
Cloud native has taken infrastructure a long way—faster deployments, better resilience, cost efficiency. But as systems grow more distributed, a new set of challenges has moved in: hundreds of microservices to manage, ops teams flooded with data but still struggling to piece together what's actually wrong, and constant firefighting instead of building.
The problem isn't a lack of observability. It's that logs, metrics, and traces tell you what happened. They don't tell you what's about to break, what's causing it, or what to do about it. That gap between knowing and acting is where situational awareness comes in—and it's what separates teams that react from teams that stay ahead.
The next step is infrastructure that closes that gap on its own.
Our latest white paper, What's after cloud native? The road to autonomous systems, breaks down what that shift looks like in practice.
Here's what's inside:
Why cloud native creates operational complexity at scale, and what that costs teams
What autonomous systems actually are beyond the buzzword
The difference between observability and situational awareness, and why it matters
The architecture building blocks: declarative infrastructure, AI agents, closed-loop feedback, and policy engines
How teams and organizations need to adapt, not just their tools