Operations | Monitoring | ITSM | DevOps | Cloud

The rise of agentic AI in production: Can observability systems run themselves?

Sometimes the biggest shifts in technology aren’t about collecting more data — they’re about who (or what) gets to act on it. In this episode of “Grafana’s Big Tent” podcast, host Tom Wilkie, Grafana Labs CTO, is joined by Spiros Xanthos, Founder & CEO of Resolve AI, Manoj Acharya, VP of Engineering for Observability at Grafana Labs, and Cyril Tovena, Principal Engineer on the Grafana Assistant team, to discuss agentic AI in observability.

The Grafana Labs operating system: Introducing our Guiding Principles

Matt Toback is the VP of Culture at Grafana Labs. We published our original company values back in December 2020. We were a young company, growing fast, and fully remote. Our values at the time were aspirational, and painted a picture of the kind of company we wanted to be. Those values did real work and they mattered. You could hear them used in everyday conversations, and they helped get us to where we are today. But growth has a way of revealing gaps.

This Month in Datadog - February 2026

On the first episode of This Month in Datadog in 2026, Jeremy covers how you can protect agentic AI applications with AI Guard, stay up to date and collaborate during incidents with five Incident Management releases, and ship software with confidence using Feature Flags. Later in the episode, Kevin spotlights Datadog Data Observability, which enables you to detect data quality and pipeline issues early.

From Passive Records to Active Care: Activating the EHR in Real time in Israel's hospitals

Israel’s healthcare system is widely recognized as one of the most digitally advanced in the world. Electronic health records are deeply embedded across hospitals, and platforms like Chameleon sit at the center of clinical operations. Patient data is captured, structured and accessible at nearly every stage of care delivery. But digital maturity alone does not guarantee operational efficiency.

Securing 80,000 transactions per second at Infobip with HAProxy Enterprise WAF

The average cost of a security breach reached nearly $4.4 million in 2025, according to the publication Cost of Data Breach Report. To proactively address this substantial financial and security risk, Infobip, a global cloud communications platform, used HAProxy Enterprise to implement a security and uptime framework that is both highly modular and highly performant.

Engineering Metrics Success: Communicate Speed, Quality, and Business Outcomes | Harness Blog

Engineering metrics tools won’t solve problems if there isn’t communication about expectations in place. Learn how leaders are connecting engineering metrics with business outcomes. Engineering organizations are waking up to something that used to be optional: measurement. Not vanity dashboards. Not a quarterly “engineering metrics review” that no one prepares for. Real measurement that connects delivery speed, quality, and reliability to business outcomes and decision-making.

Why Evidence-Backed RCA in Edwin AI Starts With Logs

A step-by-step look at how Edwin AI uses native LogicMonitor logs, topology, and context to turn root cause analysis from alert-driven inference into evidence-backed investigation. Most root cause analysis today starts with alerts and ends with explanations that sound reasonable but can’t be verified. An alert is fed into a language model, and the output looks like an answer. It often isn’t.

8 Years of Building Obkio: From Network Monitoring to Observability & Network Diagnostics

In 2016, Obkio was just an idea, but it was an idea born from a real problem. Before writing a single line of code, we conducted a market audit to understand why Network Performance Monitoring solutions weren't more mature. We interviewed banks, manufacturing companies, and service providers, and the answer was unanimous: the NPM tools on the market were too complex, and most businesses simply didn't have the internal resources to dedicate full-time to managing them.