New product features - default tasks, in-progress builds & more
Over the last few weeks, we’ve launched several new features like support for Docker BuildKit, the ability to set default PR tasks, and fixed a few bugs. Here are the updates.
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Announcing the Open Beta for Linux Shell Runners in Bitbucket Pipelines
We are happy to announce that Bitbucket Pipelines now supports non-containerized Linux Shell self-hosted runners. This is currently in beta. You can now create a self-hosted runner and run it on your Linux infrastructure without container restrictions. Since it is your infrastructure, you will not be charged for the build minutes used by your self-hosted runner.
Self-hosted versus cloud-based mobile app testing
Testing is a vital part of the mobile app development process. Your team can use testing to evaluate the quality, security, and reliability of mobile apps before releasing them to your users. Users who expect their applications to be highly performant and intuitive. There are two ways DevOps teams can perform testing for mobile apps: on-premise (also called self-hosted) or in the cloud. But which of these is the best option for your team?
#DevOpsSpeakeasy at #KubeCon EU 2022 with Andrea Frittoli on CDEvents
In this interview, Andrea Frittoli, OpenSource Developer Advocate for IBM, speaks about the CDEvents project within the Continuous Delivery Foundation.
Automate AWS Lambda function deployments to AWS CDK
When you build a cloud-based application, you can choose to deploy the resources using the GUI (Graphical User Interface) or CLI (Command Line Interface) provided by the cloud provider. This approach can work well with just a handful of resources, but as the complexity of your application increases, it can become difficult to manage the infrastructure manually.
Integrating your GitLab CI/CD pipelines into Mattermost
Let's learn how to set up Mattermost to manage your GitLab CI/CD pipelines.
What is a self-hosted runner?
Self-hosted runner enables you to use your own infrastructure for running jobs. If your team has unique security or compute requirements, you can use self-hosted runner to build, test, and deploy your applications from your own infrastructure.
How Sleuth measures Change Lead Time
Change Lead Time can be considered the most insightful of the four DORA metrics. But how do you measure it most accurately? In this video, Don Brown shows you how Sleuth measures Change Lead Time for code changes and how Sleuth breaks down that time into multiple buckets for the most detailed insight on what's slowing your team down. Check out these videos on how Sleuth measures other DORA metrics.
How Sleuth measures Change Failure Rate
Before you can measure the DORA metric for Change Failure Rate, you need to define what failure means. In this video, Sleuth's CTO Don Brown explains how Sleuth defines and measures Change Failure Rate, and how it ties failure back to deployments. Check out these videos on how Sleuth measures other DORA metrics: Give Sleuth a try and see why it's a deploy-based Accelerate / DORA metrics tracker both managers and developers love.
How Sleuth measures Mean Time to Recovery (MTTR)
The DORA metric Mean Time to Recovery (MTTR) tracks how long on average your failure spans are. In this video, Sleuth CTO Don Brown explains how Sleuth calculates this measurement, which gives you insight on how quickly your team can respond to and recover from failure. Check out these videos on how Sleuth measures other DORA metrics: Give Sleuth a try and see why it's a deploy-based Accelerate / DORA metrics tracker both managers and developers love.