Remove Cache Remove Code 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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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

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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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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.

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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. This means that if you wish to switch CDN, you’d have to rewrite a vast amount of code to support a new API.‍‍Sign

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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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A one size fits all database doesn't fit anyone

All Things Distributed

Developers rely on the functionality of the relational database (not the application code) to enforce the schema and preserve the referential integrity of the data within the database. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

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