DevOps

Learn how to modernize mainframe applications with IBM watsonx Code Assistant for Z, generative AI, COBOL modernization, and Java interoperability.

Boost mainframe DevOps with AI tools such as watsonx Code Assistant for Z and IBM Test Accelerator for Z for COBOL refactoring, Java transformation, automated testing, and z/OS modernization.

Automate IBM Cloud resource management across enterprise accounts using APIs, IAM templates, service IDs, and Trusted Profiles for full control.

By following the steps in this tutorial, you can deploy your application on Code Engine, for both initial and subsequent deployments.

Microservices are definitely the hot new thing in commercial application development. The term microservice has replaced Agile, DevOps, and RESTful as the hot new buzzword that all resumes and conference talks have to feature. But microservices are more than just a buzzword or a passing fad. In fact, they are the evolution of all of these previous concepts and an approach that has begun to show the promise of cutting through a number of long-standing issues in application development.

Open source tools for Kubernetes to run workflows, manage clusters, and do GitOps right.

Galasa, an Open Mainframe Project, enables deep integration testing across platforms and technologies within a DevOps pipeline. Galasa supports repeatable, reliable, agile testing at scale across your enterprise.

Accelerating your application modernization journey

In spite of drawbacks, microservices offer the flexibility and scalability that developers need to rapidly develop and update their applications. The trick is knowing how to use microservices and containers together effectively. In this article, we introduce the concepts of microservices and containers and show you how to use them together.

Because developers are increasingly responsible for more of the application lifecycle thanks to modern DevOps best practices, teams must instrument their systems to be highly observable. The combination of Instana, Turbonomic, and IBM Cloud Pak for AIOps provides an end-to-end set of observability capabilities, making it possible to automate large parts of the incident-management process, reducing costs, and improving uptime and availability for your deployments.