The real cost of poor observability isn’t just downtime; it’s lost trust, wasted engineering hours, and the strain of constant firefighting. But most teams are still working across fragmented monitoring tools, juggling endless alerts, dashboards, and escalation systems that barely talk to one another, which acts like chaos disguised as control. The result is alert […]
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.
When Systems Work But No One Wakes Up: The Failure Between Monitoring and Human Response
At 2:07 a.m., a core production node went down. CPU usage spiked, latency ballooned and requests started timing out across the cluster. Monitoring tools caught it instantly as dashboards glowed red, alert rules fired and incident payloads were dutifully sent downstream. Everything functioned exactly as designed. Except no one responded. The alert reached every configured […]
New Relic AWS Integrations Go Deep on Root Cause Observability Analysis
New Relic expands its observability platform with deep AWS integrations to speed incident resolution and support AI-driven DevOps workflows.
From What Now to What’s Next: How AI Is Closing the Gap Between Detection and Resolution
Modern DevOps teams face outages driven by complex dependencies and AI-enabled systems; success now depends on moving from reactive monitoring to prescriptive, AI-assisted incident resolution that shortens MTTI and MTTR.
What I’m Thankful for in DevOps This Year: Living Through Interesting Times
Alan reflects on a chaotic yet inspiring year in DevOps, highlighting the rise of AI in engineering, the maturation of DevSecOps, the evolution of hybrid work culture, the surge of platform engineering and IDPs, and the continued strength and inclusivity of the DevOps community — while acknowledging the talent crunch, tool sprawl and security theater that still challenge the industry.
SRE in the Age of AI: What Reliability Looks Like When Systems Learn
As AI and ML become core production components, SRE is evolving from managing deterministic systems to ensuring the reliability of dynamic, learning systems. New metrics, workflows, guardrails and cross-disciplinary practices are redefining reliability in the age of adaptive software.
A Modern Approach to Multi-Signal Optimization
How multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence.
Secure By Design, Secure by Default
“Shift left” alone won’t secure software. Real security must be embedded continuously across design, development, and production—not just moved earlier.
When Metrics Overwhelm: How SREs Help Engineers Reclaim Focus
Observability promised insight but delivered alert fatigue. Learn how SREs are redefining observability to empower developers and restore real engineering value.
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