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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

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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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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.

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How to maximize serverless benefits and overcome its challenges

Dynatrace

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. Optimizes resources. No infrastructure to maintain.

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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.

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In-Stream Big Data Processing

Highly Scalable

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. High performance and mobility. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size. Pipelining.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Oh, and there’s a scheduler too of course to keep all the plates spinning.

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