Operations | Monitoring | ITSM | DevOps | Cloud

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.