![]() ![]() Prometheus remote write can be configured to send metrics from your existing Prometheus server or AWS Distro for OpenTelemetry running in EKS and ECS, empowering you to easily enable your container workloads for Prometheus based monitoring. Authorization is controlled by IAM, policy control from AWS Organizations, and API calls are logged to AWS CloudTrail. Amazon Managed Service for Prometheus is configured and managed from the AWS Console, API, and CLI. While it is based on the open source Prometheus project, Amazon Managed Service for Prometheus provides a fully managed AWS service integrated with other AWS services and is compatible with hybrid and multicloud environments. Q: How does this service relate to/work with other AWS services or other clouds? Labels are similar to AWS tags applied on resources, see reference guide for more details, or Dimension applied on CloudWatch metrics. Labels can be used to differentiate the characteristics of what is being measured such as “region=us-east-1”, “environment=production”, and “app=ecommerce”. The Prometheus data model identifies each time series with a name and any number of key-value pairs called labels. ![]() The service also seamlessly integrates with the new Amazon Managed Grafana service to simplify data visualization, team management authentication, and authorization. Amazon Managed Service for Prometheus manages the operational complexity of elastically scaling the ingestion, storage, alerting and querying of metrics to meet any customer’s demand while being 100% compatible with the open source CNCF-hosted project.Īmazon Managed Service for Prometheus offers a secure and highly available service that eliminates the need to manually deploy, manage, and operate Prometheus components. Amazon Managed Service for Prometheus is specifically architected to handle the high cardinality (large number of arbitrary tags) in monitoring data generated by container-based applications. You should use Amazon Managed Service for Prometheus if you have adopted an open source-based monitoring strategy, have already deployed or plan to adopt Prometheus for container monitoring, and prefer a fully managed experience across AWS or multiple cloud providers where AWS provides enhanced security, scalability, and availability. Q: Why should I use Amazon Managed Service for Prometheus? Amazon Managed Service for Prometheus offers native support for the Prometheus Query Language (PromQL) as well as the ability to ingest Prometheus metrics from over 150+ Prometheus exporters maintained by the open source community. It offers highly available, multi-Availability Zone deployments, and integrates AWS security and compliance capabilities. Amazon Managed Service for Prometheus automatically scales as your monitoring needs grow. Amazon Managed Service for Prometheus reduces the heavy lifting required to get started with monitoring applications across Amazon Elastic Kubernetes Service, Amazon Elastic Container Service, and AWS Fargate, as well as self-managed Kubernetes clusters. Amazon Managed Service for Prometheus is powered by Cortex, an open-source CNCF project that adds horizontal scalability to ingest, store, query, and alert on Prometheus metrics. Amazon Managed Service for Prometheus is a fully managed AWS service for monitoring containers on AWS, on premises, and in hybrid and multicloud environments it is a cross-project solution based on the popular open-source Cloud Native Computing Foundation (CNCF) Prometheus project. Q: What is Amazon Managed Service for Prometheus?Īmazon Managed Service for Prometheus is a serverless monitoring service for metrics compatible with open source Prometheus, making it easier for you to securely monitor and alert on container environments.
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