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Amazon Simple Storage Service (Amazon S3)
Amazon S3 is storage for the Internet. It is designed to make
web-scale computing easier for developers.
Amazon S3 provides a simple web services interface that can be used to
store and retrieve any amount of data, at any time, from anywhere on
the web. It gives any developer access to the same highly scalable,
reliable, fast, inexpensive data storage infrastructure that Amazon
uses to run its own global network of web sites. The service aims to
maximize benefits of scale and to pass those benefits on to
developers.
Amazon S3 Functionality
Amazon S3 is intentionally built with a minimal feature set.
* Write, read, and delete objects containing from 1 byte to 5
gigabytes of data each. The number of objects you can store is
unlimited.
* Each object is stored and retrieved via a unique,
developer-assigned key.
* Authentication mechanisms are provided to ensure that data is kept
secure from unauthorized access. Objects can be made private or
public, and rights can be granted to specific users.
* Uses standards-based REST and SOAP interfaces designed to work
with any Internet-development toolkit.
* Built to be flexible so that protocol or functional layers can
easily be added. Default download protocol is HTTP. A
BitTorrent(TM) protocol interface is provided to lower costs for
high-scale distribution. Additional interfaces will be added in
the future.
Pricing
* Pay only for what you use. There is no minimum fee, and no
start-up cost.
* $0.15 per GB-Month of storage used.
* $0.20 per GB of data transferred.
(Amazon S3 is sold by Amazon Web Services LLC.)
Resources
* Resource Center
Browse the resource center for code samples, documentation,
release notes, and more information to help you build innovative
applications. Subscribe to RSS feeds or set up e-mail watches to
be alerted of the latest developments for this service.
* Success Stories
* Solutions Catalog
* WSDL
* Developer Forums
* FAQs
Amazon S3 Design Requirements
Amazon S3 is based on the idea that quality Internet-based storage
should be taken for granted. It helps free developers from worrying
about where they are going to store data, whether it will be safe and
secure, the costs associated with server maintenance, or whether they
have enough storage available. The functionality is simple and robust:
Store any amount of data inexpensively and securely, while ensuring
that the data will always be available when you need it. Amazon S3
enables developers to focus on innovating with data, rather than
figuring out how to store it.
Amazon S3 was built to fulfill the following design requirements:
* Scalable: Amazon S3 can scale in terms of storage, request rate,
and users to support an unlimited number of web-scale
applications. It uses scale as an advantage: Adding nodes to the
system increases, not decreases, its availability, speed,
throughput, capacity, and robustness.
* Reliable: Store data durably, with 99.99% availability. There can
be no single points of failure. All failures must be tolerated or
repaired by the system without any downtime.
* Fast: Amazon S3 must be fast enough to support high-performance
applications. Server-side latency must be insignificant relative
to Internet latency. Any performance bottlenecks can be fixed by
simply adding nodes to the system.
* Inexpensive: Amazon S3 is built from inexpensive commodity
hardware components. As a result, frequent node failure is the
norm and must not affect the overall system. It must be
hardware-agnostic, so that savings can be captured as Amazon
continues to drive down infrastructure costs.
* Simple: Building highly scalable, reliable, fast, and inexpensive
storage is difficult. Doing so in a way that makes it easy to use
for any application anywhere is more difficult. Amazon S3 must do
both.
A forcing-function for the design was that a single Amazon S3
distributed system must support the needs of both internal Amazon
applications and external developers of any application. This means
that it must be fast and reliable enough to run Amazon.com's websites,
while flexible enough that any developer can use it for any data
storage need.
Amazon S3 Design Principles
The following principles of distributed system design were used to
meet Amazon S3 requirements:
* Decentralization: Use fully decentralized techniques to remove
scaling bottlenecks and single points of failure.
* Asynchrony: The system makes progress under all circumstances.
* Autonomy: The system is designed such that individual components
can make decisions based on local information.
* Local responsibility: Each individual component is responsible for
achieving its consistency; this is never the burden of its peers.
* Controlled concurrency: Operations are designed such that no or
limited concurrency control is required.
* Failure tolerant: The system considers the failure of components
to be a normal mode of operation, and continues operation with no
or minimal interruption.
* Controlled parallelism: Abstractions used in the system are of
such granularity that parallelism can be used to improve
performance and robustness of recovery or the introduction of new
nodes.
* Decompose into small well-understood building blocks: Do not try
to provide a single service that does everything for everyone, but
instead build small components that can be used as building blocks
for other services.
* Symmetry: Nodes in the system are identical in terms of
functionality, and require no or minimal node-specific
configuration to function.
* Simplicity: The system should be made as simple as possible (but
no simpler).
Intended Usage and Restrictions
* Your use of this service is subject to the Amazon Web Services
Licensing Agreement.
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Customer Spotlight
Altexa
In just two days Altexa integrated Amazon S3 into Altexa Backup and
can now offer its customers a bullet-proof storage product that costs
fifteen times less than competitive solutions on the market.
