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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?

Lambda 241
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Percentiles don’t work: Analyzing the distribution of response times for web services

Adrian Cockcroft

This applies to other areas like software project time estimates as well, there’s a tendency to focus on the best case but it always takes longer. > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5, > system.time(wait1 <- normalmixEM(waiting, mu=c(50,80), lambda=.5,

Lambda 98
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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. For query executors that can be frequently started and stopped the authors explore performance with cold and warm caches (where applicable), and also the horizontal and vertical scaling performance.

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In-Stream Big Data Processing

Highly Scalable

The whole point of this section is that all the algorithms above can be naturally implemented using a message passing architectural style i.e. the query execution engine can be considered as a distributed network of nodes connected by the messaging queues. Marz, “Big Data Lambda Architecture”. Pipelining. Jacobsen and R.

Big Data 154
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., 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. ASPLOS’19.

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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. At the core, a traditional CMS is a monolith.

Systems 63
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Accelerating Data: Faster and More Scalable ElastiCache for Redis

All Things Distributed

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. This allows for faster failover times while minimizing latency. Redis and Fast Data.