Case Study: Datadog achieves rapid observability migration and restored telemetry in 48 hours with Deductive AI

Datadog restores observability in 48 hours with Deductive AI

Deductive AI, a startup, faced an unexpected and immediate challenge when its observability vendor, Datadog, revoked its access. The customer lost all visibility into its production systems after Datadog deactivated its accounts and API keys, cutting off telemetry ingestion for logs, metrics, and traces. This occurred despite Deductive AI using Datadog's APM platform solely to monitor its own systems and not its competing AI product.

The solution was a rapid migration to an open-source stack using Grafana Cloud. Within 48 hours, Deductive AI fully restored its observability by implementing Prometheus for metrics, Tempo for tracing, Loki for logs, and Grafana Alloy. The results were a more cost-effective setup and a future-proofed architecture that eliminated vendor lock-in. This demonstrated that with modern AI-assisted tools, the switching costs for deeply embedded observability platforms are now far lower than historically assumed.

Datadog