The next-generation observability architecture: Lessons from a decade of event-scale system
CIO, Tuesday, April 14th, 2026
Dashboards are great for steady states, but they buckle during real crises. We need a data layer that handles messy, exploratory queries without crashing or breaking the bank.
Revenue dips. Latency spikes. Alerts fire. The dashboards look fine - until they don't
Slack explodes. Ten engineers become 20. Queries multiply. Everyone starts scanning raw event data at once. And then the system starts to buckle. Right when you need it most.
Over the past decade, I've worked on large-scale, real-time analytics systems for massive, bursty workloads. First in ad tech and more recently in observability. Across very different domains, the same failure pattern tends to emerge. Platforms that perform well under normal, steady-state conditions degrade under investigative load.