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Overview

Dynatrace automatically discovers, baselines, and intelligently monitors dynamic Google Cloud workloads.

Dynatrace OneAgent provides full-stack monitoring for core compute resources such as Google Kubernetes Engine (GKE), Google Compute Engine (GCE), and Google Application Engine (GAE). This gives you deep code-level visibility and end-to-end traces for everything that’s running on compute services.

All metrics published to the Operations API (formerly Stackdriver) can be automatically ingested into Dynatrace to provide data for AI-powered problem detection and automatic root-cause analysis. Our Google Cloud integration helps you stay on top of the dynamics of your hybrid cloud by providing a high-level overview of the Google Cloud services in your account, distinguishing between healthy and unhealthy services.

Use cases

  • Real-time infrastructure monitoring: Track Google Cloud infrastructure, applications, and multiple datacenters.
  • AI-driven root cause analysis: Reduce time-to-problem-resolution with intelligent insights.
  • Resource optimization: Monitor and optimize resource utilization across Google Cloud environments.
  • Hybrid cloud support: Achieve full-stack visibility in hybrid and multi-cloud environments.
  • Automatic instrumentation: Simplify cloud observability with easy, automatic, AI-powered tools.

Get started

  • Get Started with Google Cloud Monitoring: This guide provides detailed steps to set up monitoring for Google Cloud services, focusing on infrastructure and application performance.

Get Started

To ensure gapless visibility, deploy OneAgent to your hosts and enable the Google Cloud Operations API integration.

OneAgent deployment to hosts

OneAgent collects all relevant monitoring data for each standalone GCE instance and each GCE instance that is part of a GKE cluster or GAE. A single instance of OneAgent can handle monitoring for all types of entities, including servers, applications, services, databases, and more. Based on what it detects, OneAgent automatically activates instrumentation that’s specific to your unique application stack. The deployment requirements and options vary depending on the GCP compute service you use.

  • Google Compute Engine
  • Google Kubernetes Engine
  • Google App Engine

Google Cloud Operations API integration to monitor clouds services

You can integrate Dynatrace with Google Cloud Platform for all services running in the cloud to stay on top of the dynamics of your workloads. Together with metrics, you get dashboard presets, predefined alerts, and Log Monitoring.

Google Cloud Operations API integration requires you to setup additional cloud native components in your infrastructure. Deployment scripts are open sourced on github. Once installed, the integration sends data to Dynatrace for the following services: Cloud APIs, Cloud SQL, Function, Datastore, Storage, Loadbalancers, GKE, and Pub/Sub, Memorystore. You can also extend the scope of monitored services.

To activate monitoring, follow the setup documentation.

Google Cloud Functions

Use OpenTelemetry to start monitoring your Google Cloud Functions. With OpenTelemetry, Dynatrace supports end-to-end traces through Cloud Functions as well as performance and business metrics.
Many GCP client SDKs are already pre-instrumented with OpenTelemetry, which allows you to easily pull metrics and trace data into Dynatrace using trace ingest.

Resources

  • Power Demo: Google Cloud Observability
  • Accelerate transformation with automated observability for GCP
  • Integrated billing with Google Marketplace
  • Cloud Run blog post
  • 5 Key Considerations for Monitoring Google Cloud
  • 5 Steps to Accelerate Google Cloud Migration
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Customer story Deutsche Telekom
“To assess our IT landscape, we would have to review six to seven individual applications, across three to four different cloud infrastructures. Dynatrace’s platform allowed us to bring all this information together in a single source of truth to allow our teams to resolve problems early and quickly.”
Laurent Donnay
SVP IT Sales and Platforms
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