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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. Cache line is a concept similar to memory page?—? Thread 0’s cache in this example.

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OneAgent release notes version 1.207

Dynatrace

Resolved issue with deep monitoring of Go process because of incompatible ABI (added support for monitoring Go applications containing C code that uses TLS). Resolved IIS crash on RUM activity interactions (user caching is now disabled if UEM is enabled). ONE-49694). ONE-45777). APM-269331). APM-265940). ONE-50749). Plugin module.

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Percona Toolkit – A Quick Introduction to Summary

Percona

virtual = 2.2G Caches | 12.4G virtual = 2.2G Caches | 12.4G 2004l# Percona Toolkit System Summary Report ###################### Date | 2023-09-25 14:43:34 UTC (local TZ: CDT -0500) Hostname | testbox Uptime | 44 min, 1 user, load average: 0.47, 0.67, 0.57 Platform | Linux Release | Ubuntu 22.04.3 Shared | 475.0M

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HammerDB v4.10 New Features: Purge and Write back for MariaDB TPROC-C

HammerDB

Many of the HammerDB TPROC-C workloads have included features to prevent the database doing maintenance tasks for the previous run whilst another run is taking place. This is particularly important when running automated workloads back-back to generate a performance profile for a progressively increasing number of virtual users.

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HammerDB for Managers

HammerDB

An important concept was to simulate database users called Virtual Users in parallel (rather than concurrently) to accurately simulate a real database workload with multiple users running from separate systems. In addition to the TPC-C specification for OLTP workloads, the TPC has also developed the TPC-E specification.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

So instead we are going to take a cut down version of the HammerDB TPROC-C driver script and do the same in Python and use the HammerDB infrastructure to measure performance. (We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test). usr/local/bin/tclsh8.6

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How Many Warehouses for the HammerDB TPC-C Test?

HammerDB

The official TPC-C test has a fixed number of users per warehouse and uses keying and thinking time so that the workload generated by each user is not intensive. By default each virtual user has the concept of a home warehouses where approximately 75% of its workload will take place.

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