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Running A Page Speed Test: Monitoring vs. Measuring

Smashing Magazine

Running A Page Speed Test: Monitoring vs. Measuring Running A Page Speed Test: Monitoring vs. Measuring Geoff Graham 2023-08-10T08:00:00+00:00 2023-08-10T12:35:05+00:00 This article is sponsored by DebugBear There is no shortage of ways to measure the speed of a webpage. Lighthouse results. One type is called lab data.

Speed 81
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The Speed of Time

Brendan Gregg

The broken Java stacks turned out to be beneficial: They helped group together the os::javaTimeMillis() calls which otherwise might have have been scattered on top of different Java code paths, appearing as thin stacks everywhere. Without NMI, some kernel code paths (interrupts disabled) can't be profiled. But I'm not completely sure.

Speed 126
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Connection One thing we haven’t looked at is the impact of network speeds on these outcomes. Compile: the parsed code is compiled into optimised bytecode. That’s almost 22× more!

Cache 291
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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Speed Up of the WAL Archiving in PostgreSQL 15

Percona

The following comments in the PostgreSQL code can tell the whole story. /* * pgarch_readyXlog * * Return name of the oldest xlog file that has not yet been archived. * But the WAL archiving should happen in the right order and only for the remaining WAL segment files. Thanks to Community!

Speed 107
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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

There were languages I briefly read about, including other performance comparisons on the internet. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. These include Python, PHP, Perl, and Ruby. Ahem, Slow!

Java 207
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Answer-driven release validation with Dynatrace SaaS Cloud Automation

Dynatrace

Establishing clear, consistent, and effective quality gates that are automatically validated at each phase of the delivery pipeline is essential for improving software quality and speeding up delivery. Service-level indicators (SLIs) are checked against your SLOs early in the lifecycle, including comparison against previous builds.

Cloud 243