Tag: human-in-the-loop
Part 2: From Reactive to Predictive: Training LLMs on Your Incident History
Muhammad Yawar Malik | | AI in SRE, Autonomous Systems, Confidence Calibration, continuous monitoring, Failure Patterns, human-in-the-loop, incident management, Incident Prevention, machine learning, operational efficiency, Predictive Intelligence, Problem Detection, Reasoning Agents, root cause analysis, SRE, tool integrationPart 2: Discover how to harness incident history and AI to predict and prevent operational issues before they escalate, improving efficiency in Site Reliability Engineering ...
Part 1: Death of the Toil: How AI Agents Are Replacing Traditional Runbooks
Muhammad Yawar Malik | | AI agents, AI in SRE, automation, Autonomous Systems, Cost Justification, engineering efficiency, human-in-the-loop, incident management, Incident Prevention, LLM, observability, Operational Toil, Predictive Systems, Reasoning Systems, Runbooks, Safe Action Execution, SREPart one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management ...
The Agentic AI-Driven Future of Telemetry
Perry Correll | | 10x investigators, agentic telemetry, AI infrastructure, AI observability, AI reasoning, AI scalability, AI-driven operations, AI-first architecture, autonomous agents, context fusion, contextual telemetry, human-in-the-loop, KubeCon + CNC NA 2025, MELT stack, metrics events logs traces, observability platforms, OCSF, OpenTelemetry, schema-agnostic architecture, telemetry normalizationTelemetry is evolving from passive data to AI-grade fuel. Learn how agentic telemetry fuses human and machine context to power self-healing, intelligent systems ...
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Pankaj Thakkar | | agentic AI, AI audit trails, AI cost management, AI deployment controls, AI Governance, AI guardrails, AI in DevOps, AI observability safety, AI operations, AI policy validation, AI rate limiting, autonomous agents, data privacy, human-in-the-loop, KubeCon 2025, observability, OpenTelemetry, role-based access control, self-healing infrastructure, zero-trustObservability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours to minutes ...
AI Agent Onboarding is Now a Critical DevOps Function
Alexander Williams | | agent lifecycle management, agent resilience, AI agent onboarding, AI deployment best practices, AI feedback loops, AI in production, AI observability, AI security risks, autonomous AI agents, CI/CD for AI agents, DevOps and AI, DevOps ownership, digital operations, generative AI governance, guardrails for AI, human-in-the-loop, infrastructure automation, LLM-based agents, Operational Debt, scoped permissionsOnboarding AI agents is no longer optional—DevOps must treat them like new engineers, with guardrails, observability, and lifecycle management to prevent operational debt ...
Keeping Humans in the Loop: Why Human Oversight Still Matters in an AI-Driven DevOps Future
Alan Shimel | | agentic AI, AI DevOps risks, AI in software delivery, AI oversight, CI/CD Automation, devops automation, DevOps guardrails, human-AI collaboration, human-in-the-loop, responsible AIAI agents can now generate, test, deploy, and monitor code — but removing humans from the loop is dangerous. Learn why oversight, guardrails, and collaboration are essential to the future of DevOps ...
