DevOps Unpacked

If you’re putting LLMs anywhere near production ops, you need guardrails. In this episode of DevOps Unpacked we break down how AI fails in real systems (hallucinations, prompt injection, and data leakage) and what to do about it.We cover practical defences: treating prompts and retrieved text as untrusted input, using RAG safely (scoping and access control), least-privilege tool access for agents, keeping secrets out of prompts, and adding auditability + evals so your controls don’t rot over time.

AI can write code. That doesn’t mean it can run production.In Episode 3, we break down what AI actually changes in DevOps and software engineering — and what stays stubbornly human: requirements, judgement, risk, guardrails, and the messy reality of pipelines and production systems.We cover:Why “AI will replace engineers” is the wrong questionWhere AI genuinely saves time in day-to-day DevOps workWhy requirements and review matter more (not less) with AICI/CD, evidence, and the controls AI can’t shortcutThe junior vs senior impact: how teams and careers shiftChapters:00:00 AI won’t kill software engineering03:30 AI as a force multiplier07:00 Tools vs real understanding10:30 Requirements still matter14:00 Pipelines and real-world constraints18:00 Frameworks and guardrails22:30 Safe AI in production27:30 Where AI actually saves time32:30 AI in daily workflows37:00 Skills that matter more with AI41:30 Junior vs senior impact46:00 Long-term team impact50:30 Engineers aren’t going anywhereIf you work in DevOps, Platform Engineering, SRE, or you’re building software that has to pass audits and survive incidents — this one’s for you.

In this episode of DevOps Unpacked, we tackle the crucial differences between CI CD, continuous integration, and continuous delivery. 🤔 Join us as we explore how tools like Jenkins and GitHub Actions enhance the CI CD pipeline, ensuring smooth deployments. Don't miss out on this essential guide to mastering devops concepts! 🚀

The conversation delves into the essence of DevOps as a culture and the role of a DevOps engineer within that culture. It explores the origins, evolution, and practical implications of DevOps, addressing misconceptions and variations in DevOps engineer roles. The discussion also covers CI/CD, GitHub Actions, Jenkins, testing, and the expanding scope of DevOps to include various disciplines. Additionally, it provides insights into the path to becoming a DevOps engineer and the skills and traits required for success in this role.TakeawaysDevOps is a cultureDevOps engineer is a role within the DevOps cultureChapters00:00 Introduction to DevOps and Misconceptions06:34 The Problems DevOps Seeks to Solve12:38 DevOps as a Culture and Its Practical Implications21:19 Understanding GitHub Actions and Jenkins in DevOps31:19 Evolution of Testing in DevOps36:36 Expanding Scope of DevOps: Incorporating Various Disciplines44:04 Skills and Traits of a Good DevOps Engineer