Remove server-timing-time-to-first-byte
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Dynatrace memory analysis helps Product Architects identify unknown unknowns

Dynatrace

While memory allocation analysis can show wasteful or inefficient code, it can also reveal different problems, one of which we’ll examine in this blog post. While the amount of bytes allocated for the Java API is typically 1.5X The typical ratio is about 1.5X higher, but now it’s 3X higher—why? What could be causing this?

Java 217
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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. 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.

Metrics 130
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Revamped HTTP monitor detail pages to effortlessly monitor API endpoints and mobile back-end services

Dynatrace

Explore further with detailed timings for HTTP requests. In the next sections of this blog post, we’ll walk through some of the highlights of the new page design. So when an API breaks, your business is impacted. All insights at your fingertips with the revamped HTTP monitor details page.

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PostgreSQL Checkpoints, Buffers, and WAL Usage with Percona Monitoring and Management

Percona

In this blog post, we will discuss how to extend Percona Monitoring and Management (PMM) to get PostgreSQL metrics on checkpointing activity, internal buffers, and WAL usage. With this data, we’ll be able to better understand and tune our Postgres servers. You can search the blog for more information on this if needed.

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. Steps Provisioning The first step is to provision the four nodes with both PostgreSQL and Citus.

Database 107
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

80% of end-user response time is spent on the front end. 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. That performance golden rule still holds true today. I mean, why wouldn't we?

Servers 58
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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Visually complete – the time it takes for a webpage to appear fully on screen – rose from 2.68 Action duration – the time it takes for the page to fully load – increased from 4.0 In some of these cases, visually complete times increased by up to 1,000% – averaging 25 seconds versus the usual 1.5 Dynatrace news.

Website 222