Category: Amazon Managed Service for Prometheus

Open standards, specifically the ones implemented by OpenTelemetry, are becoming the de-facto mechanism of implementing observability for numerous organizations that support this CNCF initiative. This blog post showcases how an organization can easily build a central observability platform with single-pane-of-glass visibility into their various applications that run both in the public cloud as well as […]

Orchestration platforms such as Amazon EKS and Amazon ECS have simplified the process of building, securing, operating, and maintaining container-based applications, thereby helping organizations focus on building applications. We simplified this further with the launch of AWS Fargate, where customers no longer have to manage Amazon Elastic Compute Cloud (EC2) instances for their Amazon EKS/ECS […]

At re:Invent 2020, we launched Amazon Managed Service for Prometheus, a fully managed Prometheus-compatible service in Preview on AWS. It is a secure and scalable service customers can utilize to collect infrastructure and application metrics from workloads hosted on various environments, such as Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), […]

Amazon Managed Service for Prometheus is a serverless Prometheus-compatible monitoring service for metrics to securely monitor container environments at scale. Amazon Managed Service for Prometheus lets you utilize open source Prometheus query language (PromQL) to monitor containerized workload performance without having to manage the underlying infrastructure required for the ingestion, storage, alerting, and querying of […]

Many customers using Amazon Managed Service for Prometheus are transitioning from their self-managed Prometheus systems to the fully managed service. Within this transition journey, Amazon Managed Service for Prometheus users need ways to migrate their existing Prometheus and Alert Manager configurations. PagerDuty is a receiver used by many customers to route alerts to their internal […]

Automated scaling is an approach to scaling up or down workloads automatically based on resource usage. In Kubernetes, the Horizontal Pod Autoscaler (HPA) can scale pods based on observed CPU utilization and memory usage. In more complex scenarios, we would account for other metrics before deciding the scaling. For example, most web and mobile backends […]

4/9/2021 – Updated the Prometheus server deployment setup part by removing the AWS SigV4 side-car proxy container. This is no longer needed as the Prometheus server now directly signs requests made to the AMP remote write API. Amazon Managed Service for Prometheus (AMP) is a Prometheus-compatible monitoring service for container infrastructure and application metrics for […]