Sexy Woman jeans Women's Beige Spring-Summer cod. 83668 IE

Amazon S3

Object storage built to store and retrieve any amount of data from anywhere

NWT Asos High waist Wide Leg 70s Medium Wash jeans denim W26 L32 Orig
One Teaspoon Awesome Baggies in Romance Destroyed Knee Straight Jeans 28 x 30
Jeans women Pantaloni MET Made in Slim Fit Spinozz SA183 Tg 31 veste 30 31 NWT ERMANNO SCERVINO DUSTY PINK BOUCLE WOOL Dress Size It44 US S M

Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. This means customers of all sizes and industries can use it to store and protect any amount of data for a range of use cases, such as websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides easy-to-use management features so you can organize your data and configure finely-tuned access controls to meet your specific business, organizational, and compliance requirements. Amazon S3 is designed for 99.999999999% (11 9's) of durability, and stores data for millions of applications for companies all around the world.

Diesel Industry women's Ryoth bluee denim leather detail jeans WASH 008AB pic309 Introduction to Amazon S3


Industry-leading performance, scalability, availability, and durability

Jeans women Pantaloni MET Jeans Made in Slim Fit C632 Tg 30

Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% (11 9’s) of data durability because it automatically creates and stores copies of all S3 objects across multiple systems. This means your data is available when needed and protected against failures, errors, and threats.
Learn about S3 data durability »

Wide range of cost-effective storage classes

Save costs without sacrificing performance by storing data across the S3 Storage Classes, which support different data access levels at corresponding rates. You can use S3 Storage Class Analysis to discover data that should move to a lower-cost storage class based on access patterns, and configure an S3 Lifecycle policy to execute the transfer. You can also store data with changing or unknown access patterns in S3 Intelligent-Tiering, which tiers objects based on changing access patterns and automatically delivers cost savings.
Learn more about the S3 Storage Classes »

Unmatched security, compliance, and audit capabilities

Store your data in Amazon S3 and secure it from unauthorized access with encryption features and access management tools. You can also use Amazon Macie to identify sensitive data stored in your S3 buckets and detect irregular access requests. Amazon S3 maintains compliance programs, such as PCI-DSS, HIPAA/HITECH, FedRAMP, EU Data Protection Directive, and FISMA, to help you meet regulatory requirements. AWS also supports numerous auditing capabilities to monitor access requests to your S3 resources.
Learn more about S3 security and Rachel Allan Prima women 5950 Hunter Green Pageant Gala Gown Dress sz 0


Management tools for granular data control

Classify, manage, and report on your data using features, such as: S3 Storage Class Analysis to analyze access patterns; S3 Lifecycle policies to transfer objects to lower-cost storage classes; S3 Cross-Region Replication to replicate data into other regions; S3 Object Lock to apply retention dates to objects and protect them from deletion; and S3 Inventory to get visbility into your stored objects, their metadata, and encryption status. You can also use S3 Batch Operations to change object properties and perform storage management tasks for billions of objects. Since Amazon S3 works with AWS Lambda, you can log activities, define alerts, and automate workflows without managing additional infrastructure.
Learn more about S3 storage management features »

Query-in-place services for analytics

Run big data analytics across your S3 objects (and other data sets in AWS) with our query-in-place services. Use Amazon Athena to query S3 data with standard SQL expressions and Amazon Redshift Spectrum to analyze data that is stored across your AWS data warehouses and S3 resources. You can also use S3 Select to retrieve subsets of object data, instead of the entire object, and improve query performance by up to 400%.
Learn more about query in place »

Big Star Women's Casey K Jeans Bootcut Distressed Heavy Stitch Stretch Size 30R

Most supported cloud storage service

Escada Sport Brown Cotton Stretchy Jean Pants size 34 - 4 US

Store and protect your data in Amazon S3 by working with a partner from the AWS Partner Network (APN) — the largest community of technology and consulting cloud services providers. The APN recognizes migration partners that transfer data to Amazon S3 and storage partners that offer S3-integrated solutions for primary storage, backup and restore, archive, and disaster recovery. You can also purchase an AWS-integrated solution directly from the AWS Marketplace, which lists over 250 storage-specific offerings.Kut From The Kloth Catherine Slim Boyfriend Distress Womens bluee Jeans Size 8 andN94 AG Adriano goldschmeid FARRAH HIGH RISE SKINNY Jeans sz 29R (Mea 29.5x31)

J BRAND Maria Skinny Leg High Rise Dynamite dark Wash Jeans Womens Size 32

How it works — S3 Batch Operations

Acne Jeans Dark bluee Straight Leg Jeans Size 25 34 Box43 04 A S3BatchOperationsHowitworks
525 VI-J3172 Dames jeans - kleur Donkerbluew NL
ANN TAYLOR Jeans Cream New Straight Leg MidRise Stretch Denim SZ 10

S3 Batch Operations lets you manage billions of objects at scale with just a few clicks in the Amazon S3 Management Console or a single API request. With S3 Batch Operations, you can make changes to object metadata and properties, or perform other storage management tasks, such as copying objects between buckets, replacing object tag sets, modifying access controls, and restoring archived objects from S3 Glacier — instead of taking months to develop custom applications to perform these tasks. Learn more by RALPH LAUREN JEANS COMPANY, SIZE 6, BOOTCUT, STRETCHY, MID RISE JEANS

Use cases

Backup and restore

Build scalable, durable, and secure backup and restore solutions with Amazon S3 and other AWS services, such as S3 Glacier, Amazon EFS, and Amazon EBS, to augment or replace existing on-premises capabilities. AWS and APN partners can help you meet Recovery Time Objectives (RTO), Recovery Point Objectives (RPO), and compliance requirements. With AWS, you can back up data already in the AWS Cloud or use AWS Storage Gateway, a hybrid storage service, to send backups of on-premises data to AWS.
Learn more about backup and restore »

Disaster recovery (DR)

Protect critical data, applications, and IT systems that are running in the AWS Cloud or in your on-premises environment without incurring the expense of a second physical site. With Amazon S3 storage, S3 Cross-Region Replication, and other AWS compute, networking, and database services, you can create DR architectures in order to quickly and easily recover from outages caused by natural disasters, system failures, and human errors.Lou and Grey Size Extra Small XS 100% Lyocell Eco Friendly Pants Pink

J Brand Women's Bell Botton Jeans Size 26 Dark Wash Denim


Retire physical infrastructure, and archive data with S3 Glacier and S3 Glacier Deep Archive. These S3 Storage Classes retain objects long-term at the lowest rates. Simply create an S3 Lifecycle policy to archive objects throughout their lifecycles, or upload objects directly to the archival storage classes. With S3 Object Lock, you can apply retention dates to objects to protect them from deletions, and meet compliance requirements. Unlike tape libraries, S3 Glacier lets you restore archived objects in as little as one minute for expedited retrievals and 3-5 hours for standard retrievals. Bulk data restores from S3 Glacier and all restores from S3 Glacier Deep Archive are completed within 12 hours.
Learn more about archiving »

NWT LEVEL 99 Women's STUNE Med. Wash High-Rise Cropped Distressed Jeans 28
Pantaloni women MET Made in Slim Fit Body SS E LU040 Tg 24 31

Data lakes and big data analytics

Accelerate innovation by creating a data lake in Amazon S3, and extract valuable insights using query-in-place, analytics, and machine learning tools. You can also use AWS Lake Formation to quickly create a data lake, and centrally define and enforce security, governance, and auditing policies. The service collects data across your databases and S3 resources, moves it into a new data lake in Amazon S3, and cleans and classifies it using machine learning algorithms. All AWS resources can be scaled up to accommodate your expanding data stores — without upfront investments.
Learn more about and

NWT Carmar Denim Womens Jordan Jeans Acid Wash Size 26

Hybrid cloud storage

Create a seamless connection between on-premises applications and Amazon S3 with AWS Storage Gateway in order to reduce your data center footprint, and leverage the scale, reliability, and durability of AWS, as well as AWS’ innovative machine learning and analytics capabilities. You can also automate data transfers between on-premises storage and Amazon S3 by using AWS DataSync, which can transfer data at speeds up to 10 times faster than open-source tools. Another way to enable a hybrid cloud storage environment is to work with a gateway provider from the APN. You can also transfer files directly into and out of Amazon S3 with AWS Transfer for SFTP — a fully managed service that enables secure file exchanges with third parties.
Learn more about , AWS DataSync, and

Cloud-native application data

Build fast, cost-effective mobile and Internet-based applications by using AWS services and Amazon S3 to store production data. With Amazon S3, you can upload any amount of data and access it anywhere in order to deploy applications faster and reach more end users. Storing data in Amazon S3 also means you have access to the latest AWS developer tools and services for machine learning and analytics to innovate and optimize your cloud-native applications.

Fornarina VI-FRN0384 Women's jeans - colour Pink IE
Miss Me Boot Cut Women's Jeans Size 28 L Distressed

Case studies

Netflix delivers billions of hours of content from Amazon S3 to customers around the world. Amazon S3 also serves as the data lake for their big data analytics solution.
FINRA uses Amazon S3 to ingest and store data for over 75 billion market events daily and AWS Lambda functions to format and validate the data against more than 200 rules.
Vtg Ralph Lauren Polo Jeans Womens Size 2 Dark bluee Denim Button Fly Boot W27 31
Airbnb houses backup data and static files on Amazon S3, including over 10 petabytes of user pictures. As a born-in-the-cloud solution, they continually innovate new ways to analyze data stored on Amazon S3.
GE uses Amazon S3 to store and protect a petabyte of critical medical imaging data for its GE Health Cloud service, which connects hundreds of thousands of imaging machines and other medical devices.
Anthropologie 7 for all mankind GINGER Wide Leg Jeans Dark 26 Flare Stretch
NYDJ Not Your Daughter's Jeans Sheri Skinny-Candy Apple Red -Size 12- NWT
Topshop MOTO Sequin Knee Mom Jeans Size 28 30 RRP AWS NEWS BLOG
NWT NYDJ NOT YOUR DAUGHTERS JEANS 'Ariel' Embellished Hem Crop Jeans Clay Sz 16 Amazon S3 Announces the General Availability of S3 Batch Operations for Object Management in Commercial AWS Regions and AWS GovCloud
by Jeff Barr | 30 APR 2019
NWT Vintage America Jeans Womens Size 8R 29 Wonderland Micro boot A13  
Kut From The Kloth Women's Jeans Stretch Flare Leg Jeans Size 2 X 30
AWS Announces the General Availability of the Amazon S3 Glacier Deep Archive Storage Class in all Commercial AWS Regions and AWS GovCloud (US)
27 MAR 2019
Miss Me JE8296EL Easy Boot Mid Embellished Denim Jeans Womens Size 27 Inseam 33 Learn more »
New — Automatic Cost Optimization for Amazon S3 via Intelligent Tiering
by Jeff Barr | 26 NOV 2018

GUESS Women’s Letitia Mid Rise Skinny Jeans in Passionate bluee Wash sz 27

AWS Announces Amazon S3 Object Lock in all AWS Regions
26 NOV 2018

Miss Me jeans sz 27 - 33 1 2” inseam. Skinny jeans, super cute EUC Free Ship
New NWT AIKO Mid Super Skinny Indigo Denim Jeans 26 x 31
Jeans Please Cotone MADE IN ITALY women yellow P78LEG5M07

S3 & S3 Glacier Launch Announcements for Archival Workloads
by Matt Sidley | 26 NOV 2018

PAIGE Grey Floral Peg Skinny Ankle Jeans Pants 25 NWT

Amazon S3 Block Public Access — Another Layer of Protection for Your Accounts and Buckets
16 NOV 2018

FRAME DENIM Designer Sexy Le Skinny Panel Patch Jeans Pants white White, Size 25

Ready to get started?

Vintage America Boho Skinny Jeans Coconut Milk 12
PLUS SIZE unisex stretch CAMOUFLAGE Army Militär Baggy JEANS mit Gummibund
Jeans Kaporal 5 Lola bluee Size 41 à - 64% Product-Page_Standard-Icons_01_Product-Features_SqInk
Check out the product features

Learn more about features for data management, security, access management, analytics, and more.

Learn more 
CHNT Original Colombian Jeans Junior Skinny New Denim Fashion Casual Push Up
Sign up for a free account

Instantly get access to the AWS Free Tier and start experimenting with Amazon S3. 

Sign up 
Women's Slim Skinny Pink Camouflage Pant - S M L XL Start building in the console
Authentic Beautiful Herve Leger Dress, Super Sexy on

Get started building with Amazon S3 in the AWS Console.

Get started 
Fetzig Skinny Jeans 7 8-Länge Destroyed Risse Boy Friend
DIANE GILMAN Size 22W Classic Baby Boot-Cut Jeans WHITE
Paige jimmy jimmy skinny jeans 26
JOE's Jeans Womens Honey Skinny Booty Fit Denim Pants Jeans Louri NWT Size 26
D9058 7 For All Mankind Altered Killer Fade USA Made Skinny Jeans Women's 29x27