Operations | Monitoring | ITSM | DevOps | Cloud

Most founders have a build problem. Very few have solved the distribution problem. That gap is where startups die. When someone comes to me with a startup idea (and this happens more than you’d think), I always ask the same question first.

Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight.

Let’s suppose you’re building an even smarter fishtank. You’re adding temperature and salinity sensors, logging timestamped readings to flash. The struct is your binary record format – every field at a fixed byte offset, so you can read it back on any system that knows the layout. You use fixed-width types from stdint.h and pack(1) to strip out compiler-inserted padding. This is the advice I had always received and given, and it’s correct – as far as it goes.

Honeycomb was excited to attend KubeCon + CloudNativeCon Europe, where one theme stood out across sessions: as AI reshapes how software is built and run, teams are being pushed to rethink how they understand their systems. Without strong observability and feedback loops, AI can accelerate confusion, misalignment, and operational risk.