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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130
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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Connection pooling: Minimizing connection overhead and improving response times for frequently accessed data by implementing mechanisms for connection pooling and caching strategies. The PostgreSQL buffer is called shared_buffer, which is the most effective tunable parameter for most operating systems.

Tuning 52
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Improving The Performance Of An Online Store (Case Study)

Smashing Magazine

Today, the website is much faster and ranks highly in various showcases and benchmarks. And while you can usually cache the full page of an article, the same is not true of many shop pages and elements. This way, the file can be cached on the server and in the browser, and no superfluous SVGs will need to be interpreted.

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SQL Server I/O Basics Chapter #1

SQL Server According to Bob

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40
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SQL Server I/O Basics Chapter #2

SQL Server According to Bob

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40
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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We employ large scale data filtering algorithms to let large clusters of clients synchronize with Cloud File System. Disk based caching. Hybrid Sync.