Book Image

SAFe® for DevOps Practitioners

By : Robert Wen
Book Image

SAFe® for DevOps Practitioners

By: Robert Wen

Overview of this book

Product development and release faces overlapping challenges due to the combined pressure of delivering high-quality products in shorter time-to-market cycles, along with maintaining proper operation and ensuring security in a complex high-tech environment. This calls for new ways of overcoming these challenges from design to development, to release, and beyond. SAFe® for DevOps Practitioners helps you use a DevOps approach with the Scaled Agile Framework and details how value streams help you resolve these challenges using examples and use cases. The book begins by explaining how the CALMR approach makes DevOps effective in resolving product development roadblocks. Next, you’ll learn to apply value stream management to establish a value stream that enables product development flow, measure its effectiveness through appropriate feedback loops, and find ways of improving it. Finally, you’ll get to grips with implementing a continuous delivery pipeline that optimizes the value stream through four phases during release on demand. This book complements the latest SAFe DevOps courses, and you’ll find it useful while studying for the SAFe DevOps Practitioner (SDP) certification. By the end of this DevOps book, you’ll have gained a clear understanding of how to achieve continuous execution and release on demand using DevOps and SAFe.
Table of Contents (21 chapters)
Free Chapter
2
Part 1 Approach – A Look at DevOps and SAFe® through CALMR
8
Part 2:Implement – Moving Toward Value Streams
12
Part 3:Optimize – Enabling a Continuous Delivery Pipeline

New technologies in DevOps

DevOps today has expanded beyond what was originally envisioned in 2009, in part due to advances in technology that encouraged deployment into cloud-native environments. Advances today promise to add new capabilities never imagined.

The technologies we will examine for changing DevOps come from both refinements in deploying to cloud-native environments and applications on exciting new technology. We will take a look at these technology-based DevOps trends: AIOps and GitOps.

Let’s start out by looking to the future with AIOps.

AIOps

We discussed in the previous section the rise of the use of AI to create applications that can learn from the large amounts of data presented to AI models. One area that can benefit from improved insights based on large amounts of data may be product development that uses a DevOps approach and collects the data through full-stack telemetry. This is different from our previous discussions of DataOps or ModelOps...