DevOps&SRE Library

This course considers two closely related topics, Concurrent Systems and Distributed Systems, over 16 lectures. The aim of the first half of the course is to introduce concurrency control concepts and their implications for system design and implementation. The aims of the latter half of the course are to study the fundamental characteristics of distributed systems, including their models and architectures; the implications for software design; some of the techniques that have been used to build them; and the resulting details of good distributed algorithms and applications.

ctlptl (pronounced "cattle paddle") is a CLI for declaratively setting up local Kubernetes clusters.

Inspired by kubectl and ClusterAPI's clusterctl, you declare your local cluster with YAML and use ctlptl to set it up.

How interesting companies build Site Reliability Engineering in the real-world.

Hash is a Brazilian fintech building the next-generation of payments infrastructure.

Dafiti Group is the starting point of fashion in Latin America. 

Creditas is the leading 100% digital lending and consumer solutions platform in Latin America.

TOTVS is the largest technology company in Brazil.

PowerfulSeal injects failure into your Kubernetes clusters, so that you can detect problems as early as possible. It allows for writing scenarios describing complete chaos experiments.

kubectl-images makes use of the kubectl command. It first calls kubectl get pods to retrieve pods details and filters out the container image information of each pod, then prints out the final result in a table view.

1. Understand and accept that you will make mistakes.
2. You are not your code.
3. No matter how much "karate" you know, someone else will always know more.
4. Don't rewrite code without consultation.
5. Treat people who know less than you with respect and patience.
6. The only constant in the world is change.
7. The only true authority stems from knowledge, not from position.
8. Fight for what you believe, but gracefully accept defeat.
9. Don't be "the guy in the room".
10. Critique code instead of people – be kind to the coder, not to the code.

Kraken is a P2P-powered Docker registry that focuses on scalability and availability. It is designed for Docker image management, replication, and distribution in a hybrid cloud environment. With pluggable backend support, Kraken can easily integrate into existing Docker registry setups as the distribution layer.

Kraken has been in production at Uber since early 2018. In our busiest cluster, Kraken distributes more than 1 million blobs per day, including 100k 1G+ blobs. At its peak production load, Kraken distributes 20K 100MB-1G blobs in under 30 sec.