Observability

A request can fail even when every Kubernetes pod is Running. The application may be waiting for a Dapr component, a retry may mask a slow dependency, or a call may reach the wrong app ID. Pod health tells us that the processes are alive; it does not explain the path a request takes. Dapr exposes three complementary signals. A trace reconstructs a single request across service boundaries. Metrics show whether a symptom is becoming a trend. Logs explain what a particular application or sidecar decided at a particular moment. The useful operational view comes from connecting all three. ...

Part 1 introduced AppNet, while Part 2 demonstrated its use in zero-trust and multi-cluster patterns. This concluding section explores a shared AI gateway, the operational signals derived from the mesh, and the architectural tradeoffs that influence whether AppNet should be integrated into your platform. Series navigation Part 1: What AppNet is and how to get started Part 2: Zero-trust and multi-cluster patterns Part 3: AI gateway, observability and production fit Example three: a shared AI gateway that rate-limits by application AI Gateway with Per-Application Token Rate Limiting] ...

You Are Logging Everything — And Seeing Almost Nothing Part 3 of the Cloud Security series This article is the third part in a series on cloud security, based on real Azure environments rather than idealized models. The first part emphasized establishing momentum through basic improvements. The second highlighted how identity is the most underestimated yet powerful security control in the cloud. This section shifts focus to telemetry, which most platforms already possess in large quantities: logs, metrics, alerts, and signals are ubiquitous in Azure. Despite this abundance, many organizations remain largely unaware of significant security risks. ...