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Farewell EC2-Classic, it’s been swellSeptember 01, 2023 • 849 words Retiring services isn’t something we do at AWS. It’s quite rare. Companies rely on our offerings – their businesses literally live on these services – and it’s something that we take seriously. For example SimpleDB is still around, even though DynamoDB is the “NoSQL” DB of choice for our customers. So, two years ago, when Jeff Bar
Building and operating a pretty big storage system called S3July 27, 2023 • 6277 words Today, I am publishing a guest post from Andy Warfield, VP and distinguished engineer over at S3. I asked him to write this based on the Keynote address he gave at USENIX FAST ‘23 that covers three distinct perspectives on scale that come along with building and operating a storage system the size of S3. In toda
A few words on taking notesJune 29, 2023 • 1143 words As we are about to start the planning meetings for 2024 at AWS, I’ve been thinking a lot about how I take notes. In the same vein, the process of putting together a re: Invent keynote takes months, and it means that I’m meeting with a lot of smart folks doing research and building amazing products. And at every meeting I’m taking notes — lots o
The Distributed Computing ManifestoNovember 16, 2022 • 3941 words Today, I am publishing the Distributed Computing Manifesto, a canonical document from the early days of Amazon that transformed the architecture of Amazon’s ecommerce platform. It highlights the challenges we were facing at the end of the 20th century, and hints at where we were headed. When it comes to the ecommerce side of Amazon,
Tech Predictions for 2022 and BeyondDecember 02, 2021 • 2370 words We have reached an inflection point. After AWS pioneered cloud technology more than 15 years ago, cloud infrastructure has evolved to a place where we are seeing all parts of the cloud reach practically anywhere on the planet—and even into space. The cloud has allowed what was once science fiction to become science fact. Models and
Diving Deep on S3 ConsistencyApril 20, 2021 • 1938 words I recently posted about Amazon S3 and how it’s evolved over the last 15 years since we launched the service in 2006 as “storage for the internet.” We built S3 because we knew customers wanted to store backups, videos, and images for applications like e-commerce web sites. Our top design priorities at the time were security, elasticity, relia
All Things Distributed Werner Vogels' weblog on building scalable and robust distributed systems. Running a business at the scale of Amazon, we often have to solve problems that no other company has faced before. The disadvantage of this is that there is no “how to” guide for us—a lot is unknown. However, the advantage is that when we solve a new problem, it’s an opportunity to reinvent our servic
How Amazon is solving big-data challenges with data lakesJanuary 20, 2020 • 2157 words Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory, and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon's retail business has more than 175 fulfillment centers (FC) worldwide with over 2
Modern applications at AWSAugust 28, 2019 • 2269 words Innovation has always been part of the Amazon DNA, but about 20 years ago, we went through a radical transformation with the goal of making our iterative process—"invent, launch, reinvent, relaunch, start over, rinse, repeat, again and again"—even faster. The changes we made affected both how we built applications and how we organized our comp
Proving security at scale with automated reasoningJune 24, 2019 • 1421 words Customers often ask me how AWS maintains security at scale as we continue to grow so rapidly. They want to make sure that their data is secure in the AWS Cloud, and they want to understand how to better secure themselves as they grow. We have a Shared Responsibility Model at AWS, in which we are responsible for security o
Expanding the AWS Cloud – An AWS Region is coming to South Africa!October 25, 2018 • 1272 words Today, I am excited to announce our plans to open a new AWS Region in South Africa! AWS is committed to South Africa's transformation. The AWS Africa (Cape Town) Region is another milestone of our growth and part of our long-term investment in and commitment to the country. It is our first Region in Afr
A one size fits all database doesn't fit anyoneJune 21, 2018 • 1529 words A common question that I get is why do we offer so many database products? The answer for me is simple: Developers want their applications to be well architected and scale effectively. To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs
Looking back at 10 years of compartmentalization at AWSMarch 26, 2018 • 1182 words At AWS, we don't mark many anniversaries. But every year when March 14th comes around, it's a good reminder that Amazon S3 originally launched on Pi Day, March 14, 2006. The Amazon S3 team still celebrate with homemade pies! March 26, 2008 doesn't have any delicious desserts associated with it, but that's the day wh
Accelerate Machine Learning with Amazon SageMakerNovember 29, 2017 • 989 words Applications based on machine learning (ML) can provide tremendous business value. However, many developers find them difficult to build and deploy. As there are few individuals with this expertise, an easier process presents a significant opportunity for companies who want to accelerate their ML usage. Though the AWS C
A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applicationsOctober 02, 2017 • 1392 words Today marks the 10 year anniversary of Amazon's Dynamo whitepaper, a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have
Amazon DynamoDB Accelerator (DAX): Speed Up DynamoDB Response Times from Milliseconds to Microseconds without Application Rewrite.June 21, 2017 • 1452 words Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX), a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of r
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases Alexandre Verbitski, Anurag Gupta, Debanjan Saha, Murali Brahmadesam, Kamal Gupta, Raman Mittal, Sailesh Krishnamurthy, Sandor Maurice, Tengiz Kharatishvili, Xiaofeng Bao Amazon Web Services ABSTRACT Amazon Aurora is a relational database service for OLTP workloads offered as part of Amazon Web Services (AWS
Amazon Makes it Free for Developers to Build and Host Most Alexa Skills Using AWSMarch 15, 2017 • 519 words Amazon today announced a new program that will make it free for tens of thousands of Alexa developers to build and host most Alexa skills using Amazon Web Services (AWS). Many Alexa skill developers currently take advantage of the AWS Free Tier, which offers one million AWS Lambda requests a
Transforming Development with AWSDecember 01, 2016 • 871 words In my keynote at AWS re:Invent today, I announced 13 new features and services (in addition to the 15 we announced yesterday). My favorite parts of James Bond movies is are where 007 gets to visit Q to pick up and learn about new tools of the trade: super-powered tools with special features which that he can use to complete his mission
Bringing the Magic of Amazon AI and Alexa to Apps on AWS.November 30, 2016 • 2514 words From the early days of Amazon, Machine learning (ML) has played a critical role in the value we bring to our customers. Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. Today, there are thousands of machine learning scientists
MXNet - Deep Learning Framework of Choice at AWSNovember 22, 2016 • 1287 words Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible. At Amazon, machine learning has been key to many of our business processes, from recommendations to fraud detec
Welcoming Adrian Cockcroft to the AWS Team.October 24, 2016 • 336 words I am excited that Adrian Cockcroft will be joining AWS as VP of Cloud Architecture. Adrian has played a crucial role in developing the cloud ecosystem as Cloud Architect at Netflix and later as a Technology Fellow at Battery Ventures. Prior to this, he held positions as Distinguished Engineer at eBay and Sun Microsystems. One
All Things Distributed Werner Vogels' weblog on building scalable and robust distributed systems. Building your applications with only managed components has become very popular, and AWS Lambda plays a crucial role in that. I see a tremendous interest in examples how to build such applications, and articles such as "The Serverless Start-Up - Down With Servers!" about teletext.io are read eagerly a
Serverless Reference Architectures with AWS LambdaMay 10, 2016 • 724 words Building your applications with only managed components has become very popular, and AWS Lambda plays a crucial role in that. I see a tremendous interest in examples how to build such applications, and articles such as “The Serverless Start-Up - Down With Servers!” about teletext.io are read eagerly around the globe. If you
10 Lessons from 10 Years of Amazon Web ServicesMarch 11, 2016 • 1928 words The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. Given that
Under the Hood of Amazon EC2 Container ServiceJuly 20, 2015 • 1677 words In my last post about Amazon EC2 Container Service (Amazon ECS), I discussed the two key components of running modern distributed applications on a cluster: reliable state management and flexible scheduling. Amazon ECS makes building and running containerized applications simple, but how that happens is what makes Amazon ECS
Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggersJuly 14, 2015 • 1994 words In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll, Druva, DeviceScape, and Battlecamp. Many happy developers are using DynamoDB to handle trillions of requests every day. I am exci
Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and moreApril 09, 2015 • 1369 words Today was a big day for the Amazon Web Services teams as a whole range of new services and functionality was delivered to our customers. Here is a brief recap of it: The Amazon Machine Learning service As I wrote last week machine learning is becoming an increasingly important to
Observations on the Importance of Cloud-based AnalyticsMarch 11, 2015 • 2205 words Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. AWS is enabling innovations in areas such as healthcare, automotive, life
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