In Support of Fat Images

The cloud native community has developed an almost religious devotion to slim container images. The reasoning seems sound enough: fewer packages mean a smaller attack surface, which translates to better security. But like most orthodoxies, this one deserves some scrutiny. What if our collective obsession with minimal images is causing us to overlook certain benefits of fatter images?

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Author's profile picture Joe Kutner

Using Github Actions to Run Buildpacks

In my previous post, I showed you how to create an inline buildpack that live directly in your application repository. We created a Python buildpack that bundles uv for dependency installation, eliminating the need to maintain a separate buildpack repository.

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Author's profile picture Joe Kutner

Open Source Sustainability in a Bad Economy

Do you know who’s maintaining your critical open source infrastructure? That project with a fancy logo could be one corporate re-org away from disaster.

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Author's profile picture Joe Kutner

Inline Buildpacks: Creating Docker Images the Easy Way

Using buildpacks can be as easy as dropping a project.toml into your app, and adding some custom build logic. But unlike a Dockerfile, the resulting image can benefit from powerful features like rebase and advanced caching.

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Author's profile picture Joe Kutner

Creating Elevated User Experiences

A well developed experience lifts users up, enabling them to do more, see more, and be more.

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Author's profile picture Joe Kutner

The Happiest Platform on Earth: What the Cloud Can Learn from Disney World

We can add a little magic to our cloud platforms by learning from the techniques Disney’s Imagineers use.

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Author's profile picture Joe Kutner

Meet Developers Where They Are

The key to removing the friction in a developer experience is meeting developers where they are, which we can do by following just a few rules as we design our software tools.

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Author's profile picture Joe Kutner

Write a Good Dockerfile in 0 Steps

If you already have the Pack CLI installed, you can create a Docker image for any Java, Node.js, Python, or Ruby app (without a Dockerfile) by running:

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Author's profile picture Joe Kutner

Write a Good Dockerfile in 19 'Easy' Steps

(update: also see my post on Writing a Good Dockerfile in 0 Steps)

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Author's profile picture Joe Kutner

My Rules for Writing Well

I’ve learned the hard way that writing is… hard. But anyone can become a great writer by following a few rules.

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Author's profile picture Joe Kutner

Programming Minecraft with Python in Docker

In this post, you’ll learn how to use Python to program a Minecraft server running in a Docker container.

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Author's profile picture Joe Kutner

Using Your Heroku Buildpacks with the Pack CLI

You can’t teach an old dog new tricks, but you can wrap it in an API compatibility layer. In this post, you’ll learn how to use older versions of Heroku Buildpacks with the Pack CLI by wrapping them in a Cloud Native Buildpack shim that’s as easy as:

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Author's profile picture Joe Kutner

Building Spring Boot Docker Images with Heroku Buildpacks

Spring Boot 2.3.0 introduced a new feature you can use to package your app into a Docker image with Cloud Native Buildpacks (CNB). In this post, you’ll learn how to use this mechanism with Heroku buildpacks to create an image you can run on any cloud platform.

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Author's profile picture Joe Kutner

Using AdoptOpenJDK, Corretto, Zulu, and Graal on Heroku

Choosing a Java runtime to install has become… interesting. Simon Ritter of Azul and Matt Raible of Okta have done great write-ups on how to select the right JDK, and in this post you’ll learn how to use a few of those options on Heroku.

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Author's profile picture Joe Kutner

Mystery Memory Leaks and JNI

Java libraries that invoke native code (i.e. code written in C/C++ and compiled for a specific platform) via the Java Native Interface (JNI) can allocate memory that is nearly invisible to standard JVM monitoring tools. This creates the potential for very mysterious memory leaks because JNI does not automatically garbage collect or track the non-JVM memory resources allocated on the native side.

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Author's profile picture Joe Kutner