Post

DevPod Open-Source Dev Environments as Code for SREs and Platform Engineers

Modern cloud-native development can be a double-edged sword for Site Reliability Engineering (SRE) and platform teams. On one hand, containerization and microservices have improved deployment consistency; on the other hand, setting up developer environments for complex stacks has become a daunting task. As one engineer put it, configuring each developer’s machine used to be “sweat, toil, and blood on every project”. Today’s applications often require a constellation of services – SQL and NoSQL databases, message brokers like Kafka, and more – making onboarding and environment consistency a serious challenge. SREs and platform engineers are tasked with ensuring reliability from code to production, which means development environments must be consistent, secure, and quick to provision. DevPod is a tool designed to address these needs head-on. In this post, we’ll explore what DevPod is, its core capabilities, and how it tackles key cloud-native development problems such as developer onboarding, infrastructure standardization, and secure remote environments – all from an SRE/platform engineering perspective.

What is DevPod? – Dev-Environments-as-Code on Any Infrastructure

DevPod is a free, open-source solution for creating reproducible, containerized development environments on virtually any infrastructure. At its core, DevPod leverages the open DevContainer specification (i.e. a devcontainer.json config) to define a developer’s environment as code. Each DevPod workspace is essentially a Docker container that contains all the dependencies, tools, and source code for a project. This means everything from language runtimes and libraries to build tools and editors can be pre-configured in a dev environment, ensuring that if it works in one developer’s DevPod, it will work for everyone else as well.

What makes DevPod especially powerful for SRE and platform teams is its flexible “provider” model. A provider is a backend that DevPod can use to launch the development container. Out of the box, you can run DevPod workspaces locally (e.g. on Docker Desktop), on a remote server over SSH, on a Kubernetes cluster, or in the public cloud – all with the same CLI/UI interface. In fact, you can think of DevPod as “the glue connecting your local IDE to a machine you want to use for development”. Depending on your project’s needs, that machine could be your laptop, a powerful VM in the cloud, or a node in your Kubernetes cluster. DevPod abstracts these options so that every workspace is managed the same way, making it easy to switch between local and remote development without changing your workflow.

From an architectural standpoint, DevPod is client-only – there’s no heavy server component to deploy or maintain. The developer runs a DevPod CLI or Desktop application on their machine, which then provisions and connects to the dev environment container on the chosen backend. DevPod integrates with popular IDEs out of the box: developers can connect to their DevPod workspace using VS Code’s remote containers extension or JetBrains Gateway for IntelliJ/PyCharm, etc., with minimal fuss. (And if your team uses other editors, a simple SSH connection gets the job done too.) This unopinionated design means DevPod works with “any infra, any IDE, and any programming language” – a key benefit for platform teams serving a diverse set of developers.

Key capabilities of DevPod include:

  • Dev-Environments-as-Code: DevPod uses the devcontainer.json standard to configure environments, allowing you to declaratively specify OS packages, runtimes, tools, and editor settings in version control.
  • Flexible Deployment (Local or Remote): DevPod can launch your containerized dev environment on your local machine, on a remote VM, or even on a Kubernetes cluster with equal ease.
  • Seamless IDE Integration: It supports VS Code and the JetBrains suite natively, so developers can use their preferred IDE to edit/run code in the DevPod workspace.
  • No Server Overhead: DevPod runs entirely on the client side; you don’t need to set up a centralized server or control plane.
  • Open-Source and Extensible: DevPod is 100% open-source and offered under a permissive license, with zero cost.
  • Rich Feature Set: Prebuilding environments, automatic inactivity shutdown, and credential syncing make DevPod practical for large teams.

Now that we know what DevPod is, let’s see how it addresses some common pain points in cloud-native development that SREs and platform engineers care about.

Accelerating Developer Onboarding (From Days to Seconds)

One of the first challenges DevPod tackles is developer onboarding. Setting up a new developer’s environment in a microservices or cloud-native project can be notoriously complex. New hires often face a maze of installations, environment variables, and configuration quirks to get a project running – which delays productivity and can introduce subtle discrepancies. For an SRE, lengthy onboarding is not just a productivity issue; it’s a reliability risk if new team members accidentally diverge from standard configs.

DevPod’s approach of on-demand, preconfigured dev environments drastically shortens this ramp-up time. Instead of manually installing databases, language toolchains, and CLIs, a new developer can clone the repository and create a DevPod workspace in one click or command. The entire development stack comes up inside a container automatically according to the devcontainer.json spec. With DevPod, a process that used to involve tribal knowledge and step-by-step wiki pages is replaced by a consistent, automated procedure.

From an SRE perspective, this instant onboarding means fewer support tickets and firefighting related to setup issues. Developers are less likely to say “it works on my machine” because everyone’s machine is now a DevPod container built from the same configuration. The outcome is a smoother onboarding experience and a faster path for developers to contribute, which ultimately benefits reliability and delivery timelines.

Standardizing Development Infrastructure and Environment Configuration

Infrastructure standardization is at the heart of SRE and platform engineering practices. Just as we strive to standardize production infrastructure with Infrastructure-as-Code and containers, DevPod enables Development-Environments-as-Code. All the subtle environment details are codified in the devcontainer definition. This eliminates the “works on my machine” syndrome by ensuring every developer’s environment is built from the same blueprint.

With DevPod, teams achieve consistent developer experiences across diverse setups. A DevPod workspace encapsulates a project’s dependencies and even development workflows. Whether a developer is on Windows, macOS, or Linux, using DevPod means they all spin up an identical containerized workspace. The result is a highly standardized, version-controlled development platform. SRE and platform teams can treat dev environments just like any other piece of infrastructure – reviewing changes in config via GitOps, rolling out updates, and using automation to ensure compliance with organizational standards.

Secure and Consistent Remote Development Environments

Another major benefit of DevPod, especially relevant for SREs, is how it facilitates secure, remote development environments without compromising developer experience. Many organizations have policies or preferences to keep development workloads off local machines – whether for security or for providing more computing power than a laptop can offer.

DevPod provides an open alternative: developers can run their dev containers on remote servers or cloud instances under the company’s control, all while using their familiar local IDE.

From a consistency standpoint, remote DevPod workspaces behave the same as local ones. Developers can connect to a remote container over SSH through DevPod and still get features like port forwarding for web apps, live debugging, and so on. Because DevPod uses standard protocols and the DevContainer spec, there’s no proprietary magic – just well-understood container and SSH mechanisms packaged for convenience.

Another angle is resource optimization and reliability. Routine editing or small tasks can be done in a local DevPod container, but when developers need to run an integration test suite or compile a large codebase, they can swap to a remote powerhouse machine. Plus, DevPod’s providers can auto-shutdown idle cloud instances, helping SREs control cloud costs and security exposure.

Open-Source, No Lock-In, and Cost Benefits for Platform Teams

It’s worth emphasizing that DevPod is free and open-source – a key differentiator that appeals to engineering platform teams looking to avoid vendor lock-in. DevPod doesn’t tie you to a specific cloud or platform. You can host DevPod environments on any cloud provider or on-premises hardware, and switch providers at will with a single command.

Cost is another important factor from an SRE and management perspective. By using DevPod on your own infrastructure, companies often realize significant cost savings compared to managed cloud dev environments. The DevPod team notes it can be 5–10 times cheaper than hosted alternatives. Each developer’s client spins up environments on demand, which is a very cloud-efficient model.

Finally, being open-source, DevPod fosters a community where SREs and platform engineers can share best practices. In adopting DevPod, you’re not just solving a tooling problem – you’re investing in an approach to development that aligns with SRE principles: automation, consistency, repeatability, and feedback.

Hands-On: Golang + AWS Secrets Manager DevPod Demo

To help you get started with DevPod in a real-world context, I’ve published a hands-on example on GitHub:

👉 NoNickeD/devpod-demo

This project shows how to:

  • Build a Golang microservice that securely retrieves secrets from AWS Secrets Manager
  • Develop locally or remotely using DevPod and DevContainers
  • Automate everything with Taskfile.yaml
  • Containerize with a multi-stage Dockerfile
  • Run DevPod seamlessly with VS Code, JetBrains Gateway, or terminal

🔧 Features

  • Secure and production-oriented AWS SDK usage
  • /secret endpoint to retrieve secrets over HTTP
  • DevPod-powered environment using devcontainer.json
  • task devpod:up to launch workspace instantly
  • task dev and task test for fast iteration
  • Minimal Docker container for deployments

🚀 Quick Start

Clone the repo:

1
2
git clone https://github.com/NoNickeD/devpod-demo.git
cd devpod-demo

Launch DevPod and start developing:

1
2
task devpod:up
task dev

You can access the API at: http://localhost:8080/secret

To build and run inside a container:

1
2
task docker:build
task docker:run

Conclusion: DevPod’s Value for Reliability and Developer Experience

As cloud-native systems continue to grow in complexity, the line between development and operations blurs – reliability and consistency must start from the moment code is written. DevPod provides a technical foundation for reliable development environments that SREs and platform engineers can champion.

In practical terms, adopting DevPod can mean faster onboarding, happier developers, and fewer late-night surprises caused by “it worked on my machine” issues. Developers can focus on coding and testing, while SREs can be confident that the dev environments are consistent with each other and even aligned with production setups.

In summary, DevPod brings the benefits of infrastructure-as-code to development environments: you get consistency, repeatability, and automation, which all translate to improved reliability and security in the software delivery process. For SREs and platform engineers striving to improve developer productivity and maintain high standards of reliability, DevPod is an exciting addition to the toolkit.

DevPod

This post is licensed under CC BY 4.0 by the author.