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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

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Back-to-Basics Weekend Reading - Virtualizing Operating Systems.

All Things Distributed

Werner Vogels weblog on building scalable and robust distributed systems. Back-to-Basics Weekend Reading - Virtualizing Operating Systems. This weekends back-to-basics reading is on operating system virtualization. All Things Distributed. By Werner Vogels on 20 July 2012 12:00 PM. Comments (). Malo, France.

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Site reliability engineering: 5 things to you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

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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. To think about it another way, site reliability engineering is where the traditional IT role, or system administration role, and DevOps meet. At that time, the team was made up of software engineers.

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

Adrian Cockcroft

on Myths and Legends of High Performance Computing  — it’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. HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity. Next generation architectures will use CXL3.0

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. library file “libmysqlclient.so.20”

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HammerDB: Using MySQL 5.7 vs 8.0 to understand performance profiles

HammerDB

One of the most important concepts in analysing database performance is that of understanding scalability. When a system ‘scales’ it is able to deliver higher levels of performance proportional to the system resources available to it. In this example, we will compare MySQL 5.7.33 and MySQL 8.0.25 and MySQL 5.7.33.