Terralist is a private Terraform registry for providers and modules following the published HashiCorp protocols.

In this article, “remote development environments” refer to AWS EC2 instances where engineers make code changes and can see a running Slack application with those changes.

Using a pull-request workflow

Sometimes you need info about hardware, and you probably lost your invoice, spec list or a password to a store website. Maybe you did an upgrade and this info isn't accurate anymore. It's an easy case for home users, but what to do is you have many machines in a corporate environment? The commands below will also be useful for hardware debug.

Automating your ticket queue with self-service Terraform repos works for more use cases than you might think.

Grafana OnCall is an easy-to-use on-call management tool that will help reduce toil in on-call management through simpler workflows and interfaces that are tailored specifically for engineers. This product is based on the Grafana OnCall OSS project.

Uncomplete list of macOS defaults commands with demos

A command line tool that takes a Terraform template, parses IAM identity-based and resource-based policies, then runs them through IAM Access Analyzer policy validation checks.

Generate valid Terraform configuration from state.

Weaveworks GitOps Extension (in the Visual Studio Code Marketplace) provides an intuitive way to manage, troubleshoot and operate your Kubernetes environment following the GitOps operating model, accelerating your development lifecycle and simplifying your continuous delivery pipelines. 

Pulling image is one of the time-consuming steps in the container lifecycle. Research shows that time to take for pull operation accounts for 76% of container startup time[FAST '16]. Stargz Snapshotter is an implementation of snapshotter which aims to solve this problem by lazy pulling. Lazy pulling here means a container can run without waiting for the pull completion of the image and necessary chunks of the image are fetched on-demand.

KubeFire is to create and manage Kubernetes clusters running on FireCracker microVMs via weaveworks/ignite.