Day 2 – April 23, 2026
Modern observability for Cloud Run with Datadog
Serverless architectures on Google Cloud are easy to deploy and notoriously hard to debug. Because Cloud Run services typically operate within distributed systems, pinpointing regressions requires understanding how requests traverse multiple components. The evidence needed for end-to-end troubleshooting exists within a rich ecosystem of logs, metrics, and traces; the key challenge lies in correlating this telemetry across services.
In this session we’ll showcase Datadog’s unified observability for Google Cloud Run in action. See deployment markers layered directly onto performance data, monitor related Cloud Run Jobs, and follow distributed traces through Pub/Sub and beyond—so you can pinpoint impact, isolate root cause, and resolve production issues faster.
By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.
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