The Morning Paper

JULY 4, 2019

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. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors).

Latency 77

Latency Engineering Metrics Traffic 77

CSS - Tricks

APRIL 1, 2021

Site performance is potentially the most important metric. The better the performance, the better chance that users stay on a page, read content, make purchases, or just about whatever they need to do. Having a slow site might leave you on page 452 of search results, regardless of any other metric. Lighthouse.

Cache 92

Cache Social Media Media Website 92

Adrian Cockcroft

MARCH 17, 2020

There are many possible failure modes, and each exercises a different aspect of resilience. Consider how controls could degrade over time, including change management, performance audits and how incident reviews could surface anomalies and problems with the system design. Memorial at Hawaiian native burial ground, Kapalua, Maui.

Healthcare 52

Healthcare Government Airlines Systems 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

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. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

The Agile Manager

DECEMBER 17, 2008

Traditional IT projects are mass economy-of-scale exercises: once development begins, armies of developers are unleashed. But of bigger concern is the latency between the time when requirements are captured and the time they're available as working code in an environment. An Agile team is not an exercise in scale.

Latency 40

Latency Code Metrics Testing 40

The Netflix TechBlog

MARCH 6, 2019

during a typical week at Netflix, MezzFS performs ~100 million mounts for dozens of different use cases and streams about ~25 petabytes of data. MezzFS collects metrics on data throughput, download efficiency, resource usage, etc. We use this to debug errors and performance issues in specific mounts. How much faster is this?

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Media Storage Processing Cache 214