Trace Google Pub/Sub workloads in Cloud Run with Datadog
Datadog | The Monitor blog

Trace Google Pub/Sub workloads in Cloud Run with Datadog


Summary

This article details how to effectively monitor Google Cloud Run services using Datadog. It explains how to leverage Datadog's auto-discovery feature and custom metrics to gain visibility into key performance indicators (KPIs) like request latency, error rates, and resource utilization within your serverless applications. Ultimately, it empowers users to proactively identify and resolve issues in Cloud Run, improving application reliability and performance.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
2
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 78 views

3
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 70 views

4
Monitoring MongoDB performance metrics (MMAP)
Monitoring MongoDB performance metrics (MMAP)

Datadog | The Monitor blog May 25, 2016 70 views