Show HN: Foyer, Hybrid in-memory and disk cache in Rust
(github.com/foyer-rs)
foyer aims to be an efficient and user-friendly hybrid cache lib in Rust.
foyer aims to be an efficient and user-friendly hybrid cache lib in Rust.
Sometimes I cache: implementing lock-free probabilistic caching
(cloudflare.com)
HTTP caching is conceptually simple: if the response to a request is in the cache, serve it, and if not, pull it from your origin, put it in the cache, and return it.
HTTP caching is conceptually simple: if the response to a request is in the cache, serve it, and if not, pull it from your origin, put it in the cache, and return it.
Thruster – HTTP/2 proxy for Rails apps with built-in Let's Encrypt and caching
(github.com/basecamp)
Thruster is an HTTP/2 proxy for simple production-ready deployments of Rails applications.
Thruster is an HTTP/2 proxy for simple production-ready deployments of Rails applications.
Turning Off Zen 4's Op Cache for Curiosity and Giggles
(chipsandcheese.com)
CPUs start executing instructions by fetching those instruction bytes from memory and decoding them into internal operations (micro-ops). Getting data from memory and operating on it consumes power and incurs latency. Micro-op caching is a popular technique to improve on both fronts, and involves caching micro-ops that correspond to frequently executed instructions.
CPUs start executing instructions by fetching those instruction bytes from memory and decoding them into internal operations (micro-ops). Getting data from memory and operating on it consumes power and incurs latency. Micro-op caching is a popular technique to improve on both fronts, and involves caching micro-ops that correspond to frequently executed instructions.
Making AWS News stupid fast with smart caching
(lucvandonkersgoed.com)
As I’m typing this, Re:Invent 2024 is only weeks away. In anticipation of https://aws-news.com‘s busiest period of the year, I redesigned the API access patterns to support very effective caching. This resulted in significantly reduced backend load and a much faster frontend.
As I’m typing this, Re:Invent 2024 is only weeks away. In anticipation of https://aws-news.com‘s busiest period of the year, I redesigned the API access patterns to support very effective caching. This resulted in significantly reduced backend load and a much faster frontend.
FreeLRU: GC-less, fast and generic LRU hashmap library for Go
(github.com/elastic)
FreeLRU allows you to cache objects without introducing GC overhead.
FreeLRU allows you to cache objects without introducing GC overhead.
Cache Directory Tagging Specification (2004)
(bford.info)
Many applications create and manage directories containing cached information about content stored elsewhere, such as cached Web content or thumbnail-size versions of images or movies.
Many applications create and manage directories containing cached information about content stored elsewhere, such as cached Web content or thumbnail-size versions of images or movies.
Nix at work: FlakeHub Cache and private flakes
(determinate.systems)
Today, we’re delighted to announce a new chapter for FlakeHub with the general availability of two new features: FlakeHub Cache and private flakes.
Today, we’re delighted to announce a new chapter for FlakeHub with the general availability of two new features: FlakeHub Cache and private flakes.
Show HN: Pocache, preemptive optimistic caching for Go
(github.com/naughtygopher)
Pocache (poh-cash (/poʊ kæʃ/)), Preemptive optimistic cache, is a lightweight in-app caching package. It introduces preemptive cache updates, optimizing performance in concurrent environments by reducing redundant database calls while maintaining fresh data. It uses Hashicorp's Go LRU package as the default storage.
Pocache (poh-cash (/poʊ kæʃ/)), Preemptive optimistic cache, is a lightweight in-app caching package. It introduces preemptive cache updates, optimizing performance in concurrent environments by reducing redundant database calls while maintaining fresh data. It uses Hashicorp's Go LRU package as the default storage.
The Simple Magic of Consistent Hashing (2011)
(paperplanes.de)
The simplicity of consistent hashing is pretty mind-blowing. Here you have a number of nodes in a cluster of databases, or in a cluster of web caches. How do you figure out where the data for a particular key goes in that cluster?
The simplicity of consistent hashing is pretty mind-blowing. Here you have a number of nodes in a cluster of databases, or in a cluster of web caches. How do you figure out where the data for a particular key goes in that cluster?
Cache Me Not, Cache Me, Cache Me Not
(hazelweakly.me)
Caching is hard. So hard. But also, we are so fucking bad at it. Every time I have to use a public wifi setup I have a joker moment. Does absolutely nobody test shit on anything less than wired symmetric gigabit anymore?
Caching is hard. So hard. But also, we are so fucking bad at it. Every time I have to use a public wifi setup I have a joker moment. Does absolutely nobody test shit on anything less than wired symmetric gigabit anymore?
Telum II at Hot Chips 2024: Mainframe with a Unique Caching Strategy
(chipsandcheese.com)
Mainframes still play a vital role in today, providing extremely high uptime and low latency for financial transactions.
Mainframes still play a vital role in today, providing extremely high uptime and low latency for financial transactions.