Remove Architecture Remove Cache Remove Lambda Remove Latency
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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?

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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).

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. Query performance is measured from both warm and cold caches. VLDB’19. The design space.

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Revisiting “Serverless Architectures”

The Symphonia

I started writing “ Serverless Architectures ” in May 2016. I was a little restricted in my thinking the first time around and I’ve come to see FaaS as something not quite stateless, since caching state in a Lambda instance that might stick around for 5 hours is a perfectly reasonable idea.

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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.

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

The Morning Paper

A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Hardware implications. improving by 43% and up to 2.2x.

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How to Avoid Vendor Lock In

IO River

CloudFront makes a simple choice here as it offers direct integration with all these services to let you cache responses across its global edge locations. And on top of that, you're doing computation at the edge using Lambda@Edge, where you've deployed thousands of lines of JavaScript code at the edge.

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