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The Easiest Way to Compute in the Cloud – AWS Lambda

All Things Distributed

When AWS launched, it changed how developers thought about IT services: What used to take weeks or months of purchasing and provisioning turned into minutes with Amazon EC2. Capital-intensive storage solutions became as simple as PUTting and GETting objects in Amazon S3. Our answer is a new compute service called AWS Lambda.

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Unlocking the Value of Device Data with AWS Greengrass.

All Things Distributed

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. Some applications – medical equipment, industrial machinery, and building automation are just a few – can't rely exclusively on the cloud for control, and require some form of local storage and execution. Law of the Land.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Choosing a cloud DBMS: architectures and tradeoffs Tan et al.,

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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.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

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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. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The opposite is true.

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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.