Remove Best Practices Remove Cache Remove Metrics Remove Testing
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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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Best practices for accelerating Dynatrace APIs within large monitoring environments

Dynatrace

This blog post introduces the new REST API improvements and some best practices for streamlining API requests and decreasing load on the API by reducing the number of requests required for reporting and reducing the network bandwidth required for implementing common API use cases.

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Performance Game Changer: Browser Back/Forward Cache

Smashing Magazine

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

Cache 93
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NEW! Lighthouse 10, Core Web Vitals updates, and Interaction to Next Paint

Speed Curve

Here's how the update to Lighthouse 10 may affect your metrics. Metrics and scoring weights include the deprecation of Time to Interactive (TTI) and the increase in weight for Cumulative Layout Shift (CLS). When a BF cache navigation is prevented, Lighthouse lists the causes for the failure. What changed in Lighthouse 10?

Cache 73
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 238
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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. The VictoriaMetrics team has also published some best practices , which can also be referred to while planning for resources for setting up PMM2. We have tested PMM version 2.33.0 The CPU usage averaged 24% utilization, as you can see in the above picture.

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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.