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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). What is Lambda?

Lambda 223
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Cloudburst: stateful functions-as-a-service

The Morning Paper

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98
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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it.

Database 167
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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. ” Even re-reading that today, the letter of the law there is surprisingly strict to me: you can use the local memory space or filesystem as a brief single transaction cache, but no more.

Cache 79
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Hardware implications.

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Formal foundations of serverless computing

The Morning Paper

For example, to reduce latency, serverless platforms try to reuse the same function instance to process multiple requests. Serverless functions are stateless , but can opportunistically reuse cached state across invocations to speed up start times. Lambda operational semantics. Don’t do that!