming view of their
logs to debug their code, and IT engineers can reliably monitor the status of
their deployments. Live Tail delivers to a real-time interactive view of logs in
the context of related events to help reduce mean time to detection and in turn
mean time to resolution.
WHY SHOULD I USE CLOUDWATCH LOGS LIVE TAIL?
You should use the interactive CloudWatch Live Tail capability for
out-of-the-box detection of application or deployment issues within your native
AWS Observability tools. Live Tail allows DevOps teams to gain deep visibility
into your critical application logs and debug code from within your development
environment without having to switch between multiple tools. Using Live Tail to
monitor the status and health of deployments, IT engineers, operations support,
and central security teams can efficiently monitor their services and
applications to expedite root-cause analysis and reduce mean time to resolution.
HOW DOES LIVE TAIL INTEGRATE OR INTERACT WITH OTHER AWS OR THIRD-PARTY
SERVICES?
In addition to providing Live Tail capabilities on custom application logs, Live
Tail also helps customers gain deep insights on logs by AWS Services including
Amazon Virtual Private Cloud, Amazon Route53, AWS Lambda, Amazon Elastic
Kubernetes Service, Amazon Elastic Container Service, and more. Using the Live
Tail widget, AWS services can embed the same interactive live tailing experience
into your consoles. Additionally, direct integration can also be implemented by
other services (such as Amazon Managed Grafana, AWS Thinkbox) to provide the
same deep-dive analytics capabilities to you from within your own console and
any application log that generates log events.
WHAT PERMISSIONS DO I NEED TO ACCESS LIVE TAIL?
For this feature to work as intended, the following operations should be allowed
for users. When starting a Live Tail session, if you are not part of the Admin
Role or have a policy including logs:*, please ensure to add the below actions
to your policy statement: logs:StartLiveTail and logs:StopLiveTail.
WHAT ARE THE SERVICE LIMITS FOR LIVE TAIL?
Learn more about Live Tail service limits .
WHAT AWS REGIONS IS LIVE TAIL AVAILABLE IN?
Live Tail is available in the US East (Ohio), US East (N. Virginia), US West (N.
California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia
Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada
(Central), EU (Frankfurt), EU (Ireland), EU (London), EU (Paris), and South
America (São Paulo) Regions.
WHAT TYPE OF FILTERING DOES CLOUDWATCH LOGS LIVE TAIL SUPPORT?
You can filter based on Log Groups, Log Streams, and filter by keywords. The log
groups selection supports multiple selections across multiple accounts when in
the monitoring account (cross-account observability). The log streams selection
supports multiple selections based on name or a prefix. Filter by keywords is
case sensitive. One or more keywords (for instance., error, exception, or fault)
can be entered to further narrow the focus of the search. You can type in the
keywords or copy and paste from the samples provided in the Info panel. Learn
more about filter patterns.
CAN I VIEW HISTORICAL LOGS WITH LIVE TAIL?
No, Live Tail provides real-time view of the logs data collected by CloudWatch.
For historical logs, refer to Logs Insights and Log Groups features.
LOGS DATA PROTECTION
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WHAT IS DATA PROTECTION IN AMAZON CLOUDWATCH LOGS?
Data protection is a feature in CloudWatch Logs that allows you to define your
own rules and policies to automatically detect and mask sensitive data within
logs that are collected from your systems and applications. This is done using
machine learning (ML) and pattern matching. Data can be viewed unmasked with
elevated Identity and Access Management (IAM) privileges.
WHY SHOULD I USE DATA PROTECTION IN CLOUDWATCH LOGS?
To prevent logging sensitive data, customers sometimes rely on manual
investigation or by configuring short log retention policies to delete logs,
which runs the risk of losing valuable operational logs. CloudWatch Logs data
protection automatically identifies and masks sensitive information in your logs
using pattern matching and ML without requiring that anybody access them. This
feature is useful for industries under strict regulations that need to make sure
that no personal information gets stored. Also, customers building payment or
authentication services where a lot of personal and sensitive information is
required can use this new feature to reduce the probability of unneeded
information getting stored in their logs.
WHAT KIND OF SENSITIVE DATA CAN I PROTECT IN CLOUDWATCH LOGS?
When you create the data protection policy in CloudWatch Logs, you can specify
the data you want to protect. There are many data identifiers for you to choose
from, such as email addresses, driver’s licenses from many countries, credit
card numbers, addresses, and more. The variety of targeted data identifiers
provides the flexibility to choose what sensitive data is used by your
applications and mask the sensitive data that does not need to be easily
accessible. It is important that you decide what information is sensitive to
your application and select the relevant identifiers for your use cases.
ALARMS
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WHAT TYPES OF CLOUDWATCH ALARMS CAN BE CREATED?
You can create an alarm to monitor any Amazon CloudWatch metric in your account.
For example, you can create alarms on an Amazon EC2 instance CPU utilization,
Amazon ELB request latency, Amazon DynamoDB table throughput, Amazon SQS queue
length, or even the charges on your AWS bill.
You can also create an alarm on custom metrics that are specific to your custom
applications or infrastructure. If the custom metric is a high-resolution
metric, you have the option of creating high-resolution alarms that alert as
soon as 10-second or 30-second periods.
With composite alarms, you can combine multiple alarms into alarm hierarchies.
This reduces alarm noise by triggering just once when multiple alarms fire at
the same time. You can provide an overall state for a grouping of resources like
an application, AWS Region, or Availability Zone.
Please reference the CloudWatch pricing page to learn more.
WHAT ACTIONS CAN I TAKE FROM A CLOUDWATCH ALARM?
When you create an alarm, you can configure it to perform one or more automated
actions when the metric you chose to monitor exceeds a threshold you define. For
example, you can set an alarm that sends you an email, publishes to an SQS
queue, stops or terminates an Amazon EC2 instance, or executes an Auto Scaling
policy. Since Amazon CloudWatch alarms are integrated with Amazon Simple
Notification Service, you can also use any notification type supported by
SNS. You can use the AWS Systems Manager OpsCenter action to automatically
create an OpsItem when an alarm enters the ALARM state. This helps you to
quickly diagnose and remediate issues with AWS resources from a single console.
WHAT THRESHOLDS CAN I SET TO TRIGGER A CLOUDWATCH ALARM?
When you create an alarm, you first choose the Amazon CloudWatch metric you want
it to monitor. Next, you choose the evaluation period (e.g., five minutes or one
hour) and a statistical value to measure (e.g., Average or Maximum). To set a
threshold, set a target value and choose whether the alarm will trigger when the
value is greater than (>), greater than or equal to (>=), less than (<), or less
than or equal to (<=) that value.
MY CLOUDWATCH ALARM IS CONSTANTLY IN THE ALARM STATE, WHAT DID I DO WRONG?
Alarms continue to evaluate metrics against your chosen threshold, even after
they have already triggered. This allows you to view its current up-to-date
state at any time. You may notice that one of your alarms stays in the ALARM
state for a long time. If your metric value is still in breach of your
threshold, the alarm will remain in the ALARM state until it no longer breaches
the threshold. This is normal behavior. If you want your alarm to treat this new
level as OK, you can adjust the alarm threshold accordingly.
HOW LONG CAN I VIEW MY ALARM HISTORY?
Alarm history is available for 14 days. To view your alarm history, log in to
CloudWatch in the AWS Management Console, choose Alarms from the menu at left,
select your alarm, and click the History tab in the lower panel. There you will
find a history of any state changes to the alarm as well as any modifications to
the alarm configuration.
DASHBOARDS
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WHAT IS CLOUDWATCH DASHBOARDS?
Amazon CloudWatch Dashboards allow you to create, customize, interact with, and
save graphs of AWS resources and custom metrics.
HOW DO I GET STARTED WITH CLOUDWATCH DASHBOARDS?
To get started, visit the Amazon CloudWatch Console and select “Dashboards”.
Click the “Create Dashboard” button. You can also copy the desired view from
Automatic Dashboards by clicking on Options -> “Add to Dashboard”.
WHAT ARE THE ADVANTAGES OF AUTOMATIC DASHBOARDS?
Automatic Dashboards are pre-built with AWS service recommended best practices,
remain resource aware, and dynamically update to reflect the latest state of
important performance metrics. You can now filter and troubleshoot to a specific
view without adding additional code to reflect the latest state of your AWS
resources. Once you have identified the root cause of a performance issue, you
can quickly act by going directly to the AWS resource.
DO THE DASHBOARDS SUPPORT AUTO REFRESH?
Yes. Dashboards will auto refresh while you have them open.
CAN I SHARE MY DASHBOARD?
Yes, a dashboard is available to anyone with the correct permissions for the
account with the dashboard.
EVENTS
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WHAT IS CLOUDWATCH EVENTS?
Amazon CloudWatch Events (CWE) is a stream of system events describing changes
in your AWS resources. The events stream augments the existing CloudWatch
Metrics and Logs streams to provide a more complete picture of the health and
state of your applications. You write declarative rules to associate events of
interest with automated actions to be taken.
WHAT SERVICES EMIT CLOUDWATCH EVENTS?
Currently, Amazon EC2, Auto Scaling, and AWS CloudTrail are supported. Via AWS
CloudTrail, mutating API calls (i.e., all calls except Describe*, List*, and
Get*) across all services are visible in CloudWatch Events.
WHAT CAN I DO ONCE AN EVENT IS RECEIVED?
When an event matches a rule you've created in the system, you can automatically
invoke an AWS Lambda function, relay the event to an Amazon Kinesis stream,
notify an Amazon SNS topic, or invoke a built-in workflow.
CAN I GENERATE MY OWN EVENTS?
Yes. Your applications can emit custom events by using the PutEvents API, with a
payload uniquely suited to your needs.
CAN I DO THINGS ON A FIXED SCHEDULE?
CloudWatch Events is able to generate events on a schedule you set by using the
popular Unix cron syntax. By monitoring for these events, you can implement a
scheduled application.
WHAT IS THE DIFFERENCE BETWEEN CLOUDWATCH EVENTS AND AWS CLOUDTRAIL?
CloudWatch Events is a near real time stream of system events that describe
changes to your AWS resources. With CloudWatch Events, you can define rules to
monitor for specific events and perform actions in an automated manner. AWS
CloudTrail is a service that records API calls for your AWS account and delivers
log files containing API calls to your Amazon S3 bucket or a CloudWatch Logs log
group. With AWS CloudTrail, you can look up API activity history related to
creation, deletion and modification of AWS resources and troubleshoot
operational or security issues.
WHAT IS THE DIFFERENCE BETWEEN CLOUDWATCH EVENTS AND AWS CONFIG?
AWS Config is a fully managed service that provides you with an AWS resource
inventory, configuration history, and configuration change notifications to
enable security and governance. Config rules help you determine whether
configuration changes are compliant. CloudWatch Events is for reacting in near
real time to resource state changes. It doesn’t render a verdict on whether the
changes comply with policy or give detailed history like Config/Config Rules do.
It is a general purpose event stream.
GET STARTED WITH AMAZON CLOUDWATCH
Getting started
GET STARTED WITH AMAZON CLOUDWATCH
Visit the Amazon CloudWatch console
Pricing
LEARN MORE ABOUT AMAZON CLOUDWATCH PRICING
Visit the pricing page
Contact us
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