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Performance Game Changer: Browser Back/Forward Cache

Smashing Magazine

Performance Game Changer: Browser Back/Forward Cache. Performance Game Changer: Browser Back/Forward Cache. With that caveat out of the way, let’s get to the guts of the article: What is the Back/Forward Cache and why does it matter so much? Didn’t The HTTP Cache Do All That Anyway? Barry Pollard.

Cache 91
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WebP Caching has Landed!

KeyCDN

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? you use image processing, you can of course use all other commands available such as resizing or cropping.When the Image Processing feature is enabled, the Origin Shield is set to enabled and the Ignore Query String is set to disabled.

Cache 81
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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Of course, you need to balance these opportunities with the business goals of the applications served by these hosts. Implement appropriate caching layers (for example, read-only cache for static data). Reduce the volume of data volumes requested from databases (for example, request all, filter in memory).

Cloud 209
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Meet Hydrogen: A React Framework For Dynamic, Contextual And Personalized E-Commerce

Smashing Magazine

On top of this foundation, we add layers of caching, prerendering and edge delivery optimizations — not the other way around. Hydrogen fuels dynamic commerce by uniting React Server Components, streaming server-side rendering, and smart caching controls. Large preview ). This is not a debate about dynamic vs. static.

Cache 135
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HammerDB v4.10 New Features: Purge and Write back for MariaDB TPROC-C

HammerDB

An example of this is the “Checkpoint when complete” option for Oracle which will flush all dirty/modified data blocks in the in-memory buffer cache to disk and then switch the logfiles so this will not happen during a subsequent run with database writer activity impacting performance.

C++ 62
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A MyRocks Use Case

Percona

I wanted most of the memory to be available for the file cache, where the compressed SST files will be cached. The block cache just needs to be large enough to keep the index and filter blocks in memory. As the filesystem cache and the block cache warms up, the TPC-C transaction rates rise from 50 to around 175/s.

Storage 56
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Building an elastic query engine on disaggregated storage

The Morning Paper

If all data was read from S3 every time, performance would suffer, so of course Snowflake has a caching layer – a distributed ephemeral storage service shared by all the nodes in a warehouse. The caching use case may be the most familiar, but in fact it’s not the primary purpose of the ephemeral storage service.

Storage 112