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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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The evolution of single-core bandwidth in multicore processors

John McCalpin

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Details in the next blog entry.)

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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. Caching the base page/HTML is common, and it should have a positive impact on backend times. But what happens when it doesn't?

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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The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 138
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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.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers.