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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. <code> 127.0.0.1:6379> <code> 127.0.0.1:6379>

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MySQL Capacity Planning

Percona

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 89
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Front-End Performance Checklist 2021

Smashing Magazine

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? Performance Budgets, Pragmatically shows you a strategy to achieve that.

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Time protection: the missing OS abstraction

The Morning Paper

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. Microarchitectural channels. There are also stateless interconnects including buses and on-chip networks. Threat scenarios. IPC) input and output channels.

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Front-End Performance Checklist 2020 [PDF, Apple Pages, MS Word]

Smashing Magazine

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

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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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RUM vs APM

KeyCDN

Developers use APM as part of a broader strategy to ensure certain goals are met while RUM is a more narrow tool to support that strategy. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible.