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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. This can be anything from adjusting monitoring and alerting to making code changes in production.

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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. This can be anything from adjusting monitoring and alerting to making code changes in production.

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

Adrian Cockcroft

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. I also applied Six Sigma to capacity planning and presented this at a conference in 2003.

Tuning 52
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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. Plotting these data points enables us to understand the scalability of the database software being tested on that system. Then we can run an interactive workload for a single Virtual User as follows for MySQL 8.0.25./hammerdbcli

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

On the other hand if testing MySQL or MariaDB for the ability to handle a more complex workload such as the use of stored procedures and in particular if looking to compare scalability with a traditional database then HammerDB is focused more towards testing those enterprise features. monitoring. Copyright (C) 2003-2018 Steve Shaw.

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HammerDB Concepts and Architecture

HammerDB

This article Threads Done Right… With Tcl gives an excellent overview of these capabilities and it should be clear that to build a scalable benchmarking tool this thread performance and scalability is key. Virtual Users. Virtual Users within HammerDB are operating system threads. HammerDB CLI v3.1 HammerDB CLI v3.1

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Vuser 1:1 Active Virtual Users configured Vuser 1:TEST RESULT : System achieved 1844256 NOPM from 4232155 PostgreSQL TPM Vuser 1:FINISHED SUCCESS ALL VIRTUAL USERS COMPLETE. hammerdbcli auto pgtime.tcl HammerDB CLI v4.4 hammerdbcli auto pgtime.tcl HammerDB CLI v4.4 Vuser 1:Test complete, Taking end Transaction Count. 700% Faster.