Datadog for Google Cloud

Monitor your Google Cloud environment with Datadog

Utilize metrics, visualizations, alerting, and AI to ensure engineering teams can maintain and optimize their multicloud and hybrid environments with Datadog.

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ebook migrate to Google Cloud with Datadog

Confidently migrate to Google Cloud with Datadog

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Benefits

End-to-end visibility and security for modern applications and infrastructure

Monitor any stack, any app, at any scale—anywhere

Unify telemetry data from your Google Cloud services, containers, databases, and apps for cross-platform visibility and the ability to correlate between frontend, backend, and infra layers with a single click.

Predictive analysis and automated troubleshooting

Leverage application-wide AI/ML capabilities that immediately pinpoint root causes of a problem and detect underlying application performance issues, reducing mean time to resolution (MTTR).

Full stack threat detection and application security

Combine observability with a full spectrum of security insights through out-of-the-box detection rules that facilitate comprehensive security analysis of malicious patterns across your entire stack.

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Key features

The Datadog and Google Cloud joint solution

An all-in-one holistic observability and security approach empowering engineering, security, and business teams to effectively resolve issues quickly.

Consolidate monitoring tools to increase uptime and reduce cost

Datadog supports the complete DevSecOps cycle and offers a full suite of continuous and real-time observability and security tools within a single, unified platform. This allows teams to bring every aspect of development together—from writing code and testing to monitoring and user analysis (infrastructure monitoring, APM, RUM, CNM, logs, cloud and application security, Cloud SIEM, and more).

Multidimensional visibility to monitor containerized environment

Datadog provides visibility into GKE Standard and Autopilot, in addition to serverless containers through our Cloud Run, Cloud Run functions, and Anthos integrations. Collect metrics and other performance data from across your cluster—such as CPU and memory usage, container and pod events, network throughput, and individual request traces—so you can be ready to tackle any issue you might encounter.

Optimize performance with alerts powered by machine learning

With machine learning embedded into the entire platform (no setup required), Datadog's Watchdog automatically detects and alerts on hidden outliers and anomalies and provides forecasts based on seasonality. Alerts can be directly triaged to certain teams to ensure immediate resolution.

Get business-level insights and track cloud cost

Engineering leaders are responsible for finding unique ways to optimize their cloud investments. With Datadog’s hundreds of out-of-the-box dashboards that provide top-down infrastructure observability, business and engineering leaders can optimize together by visualizing cost data alongside the rest of their system's metrics, traces, logs, and other telemetry to fix cost inefficiencies.