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Site reliability engineering: 5 things you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

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Site reliability engineering: 5 things to you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

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Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

on Myths and Legends of High Performance Computing β€Šβ€”β€Šit’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. The emergence of chiplet technology also allows higher performance and integration without having to design every chip from scratch.

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What is a Site Reliability Engineer (SRE)?

Dotcom-Montior

The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. Performance. He was asked in 2003 to create and manage a team of seven engineers which eventually led him to create the new role/title. appeared first on Dotcom-Monitor Web Performance Blog.

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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

I say go ahead and use local state as a performance boost, so long as you’re fine to have that state wiped out at any moment. In ProtoCache (a component of a widely used Google application), 27% of its latency when using a traditional S+RInK design came from marshalling/un-marshalling. Fetching too much data in a single query (i.e.,

Cache 79
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HammerDB Best Practice for PostgreSQL Performance and Scalability

HammerDB

This post gives a HOWTO guide on system configuration for achieving top levels of performance with the HammerDB PostgreSQL TPC-C test. Firstly for system choice a 2 socket system is optimal for PostgreSQL OLTP performance at the time of writing. Make sure that your CPU is configured for optimal performance. Setting cpu: 0.

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance. hardware limits: 1000 MHz - 3.80