IBM’s approach to DevOps focuses on integrating various tools and services to create a cohesive and efficient workflow for software development and operations. Key features of IBM’s DevOps infrastructure include:

1. Integrated DevOps Toolchain: IBM offers customizable and shareable templates to quickly provision an integrated toolchain, which includes IBM Cloud services, open-source tools, and third-party tools. This toolchain is designed to streamline the build, deployment, and management of applications​​.

2. Continuous Delivery: IBM supports DevOps best practices with core tools for source code management, issue tracking, CI/CD automation, and DevOps metrics. The continuous delivery service is integrated with IBM Cloud Identity and Access Management (IAM), supporting deployment to environments including IBM Cloud Kubernetes Service, Open Shift, and other public and private clouds​​.

3. Delivery Pipeline: IBM’s delivery pipeline is built on the open-source Tekton project, enabling build, test, and deployment processes with minimal human intervention. Features include pipeline-as-code, automated triggers for pipeline runs, and execution in containerized environments. These pipelines can run on shared IBM-managed workers or private workers in a user’s cluster​​.

4. Git Repositories and Issue Tracking: IBM offers Git repositories and issue tracking built on GitLab Community Edition, allowing for efficient source code management and work tracking. This includes features like merge requests, branch protection, commit combining, and project management with issue boards​​.

5. DevOps Insights: IBM provides a dashboard for a holistic understanding of applications, showing trends in builds, deployments, and test results. It also supports automated policy enforcement and quality gates based on metrics​​.

6. Infrastructure as Code (IaC): IBM enables IaC, allowing the automation of provisioning and management of IBM Cloud resources. It offers Terraform-as-a-Service to define and configure resources across various service models​​.

7. Observability Services: IBM provides tools for monitoring the performance and health of resources, including the IBM Cloud Activity Tracker with LogDNA, IBM Log Analysis with LogDNA, and IBM Cloud Monitoring with Sysdig, which help in troubleshooting, threat detection, and performance issue identification​​.

These components reflect IBM’s comprehensive approach to DevOps, aiming to enhance automation, collaboration, and efficiency in the software development lifecycle.