As a cloud and infrastructure engineer, I've noticed the increasing automation of routine DevOps tasks by AI tools such as log analysis and incident response. I'm looking to gather insights from those currently working in the field: Are the roles of DevOps and Cloud professionals in India genuinely at risk due to these changes, or is it just a lot of hype? Also, is it worthwhile to upskill towards areas like MLOps, AIOps, or Platform Engineering, or are these markets saturated? What strategies are you using to stay relevant—like certifications, side projects, or pivoting your focus? I'm particularly interested in specific examples from those of you already working in these roles in India. Avoiding typical advice about learning AI, I'd love concrete experiences and strategies.
2 Answers
I've observed a shift towards more strategic roles rather than just operations. We're finding it easier to implement self-service tools with guides that AI can interpret. However, I'm concerned that as we adapt, the expectations during performance reviews will become more stringent, making it harder to earn bonuses over time.
I’m not in India, but my experience shows that AI can really change how we work, no matter the location. For instance, I rolled out Codex in a container with a read-only role on GCP, and during a recent incident, I used it to analyze logs, correlate them with code, and generate a complete root cause analysis in just 15 minutes! This was a game changer, as it bridged the gap between Development and Operations seamlessly. AI is definitely redefining our roles in DevOps and how we handle tasks.
Can you provide more details on your setup? Specifically, how does your agent read logs? I'd love to avoid the trial and error!
That sounds promising! How can someone like me secure a job in this evolving landscape?