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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. They state in the blog that this was quick to build, which is the point.

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Stuff The Internet Says On Scalability For August 17th, 2018

High Scalability

coryodaniel : Rewrote an #AWS APIGateway & #lambda service that was costing us about $16000 / month in #elixir. 12 million requests / hour with sub-second latency, ~300GB of throughput / day. Keep on reading for many more quotes hot off the internet. Its running in 3 nodes that cost us about $150 / month.

Internet 105
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. You can enable the DynamoDB Streams feature for a table with just a few clicks using the AWS Management Console, or you can use the DynamoDB API. DynamoDB Streams.

Database 167
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Expanding the Cloud: Amazon Machine Learning Service, the Amazon Elastic Filesystem and more

All Things Distributed

Details on the AWS Blog. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. When we designed Amazon EFS we decided to build along the AWS principles: Elastic, scalable, highly available, consistent performance, secure, and cost-effective. Details on the AWS Blog.

Lambda 122
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A one size fits all database doesn't fit anyone

All Things Distributed

In fact, this is been proven by our customers as Amazon Aurora remains the fastest growing service in AWS history. We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. The opposite is true. What we experienced at Amazon.com was using a database beyond its intended purpose.

Database 167
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. The client keeps a map of Redis nodes, which is updated in case of failover.