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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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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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MySQL Key Performance Indicators (KPI) With PMM

Percona

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. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

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How to Optimize Websites for Ad Publishers

Dotcom-Montior

As an ad publisher, your revenue depends on two main factors: traffic to your site and ad optimization. A lot of the focus goes into the practice and processes of driving traffic to your site from an SEO perspective, but what if when visitors get to your site, they have a less than ideal experience? Dotcom-Monitor Website Monitoring.

Website 92
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates. Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times.

Tuning 52
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

To show that I can criticize my own work as well, here I show that sustained memory bandwidth (using an approximation to the STREAM Benchmark ) is also inadequate as a single figure of metric. (It Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time.

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The Performance Inequality Gap, 2021

Alex Russell

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Today, either method returns a similar answer.