Agentic AI for DevOps Engineers: CI/CD and Operations Workflows
Workflows: Agentic AI for DevOps Engineers is a practical guide to applying AI agents and LLMs to CI/CD, infrastructure automation, observability, incident response, and cloud operations. Its described coverage also includes testing, troubleshooting, governance, security, and human oversight, making it relevant to engineers weighing automation against operational controls.
At a glance
- Covers AI-assisted CI/CD, infrastructure as code, cloud operations, and platform engineering.
- Describes applications for CI/CD failure triage, pull request quality assessment, observability, and incident response.
- Includes discussion of governance, security, testing, troubleshooting, and human oversight.
Reference price: $44.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- The stated scope connects agentic AI with practical DevOps areas, from delivery pipelines to operations and incident handling.
- The description calls out controls for risks such as data leakage and hallucinated code, not only automation workflows.
- Named topics include GitHub, Azure DevOps, MCP, memory, and multi-agent incident response.
Technical specifications
9 specifications| Publisher | Packt Publishing |
|---|---|
| Edition | 1st |
| Language | English |
| Print length | 270 pages |
| Publication date | July 30, 2026 |
| ISBN-13 | 978-1808083570 |
| ISBN-10 | 1808083571 |
| Weight listed | 1.03 pounds |
|---|---|
| Dimensions | 7.5 x 0.61 x 9.25 inches |
Who is it for?
A good fit for
- DevOps and platform engineers exploring AI agents in delivery and operations workflows.
- SREs, cloud architects, automation specialists, and software developers interested in governed AI-assisted DevOps.
Less suited to
- Readers seeking a general introduction to DevOps rather than a guide focused on AI integration.
- Buyers who need verified implementation results or detailed compatibility requirements for a specific toolchain, neither of which is established by the listing.
Customer reviews on Amazon
- 5 stars
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The supplied evidence contains aggregate ratings but no written customer feedback. The ratings are uniformly five-star in a small sample, which is a positive signal but does not explain what readers valued or establish how well the book's DevOps examples work in practice. Consider the stated subject coverage and your preferred toolchain when deciding whether it fits.
Frequently asked questions
What DevOps topics does the book cover?
The listing describes AI-agent workflows for CI/CD, infrastructure automation, observability, incident response, cloud operations, and platform engineering.
Does it address risk controls?
Yes. The description highlights testing, troubleshooting, security, governance, human oversight, and controls for risks such as data leakage and hallucinated code.
Who is the book aimed at?
The stated audience includes DevOps and platform engineers, SREs, cloud architects, automation specialists, and software developers.
What physical details are listed?
The listing gives a 270-page print length, English language, 1st edition, and a listed weight of 1.03 pounds.
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