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All Things Distributed

Werner Vogels' weblog on building scalable and robust distributed systems.

Expanding the Cloud: Amazon CloudFrontNovember 18

Today marks the launch of Amazon CloudFront, the new Amazon Web Service for content delivery. It integrates seamlessly with Amazon S3 to provide low-latency distribution of content with high data transfer speeds through a world-wide network of edge locations. It requires no upfront commitments and is a pay-as-you-go service in the same style as the other Amazon Web Services.

Amazon CloudFront has been designed to be fast; the service will cache copies of the content in edge locations close to the end-user's location, significantly lowering the access latency to the content. High sustainable data transfer rates can be achieved with the service especially when distributing larger objects.

Amazon CloudFront will be useful for many different application scenarios such as giving your customers low-latency access to popular objects and protecting your site from popularity surges; other popular examples are low-cost delivery of rich media and sustainable fast transfer rates for software distributions.

See als the posting on the AWS Developer weblog.

Seamless integration

A content delivery service that would extend

Using the Cloud to build highly-efficient systemsOctober 23

These are times where many companies are focusing on the basics of their IT operations and are asking themselves how they can operate more efficiently to make sure that every dollar is spent wisely. This is not the first time that we have gone through this cycle, but this time there are tools available to CIOs and CTOs that help them to manage their IT budgets very differently. By using infrastructure as a service, basic IT costs are moved from a capital expense to a variable cost, building clearer relationships between expenditures and revenue generating activities. CFOs are especially excited about the premise of this shift.

In recent weeks in my discussions with many of our Amazon Web Services customers I have seen a heightened interest in moving functionality into the AWS cloud to get a better grasp on controlling cost. And this is across the board; from young businesses to Fortune 500 enterprises, from research labs to television networks, all are concerned about reducing upfront cost associated with the new ventures and reducing waste in existing operations. Most of them point to 3 properties of the Amazon Web Services model that helps them become more efficient:

1. The pay-as-you-go model. There are significant advantages to this model for efficiency as one only pays for those resources one has actually consumed. If the application scales along the right revenue generating dimensions these costs will be in line with the revenue being gene

Expanding the Cloud: Microsoft Windows Server on Amazon EC2October 1

The backend servers that power the world of Internet Services have become increasingly diverse. With today's announcement that Microsoft Windows Server is available on Amazon EC2 we can now run the majority of popular software systems in the cloud. Windows Server ranked very high on the list of requests by customers so we are happy that we will be able to provide this.

One particular area that customers have been asking for Amazon EC2 with Windows Server was for Windows Media transcoding and streaming. There is a range of excellent codecs available for Windows Media and there is a large amount of legacy content in those formats. In past weeks I met with a number of folks from the entertainment industry and often their first question was: when can we run on windows?

There are many different reasons why customers have requested Windows Server; for example many customers want to run ASP.NET websites using Internet Information Server and use Microsoft SQL Server as their database. Amazon EC2 running Windows Server enables this scenario for building scalable websites. In addition, several customers would like to maintain a global sing

Expanding the CloudSeptember 18

For many the "Cloud" in Cloud Computing signifies the notion of location independence; that somewhere in the internet services are provided and that to access them you do not need any specific knowledge of where they are located. Many applications have already been built using cloud services and they indeed achieve this location transparency; their customers do not have to worry about where and how the application is being served.

However for developers to do their job properly the cloud cannot be fully transparent. As much as we would like to make it easy and simple for everyone, building high-performance and highly reliable applications in the cloud requires that the developers have more control. For example a reality is that failures can happen; servers can crash and networks can become disconnected. Even if these are only temporary glitches and are transient errors, the developer of applications in the cloud really wants to make sure his or her application can continue to serve customers even in the face of these rare glitches. A similar issue is that of network latency; as much as we would like to see the cloud to be transparent, the transport of network packets is still limited to the speed of light (at best) and customers of cloud applications may experience a different performance depending on where they are located in relation to where the applications are running. We have seen that for many applications that works just fine, but there are developers w

Amazon EBS - Elastic Block Store has launchedAugust 21

Today marks the launch of Amazon EBS (Elastic Block Store), the long awaited persistent storage service for EC2. Details can be found on the EC2 detail page, the press release and Jeff Barr's posting over on the AWS evangelists blog. Also the folks at Rightscale have two detailed postings: why Amazon EBS matters and Amazon EBS explained.

With the launch of the Elastic Block Store we complete an important milestone in offering a complete suite of storage solutions as part of the Amazon Infrastructure Services. Back in the days when we made the architectural decision to virtualize the internal Amazon infrastructure one of the first steps we took was a deep analysis of the way that storage was used by the internal Amazon services. We had to make sure that the infrastructure storage solutions we were going to develop would be highly effective for developers by addressing the most common patterns first. That analysis led us to three top patterns:

1. Key-Value storage. The majority of the Amazon storage patterns were based on primary key access leading to single value or