We get it, installing Artifactory and the JFrog DevOps Platform on Kubernetes can be daunting. As easy as we’ve sought to make it with our official JFrog installation Helm charts, there are a lot of decisions to be made. That’s meant to give you the widest possible choice for how to best fit your JFrog installation to your infrastructure. But choice can be overwhelming, too.

A typical modern DevOps pipeline includes eight major stages, and unfortunately, a release bottleneck can appear at any point: These may slow down productivity and limit a company’s ability to progress. This could damage their reputation, especially if a bug fix needs to be immediately deployed into production. This article will cover three key ways using data gathered from your DevOps pipeline can help you find and alleviate bottlenecks in your DevOps pipeline.

Codecov is a code analysis tool with which users can group, merge, archive, and compare coverage reports. Code coverage describes which lines of code were executed by the test suite and which ones were not. However, this is not to be confused with a testing tool. Codecov does not run your tests, that is the job of your testing tools. The analysis that Codecov provides will classify code in either of the following states: Additionally, In this tutorial, we will.

What would you say if I would tell you that you can be as productive with the cheapest laptop as with the one you already have? Would you believe me if I would say that there is no need for you to install an IDE, compilers, CLIs, Docker, and whatever else you might have on your laptop? How about having a full development environment created whenever you need it instead of dealing with virtual machines and whatever else might be fulfilling your development needs?

Continuous Deployment (CD) requires setting up your infrastructure and automation to update your solution with the latest code change from the main branch. That’s what we call “Liquid Software”. Full automation makes your deployment seamless, less error prone, faster and it makes the feedback loop shorter because you can now deploy after each change. Achieving continuous deployment requires the following elements.

Bitbucket Pipelines now allows steps with a manual trigger to be used in parallel groups, satisfying one of the highest voted feature requests. This feature provides more flexibility in Pipelines, allowing teams to configure pipelines with multiple options and then only run the steps they actually need to run, at the time they want. For example you can choose which environments should be deployed for individual developers, giving them different environments to test and do their work.

Continuous Integration (CI), Continuous Delivery (CD) and Continuous Deployment (CD) are three processes that automate integrating software development into a product and deploying the modified product to test and production environments.

Ownership isn’t for everyone — building and maintaining an abode is a lot of trouble when all you need is a place to hang your hat. That can also be true when you’re a creator of Helm charts. You’ll certainly want the benefits of a Helm chart repository to store, version, and share your charts for deploying applications to Kubernetes.

By industrializing software delivery, DevOps has the potential to transform IT in the same way that Henry Ford transformed manufacturing Back in 1913, Henry Ford started a manufacturing revolution. On December 1, the first automotive assembly line heralded the advent of mass production and reduced the time required to build a Model T to only 2 ½ hours. That allowed Ford to slash manufacturing costs as well as the price of his iconic automobile.

One of the most critical activities for a developer is reviewing code. Code review helps developers fix bugs before shipping, learn about the codebase, and pass along a team’s values to new (and longstanding) developers. To double down on these benefits, we’re releasing a new tool to facilitate communication between pull request reviewers and authors: PR Reviewer Status. Until now, Bitbucket has only had one reviewer status: Approved.