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Submitted URL: https://s3.cn-north-1.amazonaws.com.cn/
Effective URL: https://aws.amazon.com/s3/
Submission Tags: falconsandbox
Submission: On November 30 via api from US — Scanned from US
Effective URL: https://aws.amazon.com/s3/
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Submission: On November 30 via api from US — Scanned from US
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Amazon DynamoDB Managed NoSQL database
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OSS
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Amazon RDS Managed relational database service for PostgreSQL, MySQL, MariaDB,
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Amazon Corretto Production-ready distribution of OpenJDK
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Amazon Location Service Securely and easily add location data to applications
Amazon Pinpoint Personalized user engagement across channels
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Amazon GameLift Simple, fast, cost-effective dedicated game server hosting
Amazon GameSparks Build game backends
Amazon Lumberyard A free cross-platform 3D game engine, with Full Source,
integrated with AWS and Twitch
AWS GameKit Deploy and customize game backend features directly from Unreal
Engine
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How Dead by Daylight survives the test of time using AWS
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Internet of Things
AWS IoT 1-Click One click creation of an AWS Lambda trigger
AWS IoT Button Cloud programmable dash button
AWS IoT Core Connect devices to the cloud
AWS IoT Device Defender Security management for IoT devices
AWS IoT Device Management Onboard, organize, and remotely manage IoT devices
AWS IoT Events IoT event detection and response
AWS IoT ExpressLink Quickly and easily develop secure IoT devices
AWS IoT FleetWise Easily collect, transform, and transfer vehicle data to the
cloud in near-real time
AWS IoT Greengrass Local compute, messaging, and sync for devices
AWS IoT SiteWise IoT data collector and interpreter
AWS IoT TwinMaker Optimize operations by easily creating digital twins of
real-world systems
AWS Partner Device Catalog Curated catalog of AWS-compatible IoT hardware
Amazon Kinesis Video Streams Capture, process, and analyze real-time video
streams
FreeRTOS Real-time operating system for microcontrollers
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Artificial Intelligence
Amazon Q Generative AI-powered assistant for work
Amazon Bedrock Build with foundation models
Amazon SageMaker Build, train, and deploy machine learning models at scale
AWS App Studio (Preview) Fastest and easiest way to build enterprise-grade
applications
Amazon Augmented AI Easily implement human review of ML predictions
Amazon CodeGuru Find your most expensive lines of code
Amazon Comprehend Discover insights and relationships in text
Amazon Comprehend Medical Extract health data
Amazon Elastic Inference Deep learning inference acceleration
Amazon Fraud Detector Detect more online fraud faster
AWS Entity Resolution Match and link related records with easy-to-configure
workflows
Amazon Kendra Reinvent enterprise search with ML
Amazon Lex Build voice and text chatbots
Amazon Lookout for Metrics Detect anomalies in metrics
Amazon Monitron End-to-end system for equipment monitoring
AWS HealthOmics Transform omics data into insights
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
Apache MXNet on AWS Scalable, open-source deep learning framework
PyTorch on AWS Flexible open-source machine learning framework
TensorFlow on AWS Open-source machine intelligence library
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Management & Governance
Amazon CloudWatch Monitor resources and applications
Amazon Managed Grafana Powerful interactive data visualizations
Amazon Managed Service for Prometheus Highly available, secure monitoring for
containers
AWS Auto Scaling Scale multiple resources to meet demand
AWS Chatbot ChatOps for AWS
AWS CloudFormation Create and manage resources with templates
AWS CloudTrail Track user activity and API usage
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
environment
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
environment
AWS Launch Wizard Easily size, configure, and deploy third party applications on
AWS
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
within Service Management Tools
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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Media Services
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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
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AWS Private 5G Easily deploy, manage, and scale a private cellular network
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Amazon Braket Explore and experiment with quantum computing
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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 Audit Manager Continuously audit your AWS usage
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AWS CloudHSM Hardware-based key storage for regulatory compliance
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AWS Network Firewall Network security to protect your VPCs
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Amazon S3
Overview Features Storage classes Pricing Security Resources FAQs
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* Products›
* Storage›
* Amazon S3
Start using Amazon S3 for free with the AWS Free Tier
AMAZON S3
Object storage built to retrieve any amount of data from anywhere
Sign up
Try for free
WHAT IS AMAZON S3?
Amazon Simple Storage Service (Amazon S3) is an object storage service offering
industry-leading scalability, data availability, security, and performance.
Millions of customers of all sizes and industries store, manage, analyze, and
protect any amount of data for virtually any use case, such as data lakes,
cloud-native applications, and mobile apps. With cost-effective storage classes
and easy-to-use management features, you can optimize costs, organize and
analyze data, and configure fine-tuned access controls to meet specific business
and compliance requirements.
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BENEFITS
SCALABILITY
You can store virtually any amount of data with S3 all the way to exabytes with
unmatched performance. S3 is fully elastic, automatically growing and shrinking
as you add and remove data. There’s no need to provision storage, and you pay
only for what you use.
DURABILITY AND AVAILABILITY
Amazon S3 provides the most durable storage in the cloud and industry leading
availability. Based on its unique architecture, S3 is designed to provide
99.999999999% (11 nines) data durability and 99.99% availability by default,
backed by the strongest SLAs in the cloud.
SECURITY AND DATA PROTECTION
Protect your data with unmatched security, data protection, compliance, and
access control capabilities. S3 is secure, private, and encrypted by default,
and also supports numerous auditing capabilities to monitor access requests to
your S3 resources.
LOWEST PRICE AND HIGHEST PERFORMANCE
S3 delivers multiple storage classes with the best price performance for any
workload and automated data lifecycle management, so you can store massive
amounts of frequently, infrequently, or rarely accessed data in a cost-efficient
way. S3 delivers the resiliency, flexibility, latency, and throughput, to ensure
storage never limits performance.
AMAZON S3 PRICING AND FREE TIER
S3's free tier offers a 12 month free trial that provides 5GB of Amazon S3
storage in the S3 Standard storage class; 20,000 GET Requests; 2,000 PUT, COPY,
POST, or LIST Requests; and 100 GB of Data Transfer Out each month. To learn
more about S3's free tier offering and cost effective pricing options, visit the
Amazon S3 pricing page.
USE CASES
* Data lakes
* Backup and restore data
* Archive data
* Generative AI
BUILD A DATA LAKE
A data lake is a centralized repository that allows you to store all your
structured and unstructured data at any scale. You can run data analytics,
artificial intelligence (AI), machine learning (ML), and high-performance
computing (HPC) applications to unlock the value of your data.
* With an Amazon S3 data lake, users in Salesforce’s organization can discover,
access, and analyze all their data, regardless of where it lives, in a secure
and governed way.
Read the Salesforce case study
BACKUP AND RESTORE CRITICAL DATA
Meet your recovery time objective (RTO), recovery point objective (RPO), and
compliance requirements with S3's robust replication functionality, data
protection with AWS Backup, and various AWS Partner Network solutions.
* Ancestry uses the Amazon S3 Glacier storage classes to restore terabytes of
images in mere hours instead of days.
Learn about the Amazon S3 Glacier and S3 Glacier Deep Archive storage classes
ARCHIVE DATA AT THE LOWEST COST
Move data archives to the Amazon S3 Glacier storage classes to lower costs,
eliminate operational complexities, and gain new insights.
* The BBC, a UK public service broadcaster, safely migrated its 100-year-old
flagship archive to Amazon S3 Glacier Instant Retrieval.
View the BBC case study
PUT YOUR DATA TO WORK
Because Amazon S3 stores more than 350 trillion objects (exabytes of data) for
virtually any use case and averages over 100 million requests per second, it may
be the starting point of your generative AI journey.
* Grendene is creating a generative AI-based virtual assistant for their sales
team using a data lake built on Amazon S3.
Read the Grendene case study
CUSTOMERS
Read more from our customers
INDUSTRY-LEADING SCALABILITY
“Modernizing the NASCAR technology stack by using AWS Storage is an incredibly
monumental step in our overall cloud adoption journey at NASCAR. Migrating all
our video, audio, and image libraries to the industry-leading scalability, data
availability, security, and performance of Amazon S3 allows us to spend more
time developing additional workflows that help our business.” —Chris Wolford,
Senior Director of Media and Event Technology, NASCAR
Read the NASCAR blog
COST SAVINGS
“You think about our 400 percent growth, and that translates into user growth
and data growth. Amazon S3 is a massively scalable storage service that we use
to serve our growing number of customers worldwide. By optimizing our Amazon S3
usage, we can stretch our IT budgets and extend the impact of our technology.” —
Manoj Kalyanaraman, Chief Technology Officer, Dropsuite
Read the Dropsuite case study
SEAMLESS INTEGRATION
“We needed a data repository that could expand dynamically with virtually no
maintenance, connect with other AWS services, and meet all our compliance
requirements—Amazon S3 was a perfect match.” — Juan Jose Behrend, Director of
Engineering, Pomelo
Read the Pomelo case study
A CORNERSTONE SOLUTION
“Amazon S3 is the cornerstone of our solution, and it gives us the durability
and reliability we need for storing critical data.” — Andre Sublett, Health
Cloud, Learning Factory, and Core Services engineer, GE Healthcare Digital
Read GE Healthcare Digital case study
HOW IT WORKS
Amazon S3 stores data as objects within buckets. An object is a file and any
metadata that describes the file. A bucket is a container for objects. To store
your data in Amazon S3, you first create a bucket and specify a bucket name and
AWS Region. Then, you upload your data to that bucket as objects in Amazon S3.
Each object has a key (or key name), which is the unique identifier for the
object within the bucket.
S3 provides features that you can configure to support your specific use case.
For example, you can use S3 Versioning to keep multiple versions of an object in
the same bucket, which allows you to restore objects that are accidentally
deleted or overwritten. Buckets and the objects in them are private and can only
be accessed with explicitly granted access permissions. You can use bucket
policies, AWS Identity and Access Management (IAM) policies, S3 Access Points,
and access control lists (ACLs) to manage access.
Enlarge and read image description.
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The diagram shows how to move data to Amazon S3, manage stored data in Amazon
S3, and analyze data with other services. Three sections display from left to
right.
The first section has an illustration of a database, a server, and a document.
The first section is titled "Move data." The first section says, "Move your data
to Amazon S3 from wherever it lives – in the cloud, in applications, or
on-premises." Nearby icons show different types of data: "analytics data," "log
files," "application data," "video and pictures," and "backup and archival."
The second section has an illustration of an empty bucket. The second section is
titled "Amazon S3." The second section says, "Object storage built to store and
retrieve any amount of data from anywhere."
The second section has more text under the heading "Store data." The text says,
"Create bucket, specify the Region, access controls, and management options.
Upload any amount of data." A nearby illustration shows a bucket that contains a
square, a circle, and a triangle.
The second section also has icons that show Amazon S3 features. The features are
"Control access to data," "Optimize cost with storage classes," "Replicate data
to any Region," "Access from on-premises or VPC," "Protect and secure your
data," and "Gain visibility into your storage."
The third section is titled "Analyze data." The third section says, "Use AWS and
third-party services to analyze your data to gain insights." Nearby icons show
ways of analyzing data: "artificial intelligence (AI)," "advanced analytics,"
and "machine learning (ML)."
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