Knowledge from the
heart of Archers.

From fragmented signals to confident decisions in an AI-driven future. 

In our Applied Observability Maturity Model, we map maturity across five maturity levels and six key pillars. Those levels and pillars are not theoretical. They are grounded in three inputs:

• What we see in the field across real customer environments and operating models.

• What we see evolving in technology across platforms, telemetry, integration patterns, and AI driven operations.

• How leading teams connect it to strategy, linking business outcomes to IT architecture, governance, and execution.

However, another dimension of maturity sits beneath the surface: our layered Observability reference framework.

Autonomous systems are no longer a distant vision.
AI agents, automated decisions and self-optimizing workflows are steadily entering the enterprise.

The digital world is being reshaped by AI, and that makes it difficult to understand the implications it has on security. AI agents interpret intent, reason over context, plan next steps, and execute actions across tools and systems without a predetermined script. That autonomy forces a different security mindset.

APIs and AI together: today’s team-up, tomorrow’s game-changer

Observability is more than dashboards and logs. It’s a foundation for shaping your IT landscape and driving better decisions.

Events aren’t just APIs, but should still be managed the same.

Grow your API maturity one stage at a time.

Choose your dance strategy – central control or distributed flow.

Merge microservices and event-driven thinking with CQRS and event sourcing.

How Fednot transformed from legacy systems to a scalable API-driven ecosystem

Why “Marketing & Evangelization” nearly became “Communication & Change” in API maturity