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
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 33 views

2
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 29 views

3
Analyzing round trip query latency
Analyzing round trip query latency

Datadog | The Monitor blog Mar 27, 2026 27 views

4
Introducing our open source AI-native SAST
Introducing our open source AI-native SAST

Datadog | The Monitor blog Apr 10, 2026 23 views

5
Introducing the Datadog Code Security MCP
Introducing the Datadog Code Security MCP

Datadog | The Monitor blog Apr 7, 2026 23 views