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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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Understanding MySQL Triggers: Exploring How Triggers Impact MySQL Memory Allocation

Percona

Here, we first cover the basics of MySQL Triggers, and then we take a deeper dive, exploring their impact on memory usage and providing strategies to optimize MySQL server performance. Testing and Benchmarking : Thoroughly test triggers in a staging environment to evaluate their impact on performance. What is a Trigger in MySQL?

Cache 60
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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

An unoptimized indexing strategy can impede data insertion and retrieval operations. One effective strategy is query rewriting, where you restructure your SQL queries to be more efficient. Indexing Strategies Indexing plays a pivotal role in database performance, and its impact on query performance cannot be overstated.

Tuning 52
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Fixing a slow site iteratively

CSS - Tricks

Google’s industry benchmarks from 2018 also provide a striking breakdown of how each second of loading affects bounce rates. In that spirit, what we’re looking at in this article is focused more on the incremental wins and less on providing an exhaustive list or checklist of performance strategies. Again, every millisecond counts.

Cache 92
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Front-End Performance Checklist 2021

Smashing Magazine

Build Optimizations JavaScript modules, module/nomodule pattern, tree-shaking, code-splitting, scope-hoisting, Webpack, differential serving, web worker, WebAssembly, JavaScript bundles, React, SPA, partial hydration, import on interaction, 3rd-parties, cache. Performance Budgets, Pragmatically shows you a strategy to achieve that.

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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.

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Improving The Performance Of An Online Store (Case Study)

Smashing Magazine

The project consisted of upgrading the shop software to our own open-source system and redoing the shop’s front end from scratch. 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.