Welcome to the Parallaxis Blog
Explore our latest thoughts on all things related to AI, Machine Learning, and the importance of data .
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SRE Wasn't Invited to the AI Party
There is a significant disconnect between the push for AI adoption in leadership and its practical application within Site Reliability Engineering (SRE) and infrastructure teams. While developers benefit from AI tools like Copilot for code completion and testing, SRE teams, whose work involves declaring desired states, orchestrating systems, and troubleshooting unique infrastructure challenges, find current AI tools largely unhelpful.
AI could make a difference in SRE by acting as intelligent agents that correlate logs, analyze metrics, and identify patterns during incident response, thereby reducing Mean Time To Resolution (MTTR) and demonstrating tangible business value, rather than focusing on traditional code-centric productivity metrics.
The Velocity Trap
The AI revolution is sparking a familiar refrain: "How do I know that developers are being more productive?" Because Velocity is easy to measure, it is the metric I hear discussed most often. Velocity may be easier, but value, while more difficult, is the only thing that matters.