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The official Ubuntu Docker image is the most downloaded image from Docker Hub. With over one billion downloads, Ubuntu has proven itself to be a popular and reliable base image on which to build your own custom Docker images.
In this post, I show you how to make the most of the base Ubuntu images while building your own Docker images.
Docker is a compelling platform to package and run web applications, especially when paired with one of the many Platform-as-a-Service (PaaS) offerings provided by cloud platforms. NGINX has long provided DevOps teams with the ability to host web applications on Linux and also provides an official Docker image to use as the base for custom web applications.
In this post, I explain how DevOps teams can use the NGINX Docker image to build and run web applications on Docker.
In the beginning, there was the Kubernetes Dashboard. This dashboard is the default option for anyone who wants to monitor a Kubernetes cluster, but over the years a number of alternatives have been developed that are worth looking into.
In this post, I take a look at some of these alternative Kubernetes dashboards.
At some point, as your Kubernetes cluster grows in complexity, the question of role-based security will become important. Typically, this means breaking the cluster up into namespaces and limiting access to namespaced resources to specific accounts.
To support this, Kubernetes includes a number of resources, including roles, cluster roles, role bindings, and cluster role bindings. At a high level, roles, and role bindings are placed inside of and grant access to a specific namespace, while cluster roles and cluster role bindings do not belong to a namespace and grant access across the entire cluster.
GitHub Actions has a large ecosystem of high-quality third-party actions, plus built-in support for executing build steps inside Docker containers. This means it's easy to run end-to-end tests as part of a workflow, often only requiring a single step to run testing tools with all the required dependencies.
In this post, I show you how to run browser tests with Cypress and API tests with Postman as part of a GitHub Actions workflow.
Verifying code changes with unit tests is a critical process in typical development workflows. GitHub Actions provides a number of custom actions to collect and process the results of tests allowing developers to browse the results, debug failed tests, and generate reports.
In this article, I show you how to add unit tests to a GitHub Actions workflow and configure custom actions to process the results.
The terms Continuous Integration and Continuous Delivery/Deployment tend to be combined into the acronym CI/CD to describe the process of building and deploying software, often without distinction between the two. The terms describe distinct processes, even if combining them suggests that Continuous Delivery and Continuous Deployment are an extension of Continuous Integration and the execution of both processes is the responsibility of a single tool.
Assuming CI/CD is just CI with a deployment step ignores some fundamental differences between the two processes. In this post, we look at:
Microservices can be a powerful design pattern that allows large teams of developers to deliver code to production without requiring code to be coordinated in a single codebase and released on a common schedule. Deploying these microservices can be a challenge though, as the cost of orchestrating Kubernetes resources and promoting between environments is paid by each individual microservice.
Octopus has a number of useful features to help streamline and manage microservice deployments. In this post and screencast, we’ll run through the process of deploying the sample microservice application Online Boutique, which was created by Google.
This post is part of a series that demonstrates a sample deployment pipeline with Jenkins, Docker, and Octopus:
This post is part of a series that demonstrates a sample deployment pipeline with Jenkins, Docker, and Octopus:
Getting started with Kubernetes can be a little overwhelming. With so many tools like Minikube, K3s, Docker Desktop, MicroK8s, and Kind, even knowing which test distribution to use is not an easy choice.
For local development, I find myself using Kind. It is quick to boot and integrates well with WSL2 allowing me to quickly switch between Windows and Linux development.
AWS Lambdas provide a convenient environment in which to run short-lived applications without having to worry about provisioning the underlying hardware or manage operating systems. In this post, we'll look at a simple Java application that can run as a Lambda.
The source code for this application is available on GitHub.