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CI CD

The latest News and Information on Continuous Integration and Development, and related technologies.

Troubleshooting CircleCI webhooks

CircleCI webhooks open up a variety of exciting use cases, from data logging and integrations with third-party monitoring and observability solutions to setting up your own custom dashboards to monitor pipeline health. To ensure that you can properly monitor events, resolve authentication errors, and also access the information contained within them, you need a reliable process to debug any errors you might encounter.

Amplify Artifactory and Distribution Changes Through PagerDuty

When automated software delivery runs smoothly, it can whisper, and quietly attend to itself. But when your delivery and distribution pipeline runs into a problem, it must shout. Boosting the volume of Artifactory and Distribution change events and issues through PagerDuty can help ensure they’re heard by everyone whose job it is to monitor your software delivery pipeline.

Automating database cleanup with scheduled pipelines

RESTful API projects often require that developers grant temporary access to a particular resource. Sometimes this happens within a specific interval, such as a few days or months. Revoking permissions when they expire could mean including extra logic during the authentication process or writing a middleware function to attach to the secured endpoint. Or, this logic could be abstracted to a separate part and configured to check and manage permissions at a regular interval.

Technical debt: how to measure and manage it with DevOps

Every technical team in the software industry is familiar with technical debt. That is because every software team incurs technical debt along the way. This article answers some critical questions about technical debt. It reviews what technical debt is and what its causes are, why it is essential to address technical debt, and how this debt accumulates.

Advanced pipeline orchestration with the circleback pattern

With multiple teams working on many projects, having a single pipeline for your software is just not enough. These projects need to be built and integrated before they can be tested and released. So how do dev teams handle this situation? Many teams approach the problem by breaking down software into smaller parts that do less, and are easier to maintain and build. This approach has resulted in the microservices architectures that are increasingly common in our industry.

Deploying a React application to Netlify

React, a front-end framework for building user interfaces, uses component-based architecture and non-opinionated design principles, making it a developer favorite. React has been widely adopted and has a large community of developers behind it. Netlify is a popular framework for hosting React applications, but it does not provide your team with the highest level of control over the deployment process. As a result, you are not able to perform important tasks like running automated tests.

Customizing the JFrog Xray Horizontal Pod Autoscaler

In cloud native computing (Kubernetes in our case), there is a requirement to automatically scale the compute resources used for performing a task. The autoscaling cloud computer strategy allows to dynamically adjust the active number of application servers and allocated resources instead of responding manually in real-time to traffic surges that necessitate more resources and instances.