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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. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. What is Lambda? What is Lambda SnapStart?

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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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How to Reduce Your CDN Infrastructure Expenses

IO River

A low-cost CDN may not always be as reliable and high-performing as a high-cost one. Therefore, you need to make sure you have the right balance between costs and performance & reliability according to your business needs.Here are some questions to ask yourself before choosing a CDN:How important is the price to you?

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How to Reduce Your CDN Infrastructure Expenses

IO River

A low-cost CDN may not always be as reliable and high-performing as a high-cost one. Therefore, you need to make sure you have the right balance between costs and performance & reliability according to your business needs.Here are some questions to ask yourself before choosing a CDN:How important is the price to you?

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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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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Query performance. Query performance is measured from both warm and cold caches.