Getting Started with Docker Linting Using GitHub Actions

Linting is a vital part of modern software development, as it helps prevent issues early and improves code quality throughout the development lifecycle. It also makes code easier to read, understand, and maintain. There are several linting tools available in the market, each designed for different purposes. 

One important area where linting plays an important role is containerization. Docker is a widely used tool in modern development, and the Dockerfile is one of its most critical components. Therefore, maintaining a high-quality Dockerfile is crucial for ensuring code quality and identifying potential issues early. This blog explains how to use CI/CD pipeline to perform Docker linting effectively.

Managing Planned Maintenance for Azure Container Apps

Azure Container App is a fully managed Azure service that receives regular updates automatically. These updates are applied with minimal impact on the container applications. However, Azure Container App users can now define a maintenance window, allowing them to schedule service maintenance at a convenient time. This ensures application availability during important periods without downtime due to service maintenance.

There are two types of service updates, critical and non-critical updates. Critical updates are applied immediately when required, and users cannot set a maintenance window for them. However, maintenance windows can be set for non-critical updates. This blog explains how to set a maintenance window for Azure Container App using a GitHub Action pipeline.

Multi configuration build with GitHub Action Matrices

Testing is a crucial part of software development, and there are several kinds of testing performed by software development teams. Configuration testing is one type of testing that verifies the performance of a system under different configurations. This blog explains how to use GitHub Actions Matrices to build the code with different configurations.

GitHub actions matrices allow to use of variables in a single job definition to create multiple jobs with different configurations.