The example case is simple: Deploy a minimal REST API and evolve its code from the easiest (read: ugliest) to the what we think is production ready.

- Don’t assign blame
- Do take responsibility
- Don’t procrastinate
- Do gather information
- Don’t be vague
- Do define clear owners
- Don’t lose focus
- Do use a consistent template

Karpenter is a metrics-driven autoscaler built for Kubernetes and can run in any Kubernetes cluster anywhere. It's performant, extensible, and can autoscale anything that implements the Kubernetes scale subresource.

A service health dashboard in Go that is meant to be used as a docker image with a custom configuration file.

Myth 0: MongoDB is Web Scale
Myth 1: MongoDB is on v3.2
Myth 2: MongoDB is a JSON Database
Myth 3: MongoDB Doesn't Support Transactions
Myth 4: MongoDB Doesn't Support Relationships
Myth 5: MongoDB is All About Sharding
Myth 6: MongoDB is Insecure
Myth 7: MongoDB Loses Data
Myth 8: MongoDB is Easy

Ethr is a cross platform network performance measurement tool written in golang. The goal of this project is to provide a native tool for comprehensive network performance measurements of bandwidth, connections/s, packets/s, latency, loss & jitter, across multiple protocols such as TCP, UDP, HTTP, HTTPS, and across multiple platforms such as Windows, Linux and other Unix systems.