Stars
Production-Grade Container Scheduling and Management
Papers from the computer science community to read and discuss.
A professional front-end template for building fast, robust, and adaptable web apps or sites.
A curated list of Rust code and resources.
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
A library for building fast, reliable and evolvable network services.
HTTP load testing tool and library. It's over 9000!
Delve is a debugger for the Go programming language.
Vundle, the plug-in manager for Vim
Peace of mind from prototype to production
Application Architecture for Building User Interfaces
A community-driven Ruby coding style guide
Logstash - transport and process your logs, events, or other data
A curated list of amazingly awesome Elixir and Erlang libraries, resources and shiny things. Updates:
Classy web-development dressed in a DSL (official / canonical repo)
The exceptionally handsome dashboard framework in Ruby and Coffeescript.
A set of Ansible playbooks to build and maintain your own private cloud: email, calendar, contacts, file sync, IRC bouncer, VPN, and more.
Performance analysis tools based on Linux perf_events (aka perf) and ftrace
Obsessive cheat sheet to favicon sizes/types. Please contribute! (Note: this may be in flux as I learn new things about favicon best practices.)
Pointers to useful, well-written, and otherwise beautiful documentation.
📖 A creative-commons book on Backbone.js for beginners and advanced users alike
A free & open modern, fast email client with user-friendly encryption and privacy features
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
[Project ended] rkt is a pod-native container engine for Linux. It is composable, secure, and built on standards.
Chef Infra, a powerful automation platform that transforms infrastructure into code automating how infrastructure is configured, deployed and managed across any environment, at any scale
📈 Capturing JVM- and application-level metrics. So you know what's going on.