For Google Cloud Platform service monitoring, how should the Dynatrace integration be deployed?

For Google Cloud Platform service monitoring, how should the Dynatrace integration be deployed?

• A. As a virtual machine
• B. As a GCP function or in a Kubernetes container
• C. As a Cloud Run service
• D. As a managed service only

Answer: (B)

The integration of Dynatrace with Google Cloud Platform (GCP) is optimized when deployed as a GCP function or in a Kubernetes container. This deployment method allows for better scalability and flexibility in managing microservice architectures commonly used in cloud environments. Deploying Dynatrace in a serverless function caters to dynamic workloads, automatically scaling based on demand without the need for managing infrastructure. Similarly, using Kubernetes offers orchestration and management capabilities, enabling Dynatrace to monitor containerized applications efficiently across varied environments. Both options facilitate seamless integration with GCP services, ensuring robust performance monitoring and observability across applications running in these agile environments. This approach aligns with GCP's cloud-native philosophies, maximizing the advantages of modern containerization and serverless architecture, which are integral for effective and responsive monitoring solutions.

The integration of Dynatrace with Google Cloud Platform (GCP) is optimized when deployed as a GCP function or in a Kubernetes container. This deployment method allows for better scalability and flexibility in managing microservice architectures commonly used in cloud environments.

Deploying Dynatrace in a serverless function caters to dynamic workloads, automatically scaling based on demand without the need for managing infrastructure. Similarly, using Kubernetes offers orchestration and management capabilities, enabling Dynatrace to monitor containerized applications efficiently across varied environments. Both options facilitate seamless integration with GCP services, ensuring robust performance monitoring and observability across applications running in these agile environments.

This approach aligns with GCP's cloud-native philosophies, maximizing the advantages of modern containerization and serverless architecture, which are integral for effective and responsive monitoring solutions.