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There are many ways to understand how containers work, but most useful explanations are actually simplifications. Many people have settled on explaining containers by calling them ‘light-weight VMs’ and they are light-weight because they ‘share the kernel with the host’. This is useful, but it simplifies a lot away. What is a ‘light-weight VM’? What does sharing the kernel mean? Others will tell y

This article explains how to create Pong using Golang. Earthly provides consistent builds for projects like this. Check it out. But Why? I’ve been trying to learn Golang lately. Previously, I wrote an article where I built an app for storing contacts that ran in the terminal using the tview package. This was a great first project to get me used to working with Go. After I was done, a colleague sen

This article explains AWS Lambda containers. Earthly streamlines the build process for AWS Lambda with container support. Check it out. Most of the code I’ve had running on AWS’s cloud has been in docker containers, running in Kubernetes clusters. And from my perspective, AWS was invisible. All I needed to concern myself with was the intricacies of getting the YAML for kubectl apply right. Of cour

This article compares LXC and Docker. Earthly enhances Docker by streamlining the container build process with advanced caching and parallelization. Check it out. Linux Containers (LXC) is an OS-level virtualization technology that enables you to create and run multiple Linux operating systems (OS) simultaneously on a single Linux machine (LXC host). LXC provides a set of tools to manage your cont

This article explores Go error handling. Earthly is popular with Go developers for ensuring reproducible builds. Check it out. Error handling in Go is a little different than other mainstream programming languages like Java, JavaScript, or Python. Go’s built-in errors don’t contain stack traces, nor do they support conventional try/catch methods to handle them. Instead, errors in Go are just value

In this article, we’ll explore the fundamentals of Awk, a tool that simplifies text processing. Earthly streamlines your build processes with ease and effectiveness. Learn more. Background I have a confession to make: I don’t know how to use Awk. Or at least I didn’t know how to use it before I started writing this article. I would hear people mention Awk and how often they used it, and I was pret

Explore the power of jq for JSON processing in this article. If you’re a jq aficionado, discover how Earthly can streamline your JSON tasks and enhance your build pipelines. Learn more. Background: Fingers, Head, and Google Whenever I reach a stopping point in my work, I use a bash alias called gwip1 to create a ‘work in progress’ commit. It happens without conscious thinking on my part. The same

In this article, you’ll discover how command-line tools can do more for you.Earthly can transform your build processes. Learn more. Lately, I’ve been doing a lot more things at the command line. I’m not a hard-core terminal guy – I use VSCode more than Vim – but I’m always surprised at the number of complex tasks that can be done using just the POSIX standard command-line tools like grep, cat and

So why is JRuby slow in these examples? It turns out that the answer is complicated. What Is JRuby? I was very happy to discover the JRuby project, my favorite programming language running on what’s probably the best virtual machine in the world. - Peter Lind JRuby is an alternative Ruby interpreter that runs on the Java Virtual Machine (JVM). MRI Ruby, also known as CRuby, is written in C and is

This article explores programming language preferences. You might prefer Earthly. It can streamline your build processes. Check it out. The Data The Stack Overflow Developer Survey1 results are a great source of information about how developers work. I was looking at the 2020 results for some ideas on what programming languages we should add to our documentation on containerized builds, and I noti

Every service is a unique snowflake Supporting infinitely diverse CI/CD setups is overwhelming. Hundreds of different microservices, tech stacks, teams, CI pipelines, legacy code… Standardizing your engineering culture has become nearly impossible. Scorecards miss 90% of SDLC concerns You can't govern what you can't see. Traditional scorecarding systems in IDPs only see the tip of the iceberg. The