cdemi

MAY 8, 2016

Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. If used correctly, this pattern can improve performance and help maintain consistency between the cache and the underlying data store. This post is part of a Design Patterns series.

Cache 54

Cache Design C++ Processing 54

CSS Wizardry

SEPTEMBER 6, 2022

I have long held very strong opinions about the Critical CSS pattern. Honestly, in this scenario, my advice is almost always: don’t bother trying to retrofit Critical CSS—just hash-n-cache 1 2 the living daylights out of your existing CSS bundles until you replatform and do it differently next time. As a brief aside….

Media 351

Media Cache Network Website 351

Randon ASCII

JANUARY 12, 2022

That meant I started having regular meetings with the hardware engineers who were working with IBM on the CPU which gave me even more expertise on this CPU, which was critical in helping me discover a design flaw in one of its instructions , and in helping game developers master this finicky beast. To the left of that is one of the CPU cores.

Cache 126

Cache Latency Benchmarking Hardware 126

Alex Russell

MARCH 31, 2022

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 82

Cache Government Traffic Network 82

cdemi

MAY 6, 2016

I have decided to write a series on some common and modern Design Patterns that are useful in today's horizontally scalable (such as cloud-hosted) applications. Cache Aside Pattern. Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern.

Design 40

Design Cache Scalability Architecture 40

The Netflix TechBlog

NOVEMBER 9, 2022

What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.” Aside from obvious CPU differences, we can see that the slow node has almost 3x CPI (Cycles Per Instruction) of the fast node. We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS.

Hardware 363

Hardware Cache Performance Latency 363

The Netflix TechBlog

MAY 19, 2023

To do so Netflix’s design required: An event based mechanism that could ingest information about application autoscaling groups. What was problematic about this design? Aside from being complicated, there were a few specific things that made Netflix uncomfortable. A cleanup process to prune stale relationships from the database.

Cache 249

Cache Google Open Source Systems 249