Remove Cache Remove Metrics Remove Network Remove Servers
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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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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough. In addition to tracing, observability also defines two other key concepts, metrics and logs. What is OpenTelemetry?

Metrics 180
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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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Measure What You Impact, Not What You Influence

CSS Wizardry

I can reload the exact same page under the exact same network conditions over and over, and I can guarantee I will not get the exact same, say, DOMContentLoaded each time. 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? Compressing them over the network: Which compression algorithm, if any, will we use? 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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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. Client-side caching minimizes potential for metrics loss. As an initial step toward preventing data loss we have developed the following: Offline metric collection for short outages.

Metrics 52
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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.