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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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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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Performance audit: Lego.com

Speed Curve

We track LEGO.com, along with a handful of other leading ecommerce sites, in our public-facing Retail Benchmarks dashboard , which I encourage you to check out. Are you compressing and caching the right things? It shows how key metrics align with the rendering timeline (the filmstrip view at the top of the chart).

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

Percona

Query plan analysis can also provide valuable insights. Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates. By analyzing disk I/O metrics, you can optimize queries to reduce disk reads or upgrade to faster storage solutions.

Tuning 52
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Average Page Load Times for 2020 – Are you faster?

MachMetrics

Similar to our article Average Page Load Times for 2018 , we’ll go over the averages for metrics and help you determine if your site is faster or slower than average. As you know, there are many metrics that determine a website’s page speed, and we can’t look at just one of them to determine how performant our site is.

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

John McCalpin

With a staff of slightly over 175 full-time employees (less than 1/2 in consulting roles), we must therefore focus on highly-leveraged performance analysis projects, rather than labor-intensive ones. 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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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

This overhead can be reduced by A) pcid, fully available in Linux 4.14, and B) Huge pages. - **Cache access pattern**: the overheads are exacerbated by certain access patterns that switch from caching well to caching a little less well. This can turn a 1% overhead (syscall cycles alone) into a 7% overhead. In more detail: ## 1.