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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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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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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. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. Architectural complexity. Optimizes resources.

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Cloudburst: stateful functions-as-a-service

The Morning Paper

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

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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. Each of these findings poses opportunities for future work to explore specific architectural tradeoffs further.

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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! The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases. Operating system and network implications.