Pros:
- Simplicity: Directly integrates with the application, reducing the need for additional components.
- Performance: Lower latency as metrics are collected and exposed directly by the application.
- Consistency: Metrics are always in sync with the application's state.
Cons:
- Coupling: Tightly couples the metrics collection with the application logic, making it harder to maintain and test.
- Scalability: May require changes to the application code if the metrics collection needs to be updated or scaled.
- Resource Usage: Increases the resource usage of the application container, potentially affecting its performance.
Pros:
- Decoupling: Separates metrics collection from the application logic, making it easier to maintain and test.
- Flexibility: Can be updated or scaled independently of the application.
- Isolation: Reduces the impact on the application's performance by offloading metrics collection to a separate container.
Cons:
- Complexity: Adds an additional component to the deployment, increasing the overall complexity.
- Latency: Potentially higher latency as metrics are collected from logs rather than directly from the application.
- Synchronization: Requires careful handling to ensure that the logs and metrics are in sync.