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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Virtual Memory. File System. schedtool –B PID. Huge Pages.

Tuning 61
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Virtual Memory. File System. schedtool –B PID. Huge Pages.

Tuning 52
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How to Assess MySQL Performance

HammerDB

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R. We had specializations in hardware, operating systems, databases, graphics, etc. He hasn’t changed. He had it up and running on Wednesday.

Tuning 52
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The top 5 reasons to run your own database benchmarks

HammerDB

“ Scalability” is a product of both the benchmarking application itself (See the post on HammerDB Architecture to see how it scales implementing multiple virtual users as threads) as well as the benchmarking workload (The TPC benchmarks that HammerDB uses have been designed specifically for this purpose and proven over decades to scale).