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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

An application example is a session store recording recent actions. We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Conclusion.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57
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MySQL Key Performance Indicators (KPI) With PMM

Percona

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. 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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Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Active Memory Caching. Caching partially stores your data and is not used as permanent storage.

Cache 126
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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. High CPU usage, for example, can indicate that your server is under heavy processing load, possibly due to poorly optimized queries or increased user activity.

Tuning 52
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Synthetic Monitoring vs. RUM

Rigor

For example, in a case study published by Gilt Groupe , Eric Shepherd, who was formerly Gilt’s principal front end engineer, noted that: Both RUM and synthetic monitoring give different views of our performance, and are useful for different things. Benchmark Against Competitors.