Operations | Monitoring | ITSM | DevOps | Cloud

Autonomous IT only works when observability gives it the context to act with confidence. On any given day, a mid-size enterprise generates tens of thousands of alerts across on-prem infrastructure, multiple clouds, SaaS tools, Internet dependencies, and AI workloads. Most of them don’t need a human. A few of them do. Telling the difference, fast enough to matter, is exactly where IT teams are losing ground.

If you're running Databricks workloads, you've probably asked yourself these types of questions: How much is this costing me? Why did that job fail last night? Why are my dashboard queries suddenly slow? We've been there, too. Databricks is fantastic for data engineering, ML, and analytics. But once you start running jobs, pipelines, and SQL queries at scale, you need a way to keep tabs on what's happening. That's why we built the Databricks integration for Grafana Cloud.

Modern site reliability engineering challenges stem from the difficult requirement of confirming why complex systems fail in ways staging cannot replicate. While observability tools signal failures, and AI SREs reason over data, they leave observability gaps regarding the actual state of running code. By utilizing runtime context, teams capture live execution data to accelerate production debugging, resolving incidents in minutes without requiring manual redeploy cycles.

If you’re running Netdata collectors that connect to databases, APIs, or other authenticated services, there’s a good chance you have passwords sitting in plain-text configuration files right now. It works, but it’s the kind of thing that makes security teams nervous and makes credential rotation painful. Every password change means editing config files and restarting collectors.

Affordable hosting has always been a puzzle. Heroku made deploying Rails apps simple, but with Salesforce at the helm, active development has stalled. Many developers are left wondering what comes next, locked into a platform that is no longer moving forward. Chris, the founder of GoRails, felt that same frustration. That is why he built Hatchbox. Hatchbox handles your deployments, runs on servers you own, and keeps costs predictable. No dyno management, no add-on sprawl.

Today at Hannover Messe, InfluxData is announcing a strategic partnership with Litmus to address one of the most persistent challenges in industrial data: getting reliable, contextualized telemetry from the shop floor into production systems. Litmus bridges the gap between OT systems and modern IT infrastructure, while InfluxDB serves as the industrial data hub, giving organizations both real-time operational visibility and enterprise-scale historical analysis in a unified architecture.

Are you writing agentic applications, but aren’t sure what the agents are doing? Finding out too late that you've blown the budget with super expensive models? Not sure where the agents are failing, and feeling a loss of control? Could they do better? Observability is the visibility you need to get the job done. Sending telemetry to Honeycomb explains what your agents are actually doing.

We are excited to announce that the Opslogix VMware Management Pack for SCOM (V.26.3.4471.0) now officially supports VMware v9.