ĪWS launches Virtual Private Cloud (VPC), allowing customers launch EC2 instances into their own logically isolated networks, with the ability to define subnets, routing and access control lists. This is a predecessor of the Snowball service that they would launch in October 2015. ĪWS announces an Import/Export service, whereby people can send their storage device to AWS and AWS will upload the data to S3. It uses a hosted Hadoop framework running on the web-scale infrastructure of EC2 and Amazon S3.Īmazon introduces Elastic Load Balancing (ELB) (which makes it easy for users to distribute web traffic across Amazon EC2 instances), Auto Scaling (which allows users to scale policies driven by metrics collected by Amazon CloudWatch), and Amazon CloudWatch (for tracking per-instance performance metrics including CPU load). Īmazon launches Amazon Elastic MapReduce (EMR), which allows businesses, researchers, data analysts, and developers to easily and cheaply process vast amounts of data. This comes a year after the setting up of S3 in Europe. Īmazon launches EC2 in Europe (specifically, the region eu-west-1 in Ireland), making it easier for European customers to run their instances locally and benefit from higher bandwidth and lower latency. ĪWS launches Amazon CloudFront, a content delivery network (CDN). Īmazon EC2 exits beta and begins offering a service level agreement. This is part of the Google Cloud.Īmazon announces the launch of Amazon Elastic Block Store (EBS), which provides raw block-level storage that can be attached to Amazon EC2 instances. Google launches Google App Engine, a platform as a service (PaaS) cloud computing platform for developing and hosting web applications in Google-managed data centers. Īmazon announces Elastic IPs, IP addresses that can be decoupled from physical EC2 machines, as well as availability zones, clusters of one or more data centers in a region such that different availability zones are isolated from each other in terms of power and water sources. It uses a hosted Hadoop framework running on the web-scale infrastructure of EC2 and Amazon S3. Īmazon launches Amazon SimpleDB, which allows businesses, researchers, data analysts, and developers to easily and cheaply process vast amounts of data. Īmazon launches S3 in Europe, reducing latency and bandwidth for European users and helping them comply with privacy requirements. Īmazon EC2 is now available in unlimited public beta, so that anybody can sign up and start using it. The EC2 region is us-east-1, also known as compute-1, and is located in North Virginia. The service initially includes machines (instances) available for 10 cents an hour, and is available only to existing AWS customers rather than the general public. Īmazon launches Amazon Elastic Compute Cloud (EC2), which forms a central part of 's cloud-computing platform, Amazon Web Services (AWS), by allowing users to rent virtual computers on which to run their own computer applications. SQS had been around (but not available in production) since 2004. Īmazon Simple Queue Service (SQS) is released in production. Īmazon Web Services launches by releasing the Simple Storage Service (S3).
Based on internal discussions, they decide to launch storage, compute, and database offerings so that developers can use all of them together. At the same time, Amazon begins planning for a public launch of AWS.
Ī private precursor to AWS launches, with a small number of customers. At the time, the name Amazon Web Services refers to a collection of APIs and tools to access the catalog, rather than the Infrastructure as a Service it would eventually become. The Amazon Web Services blog is launched, with a first blog post by Jeff Barr. Although the team works from South Africa, the servers are hosted in the United States. While there, he works on a pilot along with help from Chris Brown and Willem van Biljon. Pinkham leaves for South Africa to set up a satellite development office. Jeff Bezos approves the idea of experimenting with Amazon infrastructure. īenjamin Black and Chris Pinkham write a short paper describing a vision for Amazon infrastructure that, in Black's words, "was completely standardized, completely automated, and relied extensively on web services for things like storage."
All these changes help pave the way for AWS. Around the same time, the company also realizes the need to build infrastructure-as-a-service internally, to improve the speed of development and not have it bottlenecked by infrastructure availability.
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In the process, Amazon's team realizes that they need to decouple their code better, with cleaner interfaces and access APIs. , the parent company of the as yet nonexistent AWS, begins work on, an e-commerce platform intended for use by other large retailers such as Target Corporation.
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