Malinda Rajapakse's starred repositories
kubernetes-the-hard-way
Bootstrap Kubernetes the hard way. No scripts.
docker-registry-exporter
Prometheus exporter for docker registry
awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
k6-operator
An operator for running distributed k6 tests.
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
code-with-engineering-playbook
This is the playbook for "code-with" customer or partner engagements
golang-cheat-sheet
An overview of Go syntax and features.
awesome-shell
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
Awesome-Design-Tools
The best design tools and plugins for everything 👉
awesome-courses
:books: List of awesome university courses for learning Computer Science!
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
awesome-go
A curated list of awesome Go frameworks, libraries and software
awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
90DaysOfDevOps
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all