Integrating Calico statistics with Prometheus
Metrics are important for a microservices application running on Kubernetes because they provide visibility into the health and performance of the application. This visibility can be used to troubleshoot problems, optimize the application, and ensure that it is meeting its SLAs.
Some of the challenges that metrics solve for microservices applications running on Kubernetes include:
- Visibility: Microservices applications are typically composed of many small, independent services. This can make it difficult to get a clear picture of the overall health and performance of the application. Metrics provide a way to aggregate data from all of the services, giving you a single view of the application.
- Troubleshooting: When something goes wrong with a microservices application, it can be difficult to identify the root cause of the problem. Metrics can help you to track down the problem by providing information about the state of the application at the time of the failure.
- Optimization: Metrics can be used to optimize the performance of a microservices application. By tracking metrics such as CPU usage, memory usage, and network traffic, you can identify areas where the application can be improved.
- SLAs: Many microservices applications have SLAs that they must meet. Metrics can be used to Continue reading