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Is Thread Pool Plugin the Right Choice for Your Workload?

Percona

We decided to run a few benchmarks to understand how the thread pool affects long-running transactions. This server is not intended to be a perfectly tuned one but just a baseline to compare the behavior under different concurrency configurations. For this reason, I’ve set up a server with the following specs: r6a.2xlarge

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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

Kubernetes limitations In Linux, by default, performance system events can’t be collected by unprivileged users. The kubectl-flame container has the hostPID option enabled, and this provides visibility of the underlying Kubernetes node process ID namespace to collect system events from running processes on the host.

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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. The user CPU is highlighted in green and the aim for maximum performance is for the top event to be CPU. .

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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 also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

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What programming languages does HammerDB use and why does it matter?

HammerDB

HammerDB is a load testing and benchmarking application for relational databases. However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. Basic Benchmarking Concepts. To benchmark a database we introduce the concept of a Virtual User.

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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. A good example of how tuning is an iterative process.

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Making Windows Slower Part 1: File Access

Randon ASCII

When you own all of the code then this may involve some back of the envelope estimates, competitive benchmarking, or intuition tuned by experience. It shouldn’t take much C# code to make an app that monitors the root of all drives, using buffer sizes that start small and gradually get larger. You know where to find me.