2V0-71.23 Question 318
Select 3You are managing a Kubernetes environment using Tanzu Mission Control (TMC) and want to leverage Aria Operations for Applications for enhanced monitoring and troubleshooting. Which key benefits are achieved by integrating Aria Operations for Applications with Tanzu Mission Control?
- A
Centralized observability for containerized workloads across clusters managed by TMC
- B
Automated scaling of Kubernetes clusters based on application performance metrics
- C
Deep insights into application performance and dependencies within Kubernetes clusters
- D
Integration with CI/CD pipelines for automated application deployments
- E
Unified visibility into application logs, metrics, and traces across the Kubernetes landscape
Show answer and explanation
Correct answers: A, C, E
Explanation
Integrating Aria Operations for Applications with Tanzu Mission Control enhances operational visibility and troubleshooting capabilities for Kubernetes environments. It provides centralized observability, deep insights into application performance and dependencies, and unified visibility into logs, metrics, and traces. However, features like automated scaling and CI/CD pipeline integration are beyond the scope of this integration.
- A. Correct.
This is correct. By integrating Aria Operations for Applications with Tanzu Mission Control, you gain centralized observability across clusters managed by TMC.
- B. Incorrect.
This is incorrect. While performance metrics can inform scaling decisions, automated cluster scaling is not a feature directly provided by the integration between Aria Operations for Applications and TMC.
- C. Correct.
This is correct. Aria Operations for Applications offers deep insights into application performance, including service dependencies, which is valuable for Kubernetes environments.
- D. Incorrect.
This is incorrect. The integration focuses on observability and monitoring rather than CI/CD pipeline automation.
- E. Correct.
This is correct. The integration provides unified visibility into logs, metrics, and traces, allowing better troubleshooting and monitoring capabilities across Kubernetes clusters.