MLOps.community Insights from Cleric: Building an Autonomous AI SRE // Willem Pienaar // #290
Feb 11, 2025
Willem Pienaar, Co-Founder and CTO of Cleric, is on a mission to revolutionize Site Reliability Engineering with autonomous AI solutions. He shares insights into building knowledge graphs for efficient root cause analysis and discusses the intricate challenges of implementing AI in production environments. Willem emphasizes the need for clear communication and strategies to foster trust among engineering teams hesitant to change. Dive into the fascinating intersection of AI and human collaboration in troubleshooting tech issues and enhancing operational resilience!
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Knowledge Graph Complexity
- Willem Pienaar showcased a knowledge graph built for a relatively small e-commerce demo stack with only 12-13 services.
- Even this small system generated a complex graph, highlighting the exponential growth of complexity in larger enterprise environments.
Knowledge Graph Fuzziness
- Knowledge graphs, while crucial for efficient root cause analysis, become outdated quickly due to dynamic system changes.
- AI agents must handle this 'fuzziness' to effectively diagnose production issues.
Budgeting for Knowledge Graph Building
- For background knowledge graph building, prioritize efficient models over expensive, highly accurate ones due to data volume.
- Set a daily budget and run the process up to that limit to manage costs.