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White Paper


NEW RELIC ONE: COMPLETE OBSERVABILITY, SIMPLIFIED

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INTRODUCTION

The good news about microservices and distributed systems is that they enable
developers to increase agility, scalability, and efficiency for customer-facing
applications and critical workloads. But there’s also bad news: debugging and
monitoring them is increasingly difficult as infrastructure is abstracted away
from the enterprise, and applications span a collection of third-party services,
legacy components, business APIs, and modern cloud solutions.

When an incident without a clear root cause arises, you may struggle to locate,
diagnose, and solve an issue that could negatively impact multiple application
stack layers. As a result, your company risks losing revenue and reputation as
digital properties slow or fail. 

The ever-expanding number of areas to monitor and react to—hybrid environments,
a wider surface area, increased operational data emitted across fragmented
tools, and constant alerts—is stretching teams and budgets. 

Some companies have adopted dozens of commercial and open source monitoring
tools in response. The end goal is better visibility across software and
systems, but the array of disconnected solutions—whether for infrastructure,
applications, logs, digital experience, and beyond—winds up creating tool
sprawl. When this happens, engineers continuously have to switch between
solutions to uncover problems, resulting in blind spots, increased toil, and
unnecessary challenges, usually during critical moments.

Mounting costs—in both developer time to learn and embrace new tools as well as
operating and capital expenses—are also considerations. And while open source
tools can seem like opportunities to avoid vendor costs, many organizations
still struggle to forecast the ultimate infrastructure and human effort required
to maintain and operate these solutions.


CREATING BETTER SOFTWARE AMID MOUNTING COMPLEXITY

Despite these challenges, most engineers still have a similar, singular focus:
Building and maintaining code that performs well in production. If something
goes wrong, you need to understand, find, and fix the issue quickly. 

Delivering more perfect software is a constant challenge, but the companies that
do it well often see three main outcomes: 

 * Improved uptime and performance. Delivering an exceptional digital customer
   experience that drives engagement, conversion, and brand affinity requires
   your development and operations teams to have the visibility and tools needed
   to identify, diagnose, and repair issues quickly. 

 * Greater scale and efficiency. As your company grows, you must maintain a firm
   handle on your environments as you migrate workloads to the cloud to gain
   scale, re-architect applications and infrastructure, and adopt architectures
   such as microservices and serverless. You must also rationalize disparate
   tools to eliminate data silos, enable holistic visibility, and reduce costs.
   Our research indicates that the average respondent collects telemetry data
   from less than half of their systems.

 * Accelerated time to market. Today’s consumers are more demanding than ever.
   You must equip your development teams with data and tools to support faster
   feature delivery, rapid recovery, and more experimentation to drive
   competitive business advantages. You also must gain agility with continuous
   delivery practices such as configuration management, continuous integration,
   and automated testing. Successful DevOps teams foster a culture of
   collaboration and visibility, so engineers across organizational boundaries
   can share learnings, coordinate better, and know exactly where to focus.

To achieve these goals of improved uptime and performance, greater scale and
efficiency, and accelerated time to market, software teams must prioritize
observability.


SOLVING MODERN SYSTEMS’ CHALLENGES WITH OBSERVABILITY

Long gone are the days of infrequent, waterfall software releases in monolithic
applications. Today, disparate teams continuously push software updates into
production into ephemeral architectures such as containers.

The reality is that change—in infrastructure, code, and end-user behavior—is the
hallmark of modern systems. And this change doesn’t inherently need to be risky.
You need technology partners that can help you effectively balance system
reliability with speed.

You need to see how all of your applications and their underlying services and
systems relate, so you can understand dependencies across organizational
boundaries, and troubleshoot and solve problems faster.

And the holy grail: You need to be able to ask ad hoc questions of your data in
real time, even if—especially if—you didn’t initially anticipate needing to ask
those questions. When you do that, you get observability.

Simply put, observability is how well you can understand the behavior of your
complex digital system. It involves proactively collecting operational
data—that’s metrics, events, logs, and traces (or MELT for short)—in one place,
visualizing the connections between that data via intuitive experiences,  and
applying intelligence to instantly detect, diagnose, and resolve issues before
your customers notice. If monitoring tells you when something is wrong,
observability lets you ask why.


NEW RELIC ONE: OBSERVABILITY MADE SIMPLE

To achieve observability, you need the right technology platform. The platform
must be able to ingest telemetry data from any source, whether proprietary or
open source. It must allow you to flexibly query your telemetry data and give
you a rearview understanding of known unknowns, and let you interrogate the
“unknown unknowns” of your dynamic systems. Cardinality can’t be a restraint.

Enter New Relic One—the cloud-based observability platform built to help you
create more perfect software. It now includes three core components:



Full-Stack Observability lets you easily visualize, analyze, and troubleshoot
your entire software stack in one connected experience. You can stop switching
between disparate tools and trying to stitch together scattered data to figure
out what went wrong. With rich analytics and a curated user experience,
Full-Stack Observability surfaces the context your teams need to pinpoint and
resolve problems within your infrastructure, applications, and end-user
experience faster.

Applied Intelligence gives you the ability to detect, understand, and resolve
incidents faster. By harnessing the power of artificial intelligence and machine
learning, Applied Intelligence offers AIOps capabilities that reduce alert
noise, helping you find insights in the data that would otherwise go unnoticed.

Telemetry Data Platform lets you ingest, visualize, and alert on all your
metrics, events, logs, and traces from any source—all in one place. The world’s
most powerful, managed, open, and unified telemetry database now comes with
out-of-the-box integrations for popular open source tools to enable easy setup
and eliminate the cost and complexities of hosting, operating, and managing
additional monitoring systems or data stores. With all of your telemetry data in
one place, you can investigate your unknown unknowns with confidence. 


FULL-STACK OBSERVABILITY

Full-Stack Observability gives you simple, intuitive, curated monitoring
experiences that span your entire estate, from applications and infrastructure
to logs and serverless apps, through the end-user experience. You’ll gain
automatic connections to your data—regardless of telemetry type or where that
data was generated in the stack—which gives you the quick context you need to
navigate between common threads. 

Full-Stack Observability empowers you to understand and troubleshoot problems
across your entire software stack in one curated, unified experience with these
foundational capabilities:


NEW RELIC EXPLORER





New Relic Explorer is an intuitive experience for visualizing and exploring all
your telemetry data, regardless of source, from infrastructure hosts to mobile
apps, distributed services to cloud APIs, and everything in between. Discover
emerging issues in real time without relying on static, preconfigured thresholds
or dashboards so you can get your system back to full health before your
customers notice any problems. 

 * Get answers faster. Breaks down silos and enables teams to observe their
   entire system in one place so they can quickly understand health and changes
   across their environment and resolve issues faster. There’s no configuration
   needed so you can start discovering insights right away. 
 * See everything in one place. Provides an estatewide view of all your
   telemetry data with real-time change analysis that helps spot unwelcome
   changes to the operating environment. 
 * Simple and intuitive. Enables teams to efficiently traverse large distributed
   systems with intuitive visualizations that drive quick understanding and
   prioritization of any issue. You get unlimited possibilities to easily
   explore all your data with point-and-click filtering and grouping for all
   entities, by entity types or tags.


APM




APM provides flexible, in-depth, and curated views into modern applications,
regardless of how they’re developed or where they’re running. With
out-of-the-box instrumentation and opinionated workflows, APM lets you quickly
detect anomalies, discover deficiencies, and improve performance on key metrics
for business-critical applications and distributed services. With APM, teams
can:

 * Rapidly ship new features. Extensive, curated visibility from a single screen
   reduces complexity and risk, and lets you deploy services quickly with
   confidence.
 * Resolve problems and outages quickly. Find root causes and fix issues fast,
   thanks to in-depth transaction details that show exact method calls with line
   numbers, including external dependencies for apps of any size and complexity.
 * Optimize service performance. Get a full picture by combining key metrics
   from mobile and browser apps with supporting services, datastores, and hosts,
   to optimize performance holistically.


INFRASTRUCTURE MONITORING




With Infrastructure Monitoring, you quickly understand what’s happening in your
infrastructure, including servers running on-premises, VMs running in the cloud,
containers orchestrated by Kubernetes, or any combination thereof. Intuitively
monitor, manage, scale, correlate, and optimize the infrastructure that supports
your applications. Specifically, with Infrastructure Monitoring, teams can:

 * Prevent outages with contextual monitoring. Confidently make sense of complex
   relationships and dependencies in your distributed operating environment. By
   correlating infrastructure telemetry with logs, configuration changes, and
   application performance data, your teams can surface data in the right
   context to understand how the infrastructure and applications impact one
   another.
 * Get multidimensional views into Kubernetes clusters. Drill down into
   Kubernetes data and metadata with a high-fidelity, curated UI that simplifies
   complex environments.
 * Leverage cloud-ready integrations. Out-of-the-box integrations offer a
   comprehensive set of telemetry from services such as databases, web servers,
   network devices, search engines, queuing systems, and cloud providers.
 * Search your entire host infrastructure. Infrastructure Monitoring collects
   detailed information about a system's configuration per host, including
   system modules, configuration files, metadata, packages, services, user
   sessions, and more.


SERVERLESS MONITORING




Serverless Monitoring gives unified visibility into the most detailed behaviors
of your serverless applications. This capability allows your teams to function
faster and deliver with assurance on serverless architectures. With Serverless
Monitoring, teams can:

 * Debug intelligently. Deliver serverless apps with increased confidence by
   rapidly identifying when problems arise and quickly pinpointing the
   cause—without wading through millions of invocation logs. 
 * Spend less time instrumenting and more time building. Rapidly auto-instrument
   monitoring and observability to your serverless functions without requiring
   code changes.
 * Get unified visibility across your entire ecosystem. Serverless Monitoring
   gives you auto-instrument tracing for your legacy application components
   alongside the performance of modern serverless components—from backend
   infrastructure to client-side apps.


DIGITAL EXPERIENCE MONITORING





Get rapid visibility into how end users experience your mobile apps and web
browsers. Analyze actual or simulated end-user behavior to hone in on metrics
such as load time, availability, and errors, while staying grounded in the
backend services that enable these critical digital experiences. With Digital
Experience Monitoring, teams can:

 * Maintain mobile app stability. Identify the crashes that are most affecting
   your app and fix them faster using breadcrumbs and the event trail. 
 * Analyze endpoint performance and latency. Detect and resolve uptime and
   performance issues of service, URL, and API endpoints for customer- and
   employee-facing applications.
 * Explore end-user engagement and activity. Understand how your releases impact
   KPIs for your mobile app, top users, and overall business.
 * Optimize customer experience (CX). Benchmark and improve site speed and
   performance to increase customer engagement, satisfaction, and business
   outcomes. 
 * Debug errors. Get all the tools and context your cross-functional teams
   require to quickly troubleshoot and resolve errors, latency, and anomalies as
   you make changes to Javascript and end-to-end transactions.


LOGS IN CONTEXT




Logs in Context offers visibility into any text-based data or data that can be
converted to text originating either on-premises or in the cloud. With Logs in
Context, teams can:

 * Troubleshoot faster. Combining logs with other telemetry data types enables
   complete observability. With correlated log visibility at scale, teams can
   troubleshoot distributed systems faster and reduce mean time to detection
   (MTTD) and mean time to resolution (MTTR). A single click takes you from
   errors, traces, or spans to the correlated logs for quick root cause
   analysis.


APPLIED INTELLIGENCE

Detect, understand, and resolve incidents faster with the easy-to-use, powerful
Applied Intelligence capabilities that quiet alert noise and deliver critical
data observations that you would otherwise miss without the assistance of
machine learning. 

Applied Intelligence benefits and capabilities include:

 * Faster to connect, gain value. Connect the tools (Slack, PagerDuty, Splunk,
   Grafana, Prometheus, Amazon CloudWatch) you already use in a few clicks with
   our guided configuration UI, webhooks, and APIs. Ingest alerts, incidents,
   and event data from any source.
 * Automatic anomaly detection with context. Proactively monitor your services
   for anomalies based on Site Reliability Engineering (SRE) golden signals—such
   as latency, errors, and traffic—and get notified with real-time failure
   warnings and anomaly analysis to troubleshoot faster.
 * Reduce alert noise and fatigue. Establish relationships among incidents,
   including flapping detection and smart suppression to reduce noise from
   low-priority, auto-resolving alerts by as much as 90%.
 * Infuse correlations with decision logic. Quickly build correlation logic with
   an intuitive decision builder that tells AI what data to compare, correlate,
   the maximum time period to consider, and the minimum number of alerts to
   correlate. You can even choose specific out-of-the-box similarity algorithms
   to use, giving you full power and control.
 * Total transparency into incident correlation. Get full transparency into why
   and how correlations perform to provide confidence and reduce noise while
   ensuring that critical signals don’t go unnoticed.
 * Diagnose and respond faster with incident intelligence. Enrich correlated
   incidents with deeper context and metadata to troubleshoot and understand
   issues, get closer to the root cause, and resolve them faster. 
 * Escalate incidents to the right responders faster. Route correlated incidents
   to the team members best equipped to respond, thus making noisy, misdirected
   alerts a thing of the past. 
 * No changes to your existing incident response workflow. Deliver correlated,
   enriched incidents into tools such as PagerDuty, OpsGenie, ServiceNow, and
   more, so you don’t need to reinvent incident response.


TELEMETRY DATA PLATFORM

The capabilities, features, and experiences in Full-Stack Observability and
Applied Intelligence are all powered by the Telemetry Data Platform, a massively
scalable, time-series database that lets teams collect, explore, and alert on
all metrics, events, logs, and traces from any source—all in one place.




Telemetry Data Platform benefits include:

 * SaaS platform. Highly available, resilient, scalable, powerful, SaaS platform
   with long-term retention, so you don’t need to operate and manage additional
   systems.
 * Open, unified telemetry database. One place to ingest, analyze, visualize,
   and alert on all metrics, events, logs, and traces, so you can build
   dashboards to understand and resolve issues faster than ever.
 * Enterprise-grade. Built and operated with the highest security and encryption
   levels, including encryption at rest and role-based access control (RBAC), to
   ensure you meet regulatory and compliance requirements—such as FedRAMP
   moderate impact level and General Data Protection Regulation (GDPR).
   Dedicated experts are available 24x7 via customer support.
 * Comprehensive and future-proof. Benefit from the innovation of New Relic’s
   dedicated development teams as well as the open source community that is
   building a wide range of solutions.


GAIN VISIBILITY INTO YOUR COMPLEX SYSTEMS WITH NEW RELIC ONE

New Relic One makes it easy for engineers to spend less time troubleshooting and
more time building more perfect software. It’s a massively scalable, extensible
SaaS platform that can collect all infrastructure and application data, quickly
visualize that data in connected views, and apply machine learning techniques to
deliver benefits such as anomaly detection, event correlation, and alert
suppression. Welcome to the age of observability for all. 

SIGN UP FOR A FREE NEW RELIC ONE ACCOUNT TODAY.



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In this article
 * Introduction
 * Creating Better Software Amid Mounting Complexity
 * Solving Modern Systems’ Challenges with Observability
 * New Relic One: Observability Made Simple
 * Full-Stack Observability
 * Applied Intelligence
 * Telemetry Data Platform

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