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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Instead, they can ensure that services comport with the pre-established benchmarks. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace.

Software 259
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB).

Servers 57
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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++ 40