Microservices are an architectural style that structures an application as a collection of small, loosely coupled, and independently deployable services. Each service in a microservices architecture focuses on a specific business function and communicates with other services through well-defined APIs, typically over HTTP/REST or messaging queues.

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Successful DevOps implementation is critical for enhancing the efficiency, reliability, and quality of software development and delivery. To evaluate the effectiveness of DevOps practices, various metrics can be used. Below is a detailed overview of key metrics.

When working with ML models, it’s fair to say that a model is only as good as the data it was trained on. Training and testing models on quality datasets of an appropriate size is essential for model performance. Because of the intricate link between a model and the data it was trained on, it’s also important to be able to store datasets and versioned models together.

Widespread adoption of containerized infrastructure has been closely followed by an explosion of container-native tools for each layer of the stack, including new solutions for managing CI/CD pipelines in container-based environments, such as the Argo suite, FluxCD, and Tekton. This is because these lightweight solutions make it easier to automate builds, testing, deployments, and more on Kubernetes, as well as other platforms that manage containerized workloads and services.

In the fast-paced world of software development, the ability to quickly and reliably deliver software is paramount. This need has led to the evolution of CI/CD—Continuous Integration, Continuous Delivery, and Continuous Deployment—practices that streamline and automate the development lifecycle. Below, we explore these core CI/CD concepts and related automation practices that are transforming the software industry.

In today’s fast-paced software development landscape, the need to deliver high-quality software rapidly and reliably is paramount. Continuous Integration (CI) and Continuous Delivery/Deployment (CD) have emerged as essential practices that enable development teams to meet these demands. Central to the success of CI/CD pipelines is a robust framework for testing and quality assurance (QA).