Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

How to Ensure AI-Generated Code is Reliable with Runtime Context

TLDR: AI coding assistants have sped up code delivery, but created a validation gap. Historic telemetry and static analysis cannot predict the behavior of unfamiliar, high-volume code. Lightrun’s Runtime Context MCP closes that gap, allowing AI assistants to verify behavior before it breaks, and resolve issues in real time.

5 Observability & AI Trends Making Way for an Autonomous IT Reality in 2026

IT operations are changing faster than most people realize, making autonomous IT a 2026 reality, not a distant vision. Your team monitors tens of thousands of metrics, ingests terabytes of logs, and generates thousands of alerts daily. And somehow, you still find out about outages from customers before you see them in your tools. That gap between having visibility and actually understanding what’s happening has become the central problem.

Fair usage limits: a safer way to scale observability

For the past several years, Coralogix customers have used the platform to ingest, process, and analyze large volumes of observability data without the presence of artificial barriers or unexpected constraints. This flexibility has enabled teams to experiment freely, evolve their architectures, and scale smoothly alongside their systems.

2026 observability trends and predictions from Grafana Labs: unified, intelligent, and open

After a decade of dashboards, alerts, and ever-expanding telemetry pipelines, observability is changing. No longer just the domain of engineering, the most innovative organizations are extending observability to all areas of the business to better understand system behavior, emerging risks, and customer impact. At the same time, rising cloud costs and increasing complexity are forcing organizations to be more intentional about what they observe and why.

From Observability to Visibility: Why Tech Teams Should Treat Photos Like Production Assets

Modern operations is obsessed with one word: visibility. We instrument services, centralize logs, trace requests, and tune alerts because what we cannot see, we cannot reliably improve. The same pattern shows up outside the stack, in a place most teams ignore until it hurts: how people show up online. If you work in DevOps, SRE, ITSM, platform engineering, or cloud, you already know the downstream cost of "good enough." A slightly messy dashboard becomes a slow incident response. A vague runbook becomes tribal knowledge. A weak alert strategy becomes pager fatigue.

EP #3: Cloud, Kubernetes, and the Evolution of DevOps - The Open Source Observability Podcast

Kris Buytaert is the Co-founder of Inuits, O11y, and ‘DevOps Days,’ an internationally-attended series of DevOps events. He is a passionate advocate of Free and Open Source Software, and is accredited by the community as being a founding instigator of the DevOps movement. In this episode we trace the history of the DevOps movement from its intersection with open source and Agile, through the evolution of Cloud technologies and tools such Docker and Kubernetes, to present day best practices for CI/CD, monitoring, and observability.