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Real Time Oracle Performance Monitoring for Benchmarks

HammerDB

An essential part of database performance testing is viewing the statistics generated by the database during the test and in 2009 HammerDB introduced automatic AWR snapshot generation for Oracle for the TPC-C test. However what if you want to review performance data in real time as the test is running?

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

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. 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.

Tuning 52
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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Plotting the percent performance loss vs syscall rate per CPU, for my microbenchmark: Applications that have high syscall rates include proxies, databases, and others that do lots of tiny I/O.

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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. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . order by c. monitoring.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Testing And Monitoring. Getting Ready: Planning And Metrics. Assets Optimizations.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

If you develop something then you own the lifecycle of that product, which means you would work with QA, DevOps to ensure it’s tested/deployed. When it goes to production you would monitor it using the various internal tools like New Relic/Grafana, Kibana and if there is a regression you would fix it. How you analyze performance?