Which is serverless, Prometheus-compatible monitoring service for container metrics?

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Multiple Choice

Which is serverless, Prometheus-compatible monitoring service for container metrics?

Explanation:
Serverless, Prometheus-compatible monitoring for container metrics is provided by Amazon Managed Service for Prometheus. It offers a serverless backend that handles ingestion, storage, and querying of Prometheus-format metrics without you managing Prometheus servers. You instrument your containerized workloads (for example, Kubernetes on EKS) to expose metrics in Prometheus format, AMP scrapes them or receives them via remote_write, and you can use PromQL to analyze them. AWS takes care of scaling and maintenance, giving you a scalable metric store suited for dynamic container environments. You can visualize the data with Amazon Managed Grafana, but AMP is the metric backend itself. The other options are not a Prometheus-compatible metric store: the management console is just a user interface, AWS Config tracks configuration changes, and Amazon Managed Grafana is for visualization rather than storing and querying Prometheus-format metrics.

Serverless, Prometheus-compatible monitoring for container metrics is provided by Amazon Managed Service for Prometheus. It offers a serverless backend that handles ingestion, storage, and querying of Prometheus-format metrics without you managing Prometheus servers. You instrument your containerized workloads (for example, Kubernetes on EKS) to expose metrics in Prometheus format, AMP scrapes them or receives them via remote_write, and you can use PromQL to analyze them. AWS takes care of scaling and maintenance, giving you a scalable metric store suited for dynamic container environments. You can visualize the data with Amazon Managed Grafana, but AMP is the metric backend itself. The other options are not a Prometheus-compatible metric store: the management console is just a user interface, AWS Config tracks configuration changes, and Amazon Managed Grafana is for visualization rather than storing and querying Prometheus-format metrics.

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