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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. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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Average Page Load Times for 2020 – Are you faster?

MachMetrics

Obviously, the key phrase there is ‘fully loaded’ A lot of that time is behind the scenes scripts, tracking software, advertisements, etc. Google’s best practice is to have a speed index under 3 seconds. Google’s best practice is to be below 0.5 seconds on desktop and 11.4 seconds on mobile.

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Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

The VictoriaMetrics team has also published some best practices , which can also be referred to while planning for resources for setting up PMM2. VictoriaMetrics maintains an in-memory cache for mapping active time series into internal series IDs. We have tested PMM version 2.33.0

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

Percona

Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times. To maximize indexing benefits, be sure to follow best practices. Another highly beneficial caching method is key-value caching.

Tuning 52
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Understanding MySQL Triggers: Exploring How Triggers Impact MySQL Memory Allocation

Percona

By understanding these challenges and following best practices, you can make the most of triggers while minimizing potential drawbacks. Testing and Benchmarking : Thoroughly test triggers in a staging environment to evaluate their impact on performance. Carefully design transactions to avoid unnecessary locking and contention.

Cache 62
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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.