Operations | Monitoring | ITSM | DevOps | Cloud

Dan Giordano and Alberto Gomez walk through the new features released in the first half of 2025.

Some sources simply do not generate data-rich logs. Retail endpoints that are older or run on proprietary services, for example, very often produce logs without the kinds of data that are needed to perform useful business analytics. So, what can you do?

Flyway’s add command creates an empty migration file of the required type, with the correct name and version number, and saves it in the right folder—ready for use. Why is this so useful? Automation! Tonie and Tony investigate.

For the second year in a row, Grafana Labs has been named a Leader in the Gartner Magic Quadrant for Observability Platforms — and this year, we’re proud to be recognized as the furthest in Completeness of Vision. In this video, Grafana Labs CTO Tom Wilkie shares what this recognition means, why our scores for execution and vision both improved, and how it reflects years of building a truly open, composable observability stack.

Spend less time analyzing data and more time driving innovation with cutting-edge decision intelligence. Experience Analytics Plus, ManageEngine's AI-powered unified analytics platform today!

Altinity, Inc. Developer Advocate Josh Lee walks us from an '80s IBM to a present day where columnar formats like and querying tools like Iceberg are often used to manage data.

Coroot was designed to solve the problem of time-consuming root cause analysis. It handles the full observability journey - from collecting telemetry automatically with zero code setup (thanks, eBPF!) to simplifying the role of SREs and DevOps everywhere with instant root cause analysis powered by AI. We also strongly believe that simple observability should be an innovation everyone can afford to benefit from: which is why our software is open source!

When AI makes prototyping incredibly cheap, your old quality standards become a bottleneck. The key mindset shift? Quality doesn't matter equally everywhere. You can experiment with lower-quality prototypes to learn faster, then apply high standards only to what customers actually see. This isn't about lowering standards - it's about applying the right quality mindset at the right stage. Stop letting perfectionism slow down your learning phase.

The economics of building software are changing everything. For years, entrepreneurs used "painted doors" - fake features to test demand - because building was too expensive. But when AI drops development costs, you can create real prototypes and gather genuine user data instead of pretending. This mindset revolution treats experiments like cheap option contracts - the lower the cost, the more you can explore. Ready to abandon painted doors for unlimited experimentation?

When you focus on creating products people love rather than protecting how you work, AI becomes your ultimate creative accelerant. Rapid exploration, faster iteration, and the ability to try multiple ideas quickly.