Why Privacy-Safe Logging Remains One of the Hardest Problems in DevOps
As cloud-native architectures scale and regulatory pressure intensifies, organizations are finally recognizing that their logging pipelines contain sensitive. Logs fuel observability, debugging, compliance investigations, and incident response, yet they also remain one of the least governed data streams in the enterprise. Despite years of progress in DevSecOps, true privacy-safe logging, logs that remain operationally useful […]
Why Up to 70% of SRE Initiatives Stall Before They Scale — and How to Break the Plateau
Many SRE initiatives stall because organizations adopt the title without the principles. True SRE success requires leadership vision, cultural change, shared KPIs and continuous maturity measurement—not tools alone.
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.
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.
How AIOps is Revolutionizing DevOps Monitoring in the Cloud Era
As cloud-native systems grow more complex, traditional monitoring falls short. AIOps brings AI, automation, and predictive insights to DevOps—enabling real-time detection, diagnosis, and resolution across distributed environments for faster, smarter operations.
Is There Still a Difference Between DevOps and AIOps?
DevOps transformed software delivery through speed and collaboration. AIOps takes it further—adding AI-driven insight, anomaly detection, and intelligent automation. Together, they form the next evolution of IT operations: smart, adaptive, and self-healing pipelines.
DevOps Workflow: The Key Elements and Tools Involved
What does a modern DevOps workflow look like? Click to learn about the essential elements, tools, and practices involved in the effective work process.
A Modern Approach to Multi-Signal Optimization
How multi-signal optimization and metric classification help DevOps and turn telemetry chaos into actionable intelligence.
How Observability Improves User Experience and Digital Performance
Discover how observability transforms user experience by improving performance, reliability, and customer satisfaction. Learn how leading companies like Airbnb, Spotify, and Slack use observability tools such as Grafana and Clepher to boost uptime, reduce MTTR by 85%, and drive higher retention and conversion rates.
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Observability 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. The potential is transformative, turning observability from reactive alerting into proactive, intelligent operations. But with that promise comes risk. Autonomous agents can misdiagnose […]
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.
Report: Full-Stack Observability Cuts Downtime Costs
The numbers are sobering, at best. A new global survey from New Relic pegs the median cost of a high-impact IT outage at $2 million per hour (that’s roughly $33,333 a minute) with a median annual hit of $76 million. That’s not just a bad week; it’s a major operational risk. And it’s landing just […]
Honeycomb Adds Ability to Orchestrate Multiple AI Agents to Observability Platform
Honeycomb has added a Canvas framework for managing and orchestrating multiple artificial intelligence (AI) agents as they observe and query massive amounts of telemetry data. Morgante Pell, technical lead manager for engineering at Honeycomb, said Canvas is the latest extension to a series of Honeycomb Intelligence initiatives that, for example, provide access to an AI […]
OpenTelemetry Extensions to Enable Observability of AI Agents
OpenTelemetry is extending support for AI agents, enabling unified observability across apps and intelligent automation of IT tasks. Discover how Cisco and Splunk are driving this next phase of telemetry innovation.
How Engineers are Automating More with Less: Trends in DevOps Tooling
DevOps automation is shifting from complex, monolithic pipelines to lean, modular, AI-enhanced workflows—driving efficiency, cost savings, and better developer experience.