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

Adrian Cockcroft

In 1991 I wrote a white paper on performance that was widely read, and in 1993 (with help from Brian Wong) that got me a job in the USA, working alongside Brian for Mike Briggs in technical product marketing. Paul Reithmuller was yet another imported Australian engineer who did amazing work.

Tuning 52
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Have You Tested Your App Performance & Capacity Recently?

Apica

The Apica LoadTest solution uses innovative technologies like monitoring nodes and load clusters to reliably deliver and sustain a large-scale load of virtual users (VUs) to Hollywood for different, realistic user scenarios all at the same time. Load and stress-testing benchmark goals for the backend technological components.

Testing 40
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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

In this post we will review the most important Linux settings to adjust for performance tuning and optimization of a MySQL database server. We’ll note how some of the Linux parameter settings used OS tuning may vary according to different system types: physical, virtual or cloud. A Look at MyRocks Performance.

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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

PgBouncer provides a virtual database that reports various useful statistics. Performance Testing. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Testing Conditions.

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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

InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench.