Smaller HTML Payloads with Service Workers — Philip Walton
Many developers know that you can use service workers to cache web pages (and their sub-resources) in order to serve those pages to users when they’re offline. And while this is true, it’s far from the only thing that service workers can do to improve the performance and reliability of a website. A lesser known capability of service workers is that you can programmatically generate your responses—
GitHub - tarantool/tarantool: Get your data in RAM. Get compute close to data. Enjoy the performance.
Tarantool is an in-memory computing platform consisting of a database and an application server. It is distributed under BSD 2-Clause terms. Key features of the application server: Heavily optimized Lua interpreter with incredibly fast tracing JIT compiler, based on LuaJIT 2.1. Cooperative multitasking, non-blocking IO. Persistent queues. Sharding. Cluster and application management framework. Acc
Varnish best practices « Kristian Lyngstol's Blog
A while ago I wrote about common Varnish issues, and I think it’s time for an updated version. This time, I’ve decided to include a few somewhat uncommon issues that, if set, can be difficult to spot or track down. A sort of pitfall-avoidance, if you will. I’ll add a little summary with parameters and such at the end. 1. Run Varnish on a 64 bit operating system Varnish works on 32-bit, but was des
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GitHub - golang/groupcache: groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.
GitHub - TumblrArchive/TMCache: Fast parallel object cache for iOS and OS X.
Google Code Archive - Long-term storage for Google Code Project Hosting.
