Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.

Traffic 92

Traffic Cache Monitoring Database 92

Speed Curve

MARCH 5, 2023

"I made my pages faster, but my business and user engagement metrics didn't change. The performance poverty line is the plateau at which changes to your website’s rendering metrics (such as Start Render and Largest Contentful Paint) cease to matter because you’ve bottomed out in terms of business and user engagement metrics.

Performance 119

Performance C++ Metrics Ecommerce 119

Dynatrace

MAY 28, 2020

Now, while we’ve been pushing these concepts in Keptn we haven’t explained well enough how to level-up your existing load testing scripts for better SLI monitoring and how to integrate them with Dynatrace in order to reap all the benefits of SLI-based Performance Analysis. A key concept in monitoring is proper tagging.

Engineering 189

Engineering Performance Metrics Best Practices 189

Speed Curve

MARCH 5, 2023

"I made my pages faster, but my business and user engagement metrics didn't change. The performance plateau is the point at which changes to your website’s rendering metrics (such as Start Render and Largest Contentful Paint) cease to matter because you’ve bottomed out in terms of business and user engagement metrics.

Performance 52

Performance C++ Metrics Ecommerce 52

The Morning Paper

JULY 4, 2019

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. Moreover, just like an A/B test, we’ll be collecting metrics while the experiment is underway and performing statistical analysis at the end to interpret the results. Defining and running experiments.

Latency 77

Latency Engineering Metrics Traffic 77

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 53

Latency Engineering Systems Hardware 53

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 148

Open Source Metrics Engineering Processing 148

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 101

Open Source Metrics Engineering Processing 101

The Netflix TechBlog

OCTOBER 21, 2019

Where other systems may take over ten minutes to process metrics accurately, Mantis reduces that from tens of minutes down to seconds, effectively reducing our Mean-Time-To-Detect. Mantis Makes It Easy to Answer New Questions The traditional way of working with metrics and logs alone is not sufficient for large-scale and growing systems.

Open Source 100

Open Source Metrics Engineering Processing 100