Observability for Modern AI Stacks

Overview

Most teams don’t realize they’re flying blind until something breaks. In AI environments, that might look like degraded model performance, slow inference, or stuck pipelines with no obvious root cause. Cake brings observability into focus, so you can catch and fix problems before they affect users or outcomes.

With Cake, you can deploy and scale open source observability tools across your entire stack in your own environment. Stream logs, metrics, and traces into a unified view. Monitor GPU workloads, pipelines, and agent behavior with full context. And keep everything secure, compliant, and easy to customize.

Key benefits

✓ Full-stack visibility for AI infrastructure: Monitor everything from ingestion pipelines to inference endpoints in one place.

✓ Custom instrumentation with zero boilerplate: Auto-instrument your stack using OpenTelemetry, Prometheus, aNd more without extra configuration.

✓ Keep observability data secure and private: Run everything inside your VPC with fine-grained access controls and redaction policies.

✓ Use the open source tools your team already loves: Plug in tools like Grafana, Jaeger, and Loki without rewriting your stack.

✓ Shorten incident response time: Trace system behavior back to the source and resolve issues before they hit production.