The latest News and Information on DevOps, CI/CD, Automation and related technologies.
As a developer, you’re going to be making changes to a codebase. That’s why, as Harold Abelson put it, “Programs must be written for people to read.” If a codebase is not clearly formatted, debugging becomes more difficult than it should be. Though usually overlooked, little changes like reformatting and proper indentation of your code can obviously differentiate a professional developer’s code base from someone just learning.
Kubeflow is the open-source machine learning toolkit on top of Kubernetes. Kubeflow translates steps in your data science workflow into Kubernetes jobs, providing the cloud-native interface for your ML libraries, frameworks, pipelines and notebooks. Read more about Kubeflow
Datadog CI Visibility, now available in beta, provides critical visibility into your organization’s CI/CD workflows. CI Visibility complements Datadog’s turn-key CI provider integrations and the integration of synthetic tests in CI pipelines to give you deep insight into key pipeline metrics and help you identify issues with your builds and testing.
As part of your monitoring and testing strategy, you may run tests on different types of applications that are not publicly available—from local versions of production-level websites to internal applications that directly support your employees. Testing each one requires leveraging tools that allow you to verify functionality across a wide range of devices, browsers, and workflows while maintaining a secure environment.
Break Things on Purpose is a podcast for all-things Chaos Engineering. In this episode of the Break Things on Purpose podcast, we speak with Paul Marsicovetere, Senior Cloud Infrastructure Engineer at Formidable.