Remove Cache Remove Metrics Remove Servers Remove Speed
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

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

Speed Curve

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB).

Servers 57
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

Any significant reduction in allocations will inevitably speed up your code. To see why, navigate to the Suspension chart on the JVM metrics tab. . By reducing the number of allocated objects, you can both speed up your code and reduce object churn and garbage collection events. Speed up application code itself.

Speed 165
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Measure What You Impact, Not What You Influence

CSS Wizardry

As I see it, there are two main issues when it comes to measuring performance changes (note, not improvements , but changes) in the lab: Site-speed is nondeterministic 1. As noted above, it’s not actually possible to improve certain metrics in their own right. There are myriad reasons for this that I won’t cover here. duration ).

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Concatenating our files on the server: Are we going to send many smaller files, or are we going to send one monolithic file? Caching them at the other end: How long should we cache files on a user’s device? Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one.

Cache 291
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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

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PMM V2.33: Offline Metric Collection, Guided Alerting Tour, Security Fixes, and More!

Percona

include: Offline metric collection during PMM server outages or loss of PMM client-server network connectivity. A guided tour of Alerting, which helps new users get up to speed quickly and start using the alerting features of PMM. Client-side caching minimizes potential for metrics loss. Stages of PMM HA.

Metrics 52