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.
Modular & Shift-Left Observability for Modern DevOps Pipelines
Shift-left observability makes monitoring a modular, built-in part of DevOps—improving reliability, cost efficiency, and visibility across modern cloud-native systems.
Observability: The Real Killer App
My friends, I’ve been around long enough in the world of DevOps, cybersecurity and cloud-native to see the “next big thing” fade into “just another dashboard.” But today I’m here to tell you: observability isn’t just another tool—it might very well be the killer app of our era. The Rise of Observability Remember when “monitoring” […]
AlertD Emerges to Apply AI to Observing AWS Environments
AlertD this week emerged from stealth to launch a DevOps platform that leverages generative artificial intelligence (AI) to provide deeper insights into Amazon Web Services (AWS) environments by automatically generating dashboards that make it possible to more easily discover and visualize issues. Fresh off raising $3 million in initial funding, AlertD CEO Geoff Hendrey said […]
MyDecisive Open Sources Platform for Processing OpenTelemetry Data
By open-sourcing its Smart Telemetry Hub, MyDecisive pushes for an evolution of OpenTelemetry—adding local, memory-based filtering to shrink telemetry volume and help DevOps teams lower observability costs and improve MTTR.
The Deterministic Future of AI-Generated Code
AI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-driven observability are becoming essential to code review and CI in the AI era.
Observability is the Next Frontier of DevOps and Cloud Security
In today’s cloud-native, hybrid-multi-cloud world, DevOps teams face a new paradox. They can deploy code faster than ever, but their visibility often lags. Traditional monitoring tools might reveal that something broke, but not why it happened, when it started, or how it affects the business. For organizations that value resilience, agility, and trust, observability can […]
Chronosphere Adds AI Remediation Guidance to Observability Platform
Chronosphere this week previewed artificial intelligence (AI) capabilities that are embedded into its observability platform that, in addition to helping identify the root cause of an issue, also provides remediation suggestions. Additionally, the company made available a Model Context Protocol (MCP) Server through which AI coding tools and agents will be able to query observability […]
Why Traditional SLOs Are Failing at Hyperscale: Building Context-Aware Reliability Contracts
Discover how context-aware reliability contracts (CARC) redefine SLOs for hyperscale systems—optimizing uptime, reducing infrastructure spend by 33%, and aligning reliability with business value across user tiers, regions, and workloads.
Why Your SLO Dashboard is Lying: Moving Beyond Vanity Metrics in Production
Discover how redefining service level objectives (SLOs) around business impact — not vanity uptime metrics — reduced incidents by 75% and saved $2.3M in lost revenue.
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