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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload.

Tuning 52
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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

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How to Assess MySQL Performance

HammerDB

In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. 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.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

This blog post lists the important database metrics to monitor. Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory.

Metrics 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. Storage: don’t break the bank! —?which is difficult when troubleshooting distributed systems.

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Why MySQL Could Be Slow With Large Tables

Percona

16 years ago, our founder Peter Zaitsev covered this topic and some of the points described there are still valid, and we will cover more on this blog. In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. It can help us to save costs on storage and backup times.

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InnoDB Performance Optimization Basics

Percona

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7