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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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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57
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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. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench.

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Impact of Querying Table Information From information_schema

Percona

Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark. having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). Results for Percona Server for MySQL 8.0

Cache 98
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20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

In this blog post, we will describe the improvements to Percona XtraBackup 8.0.33-28 After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Initializing a DD engine and the cache adds complexity and other server dependencies. ibd > t1.sdi

Cache 83
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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. In this blog post, we will delve into the world of PostgreSQL performance tuning and establish some basic guidelines for setting database parameters to enhance the performance of your PostgreSQL database, based on the workload.

Tuning 52
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MySQL Key Performance Indicators (KPI) With PMM

Percona

In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM. 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. error_log: Specifies the location of the MySQL error log.