Practical 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
Explore 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
Explore 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
Learn 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
Discover 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
Explore 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
Part 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
Part 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
Part one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management.
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Discover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes.
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