in order to be great, there must also be a way to measure, evaluate, and improve that performance. So, how exactly do developers go from capable to good? From good to great? This handbook is meant to be a guide to developer performance–how to understand it, measure it, and improve it.
Short step-by-step READMEs and code samples for anybody to follow. Honestly, this tutorial is basically the first document but split into smaller pieces and without the theory.
For optimum performance, a PostgreSQL database depends on the operating system parameters being defined correctly. Poorly configured OS kernel parameters can cause degradation in database server performance.
A story of get first input delay under 100ms at the 99th percentile. How I approached diagnosing the problem. What specific strategies and techniques I used to fix it. I’m calling the strategy: idle until urgent.
A great story on gameboy, hacker mindset, job interview :-) and going back to your code after 5 years. Rewarding experience that I’ve been dining out on in job interviews ever since. If you like experiment, gameboy, emulator, and WebAssembly definetely read this.
Our reader, Esther Schindler share this with us. This is the first time Linus appologies for his behaviour. I think this will encourage more talent people hack on the kernel and a win-win for every one.
How compositor is enabling smooth interaction when user input comes in.
visual node editor for GraphQL
Travis-like Jenkins job generation using Job DSL plugin groovy scripts
Declarative Continuous Delivery for Kubernetes
use PostgreSQL functions and triggers written in the Lua programming language
Quick and Easy server testing/validation
Experimental, scalable, high performance HTTP server
A testing framework for mail security and filtering solutions
Collection of Tools & Procedures for double checking GitHub configurations
A collection of datasets ready to use with TensorFlow
automated accessibility testing pal
cloning mongoDB database from one server to another
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