blanchma's Stars
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
kdn251/interviews
Everything you need to know to get the job.
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
open-guides/og-aws
📙 Amazon Web Services — a practical guide
Olshansk/interview
Everything you need to prepare for your technical interview
dariubs/GoBooks
List of Golang books
mfornos/awesome-microservices
A curated list of Microservice Architecture related principles and technologies.
careercup/CtCI-6th-Edition
Cracking the Coding Interview 6th Ed. Solutions
upgundecha/howtheysre
A curated collection of publicly available resources on how technology and tech-savvy organizations around the world practice Site Reliability Engineering (SRE)
RayTracing/raytracing.github.io
Main Web Site (Online Books)
stoeffel/awesome-fp-js
:sunglasses: A curated list of awesome functional programming stuff in js
alexcasalboni/aws-lambda-power-tuning
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
junnplus/awesome-python-books
:books: Directory of Python books
xgrommx/awesome-functional-programming
Yet another resource for collecting articles, videos etc. regarding functional programming
williamfiset/DEPRECATED-data-structures
A collection of powerful data structures
arbox/machine-learning-with-ruby
Curated list: Resources for machine learning in Ruby
dominikwilkowski/cfonts
Sexy fonts for the console
othiym23/node-continuation-local-storage
implementation of https://github.com/joyent/node/issues/5243
andywer/pg-listen
📡 PostgreSQL LISTEN & NOTIFY for node.js that finally works.
kitze/react-electron-example
An example of using React (create-react-app) with Electron
richardkall/react-starter
Starter kit for creating universal React applications.
kotlin-hands-on/hands-on
HarringayMakerSpace/awsiot
ESP8266 / ESP32 examples with Amazon AWS IoT
mtthwhggns/tomatobot
princhcanal/pathfinding-visualizer
gcba/tod
Herramienta de visualización de características poblacionales de la CABA en relación a las zonas de influencia de los distintos sistemas de transporte público.
mirceaalexandru/seneca-mesh
seneca-mesh