Tag: incident management
Automated Diagnosis Isn’t Automated Understanding: What Postmortems Teach Us About Building Trustworthy Incident AI
Jyostna Seelam | | AI incident response, AI observability, AI reliability, AIOps, alert correlation, automated incident response, causal reasoning, dependency graphs, devops, Engineering leadership, human-in-the-loop, incident diagnosis, incident management, LLM operations, non-deterministic systems, on-call engineering, postmortems, RAG systems, root cause analysis, SREAI incident tools can reduce alert noise, but real root-cause diagnosis requires causal reasoning, live dependency context, uncertainty handling and strong postmortem data ...
Beyond Log Search: What We Learned Building a RAG-Based Incident Diagnosis System
Abhimanyu Garg | | AI for SRE, AI hallucinations, AI incident diagnosis, AIOps, devops, devops automation, FAISS, incident management, incident remediation, incident response, knowledge management, knowledge retrieval, LLM grounding, LLM incident response, observability, postmortems, production AI, RAG AIOps, re-ranking, retrieval-augmented generation, root cause analysis, Runbooks, semantic search, SREA RAG-based AIOps framework can cut incident diagnosis time by grounding LLM reasoning in real runbooks, tickets and postmortems, improving root-cause accuracy while giving SREs source-backed answers they can trust ...
Reducing MTTR: A Practical Guide to Correlating Incidents with AIOps
Neel Shah | | AI for SRE, AI observability, AI-driven incident correlation, Aiden AI Copilot, Aiden for SRE, AIOps, alert correlation, alert fatigue, alert storms, automated remediation, automated root cause analysis, devops, Distributed Tracing, grafana, incident correlation, incident management, incident response, Jaeger, Loki, mean time to resolution, metrics logs traces, mttr, observability, ObserveNow, on-call automation, pattern-based correlation, Prometheus, root cause analysis, service dependency mapping, SRE automation, telemetry correlation, topology-aware correlationAI-driven incident correlation helps SRE and DevOps teams reduce alert noise, identify root causes faster and improve MTTR by connecting related metrics, logs and traces ...
On-Call Rotation Best Practices: Reducing Burnout and Improving Response
Neel Shah | | alert fatigue, alert hygiene, automated remediation, burnout prevention, incident management, incident postmortem, mttr, observability, on‑call best practices, on‑call compensation, on‑call metrics, OpsGenie, pagerduty, platform engineering, rotation models, runbook automation, Runbooks, shadow rotation, SREPractical SRE on‑call guide covering rotation models, alert hygiene, runbooks, metrics, compensation, shadowing, and automation to cut pager load and prevent engineer burnout ...
Context Engineering is the Key to Unlocking AI Agents in DevOps
Abhijit Ubale | | AI agents, automation, context engineering, context management, data governance, devops, incident management, kubernetes, memory architectures., Model Context Protocol, observability, operational complexity, performance optimization, production-grade agents, Productivity, scaling AI, selective context injection, structured memory, tool integration, workflow efficiencyExplore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability ...
Your AI Agents Have a Blind Spot: What DevOps Teams Need to Know About Cross-LLM Security
Arun Sanna | | AI agents, AI infrastructure, Behavioral Monitoring, Cross-LLM Detection, Cybersecurity, devops, DevOps pipelines, incident management, Model-Aware Detection, Multi-LLM Environments, security best practices, Security Gaps, supply chain security, threat detection, vulnerability managementExplore the challenges of AI agents in DevOps pipelines, highlighting the importance of model-aware detection to improve security and reduce vulnerabilities ...
(Almost) Seven Signs That Your JavaScript Project is Legacy
Artem Barmin | | Code Assessment, code quality, Component Architecture, Engineering Practices., ES6 Syntax, incident management, jQuery Usage, Legacy JavaScript, Modern JavaScript, Outdated Dependencies, Runbooks, software development, software modernization, testing strategy, web developmentLearn how to identify legacy JavaScript projects by examining outdated practices, architectural choices, and testing strategies that can hinder development ...
Security Controls That Slow Teams Are Usually Poorly Designed
Venkata Nedunoori | | Approval Processes, automation, continuous change, devops, Friction Reduction, Gates vs. Guardrails, Human Oversight, incident management, Metrics for Success, operational efficiency, Policy Compliance., risk management, Security Controls, Security Workflow, Trust in SecurityDiscover strategies to enhance security controls in DevOps, emphasizing the shift from gates to guardrails and the importance of designing around real workflows ...
Lessons from 2025: The Year “Agent Mitigation” Became a Thing
Abigail Wall | | Agent Mitigation, AI agents, AI Best Practices, AI security, cloud infrastructure, Continuous Evaluation, Data Exfiltration, Environment Orchestration, Incident Analysis, incident management, incident response, Mitigation Strategies., Public APIs, reliability engineering, risk management, Security ControlsExplore the emergence of agent mitigation as a formal discipline in response to 2025's AI failures, highlighting best practices for secure and reliable AI agent deployment ...
Part 3: The Zero-Touch Infrastructure: Architecting Systems That Fix Themselves
Muhammad Yawar Malik | | AI integration, Automated Resolution, Autonomous SRE, Cross-Organization Learning, Human Oversight, incident management, Incident Prevention, infrastructure automation, operational efficiency, performance metrics, Predictive Architecture, Reasoning Agents, self-healing systems, SRE tools, system reliabilityPart 3: Discover how autonomous SRE transforms incident management and system reliability, enabling self-healing systems that reduce reliance on human intervention ...
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 ...
