Percona

OCTOBER 12, 2023

MySQL is not written in NodeJS, but we specify –lang node to launch the perf profiler, which is compatible with C/C++. A simple sysbench benchmark on MySQL shows an overhead between six and 10 percent on CPU-bound systems when running perf with the default sampling frequency of 4000 Hz.

Code 112

Code Tuning C++ Benchmarking 112

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Grafana database backend: Prometheus version 2.15.2+d About the environment Grafana: version 10.0.0

Benchmarking 125

Benchmarking Metrics C++ Database 125

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. ” Usually when benchmark results are surprising it is a major hint that something could be misconfigured and that certainly seems the case here, so what could it be?

Benchmarking 63

Benchmarking Performance Hardware C++ 63

HammerDB

DECEMBER 9, 2020

is the refactoring of the stored procedures for some of the TPROC-C workloads. This means that the performance metrics reported in NOPM/TPM could be different from previous releases as well as the ratio between NOPM and TPM for these workloads. may not be directly comparable with the results from previous releases for your database.

C++ 52

C++ Benchmarking Metrics Database 52

HammerDB

NOVEMBER 5, 2018

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. Logging Waits.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

HammerDB

NOVEMBER 30, 2018

However if you have downloaded the source code and are looking to add features or make modifications such as adding new databases you may be wondering once you have the source code where to start. However HammerDB will not be able to connect to a database yet and the librarycheck command included with the CLI gives an indication why.

Architecture 40

Architecture Virtualization Open Source C++ 40

Brendan Gregg

FEBRUARY 9, 2018

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.

Performance 75

Performance Benchmarking Cache Tuning 75

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 107

Database Benchmarking Latency C++ 107

Brendan Gregg

FEBRUARY 8, 2018

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.

Performance 40

Performance Benchmarking Cache Tuning 40

Alex Russell

MAY 9, 2022

Teams I've consulted are too often wrenched between celebration over "the big rewrite" launch and the morning-after realisation that the new stack is tanking business metrics. This blindspot usually extends up to the C-suite. Level 1: Fire Fighting #. Photo by Jay Heike. But first, the fire must be extinguished.

Performance 86

Performance Latency Metrics Engineering 86

Highly Scalable

MARCH 10, 2015

The basic idea of the framework is to use an economic metric such as gross margin as the optimization objective and consider it a function of possible retailer’s actions such as marketing campaigns or assortment adjustments. Moreover, gross margin is not the only performance metric that is important for retailers. The model (2.1)

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

High Scalability

NOVEMBER 25, 2019

Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Java/Python mostly and some small services in Go/C. Which database do you use? How is your database architected?

Architecture 52

Architecture Cache Azure Storage 52