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Run dbt tests in parallel with CI/CD

One difficult challenge in the software development cycle is increasing the speed of development while ensuring the quality of the code remains the same. The data world has adopted software development practices in recent years to test data changes before deployment. The testing process can be time-consuming and prone to unexpected errors.

Deploying web applications on Kubernetes with continuous integration

Containers and microservices have revolutionized the way applications are deployed on the cloud. Since its launch in 2014, Kubernetes has become a de-facto standard as a container orchestration tool. In this tutorial, you will learn how to deploy a Node.js application on Azure Kubernetes Service (AKS) with continuous integration and continuous deployment (CI/CD).

Pushing a project to GitHub

GitHub is a web-based platform used for project version control and codebase hosting. GitHub uses Git, a widely-used version control system. GitLab and Bitbucket are similar tools. Using GitHub is a prerequisite of most tutorials on the CircleCI blog, so it is helpful to learn to use it. In this tutorial, I’ll show you how to push a project to GitHub.

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How DevOps can improve burnout and communication in healthcare

In healthcare details matter, and providing the services and support patients need means that zero quality compromise is key. As the pandemic has put a strain on most industries, those in healthcare may have had the heaviest burden. Regardless of speciality and size, operational inefficiencies and poor patient communication and service remain highly prevalent in medical practice today. These can lead to high rates of physician and administrative burnout as part of a stressful and busy career.

Announcing GitLab support on CircleCI

Today we are pleased to announce GitLab support on CircleCI. Teams using GitLab SaaS can now build, test, and deploy on CircleCI, and access CircleCI’s most popular features like Docker layer caching and automatic test-splitting. GitLab is now the third version control system we support, in addition to GitHub and Bitbucket.

Conditional CircleCI pipeline execution

The DevOps practice of continuous integration and continuous deployment (CI/CD) improves software delivery. CI/CD platforms monitor and automate the application development process ensuring a better application, faster. CI/CD pipelines build code, run tests, and deploy a production-ready version of an application that has passed all automated checks.

Automatically scale self-hosted runners in AWS to meet demand

Self-hosted runners allow you to host your own scalable execution environments in your private cloud or on-premises, giving you more flexibility to customize and control your CI/CD infrastructure. Teams with unique security or compute requirements can set up and start using self-hosted runners in under five minutes.

How testing in the cloud delivers value to development teams

Testing is an integral part of the software development process and is one of the key ways development teams can better understand how applications function. Testing also prevents changes in the codebase that can affect other parts of the code, enabling you to measure the quality of the software and eliminate any errors before users can interact with it. Most development teams use unit and integration tests assess their software.

Automating compliance in software delivery

Software development teams face a large and growing number of obstacles: shifting design requirements, organizational blockers, tight deadlines, complicated tech stacks and software supply chains. One emerging challenge that developers and IT leaders face is the need to stay compliant with regulations and control frameworks that stipulate comprehensive data security, incident response, and monitoring and reporting requirements.

Edge computing vs cloud computing

By now, almost everyone is familiar with cloud computing in one form or another. Throughout the 2010s, the concept of cloud computing evolved within the software industry, then worked its way into everyday life as a universal household term. Somewhat less familiar is the concept of edge computing. The genesis of the “edge” dates to the first content delivery networks in the 1990s. Since then, the edge concept has primarily been the domain of network engineers.