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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

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. About the environment Grafana: version 10.0.0 Grafana database backend: Prometheus version 2.15.2+d

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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HammerDB for Managers

HammerDB

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

xlarge 4vCPU 8GB-RAM Storage: EBS volume (root) 80GB gp2 (IOPS 240/3000) As well, high availability will be integrated, guaranteeing cluster viability in the case that one worker node goes down. 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 102
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How to Assess MySQL Performance

HammerDB

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. 0.42 %sys 9.52

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MySQL Key Performance Indicators (KPI) With PMM

Percona

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100