![]() ![]() You can adopt Prometheus as an open-source and open-standard method to ingest custom metrics in CloudWatch. Container Insights automatically collects metrics from several workloads, and you can configure it to collect metrics from any workload. For Amazon ECS and Amazon EKS clusters, both the EC2 and Fargate launch types are supported. The Prom etheus counter, gauge, and summary metric types are collected. By default, pre-selected services are scraped, pre-aggregated, and automatically enriched with metadata, such as cluster and pod names.ĭiscovering Prometheus metrics is supported for Amazon ECS, Amazon EKS, and Kubernetes clusters running on Amazon EC2 instances. It automatically collects, filters, and creates aggregated custom CloudWatch metrics visualized in dashboards for popular workloads, such as AWS App Mesh, NGINX, Java/JMX, Memcached, and HAProxy. Container Insights automates the discovery and collection of Prometheus metrics from containerized applications. Prometheus is a popular open source monitoring tool that also graduated as a CNCF project and has a large and active community of practitioners. It is possible to reduce AWS costs for ingesting Container Insights metrics in CloudWatch by having the ADOT stream specific metrics to CloudWatch. With the default configuration, ADOT collects the complete set of metrics as defined in our Metrics collected by Container Insights documentation. Additionally, you can control the sampling rate (what percentage of the raw data is forwarded and ultimately stored). You can configure the metrics and traces that you want to collect, as well as which AWS services to forward them to. Note that the ADOT collector can also be launched in other modes, such as statefulSet. an agent daemon service on Amazon Elastic Compute Cloud (Amazon EC2).For common uses in Amazon EKS and Amazon ECS, we recommend launching the ADOT collector as a: The ADOT collector runs within your environment. ADOT is a secure and supported distribution of the APIs, libraries, agents, and collectors defined in the OpenTelemetry Specification. Back in October 2020, we launched a preview of AWS Distro for OpenTelemetry (ADOT). Īs members of the Cloud Native Computing Foundation (CNCF)’s OpenTelemetry community, we are working to define an open standard for the collection of distributed traces and metrics. Container Insights gives you insights from container management services such as Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), AWS Fargate, and standalone Kubernetes. It also helps you isolate issues and resolve them quickly by providing diagnostic information like container restart failures. Amazon CloudWatch collects, aggregates, and summarizes compute utilization information like CPU, memory, disk, and network data. You can also configure Container Insights to collect Prometheus metrics from otherĬontainerized services and applications by editing the agent configuration file.You can use CloudWatch Container Insights to monitor, troubleshoot, and alarm on your containerized applications and microservices. Sample containerized Amazon ECS workloads for Prometheus metric testing and (Optional) Set up sampleĬontainerized Amazon EKS workloads for Prometheus metric testing. For sample configurations for these workloads, see Workloads that are listed in this section. The Container Insights Prometheus solution includes pre-built dashboards for the popular For more information, see Amazon CloudWatch Pricing. This also reduces the number of monitoring tools required to improveĬontainer Insights Prometheus support involves pay-per-use of metrics and logs, includingĬollecting, storing, and analyzing. Metrics to monitor, troubleshoot, and alarm on application performance degradation andįailures faster. The CloudWatch agent with Prometheus support discovers and collects Prometheus You can adopt Prometheus as an open-source and open-standard method to ingest custom Metrics is planned for an upcoming release.įor Amazon ECS and Amazon EKS clusters, both the EC2 and Fargate launch types are supported.Ĭontainer Insights automatically collects metrics from several workloads, and you canĬonfigure it to collect metrics from any workload. The Prometheus counter, gauge, and summary metric types are collected. For more information, see What is Prometheus? in theĭiscovering Prometheus metrics is supported for Amazon Elastic Container Service, Amazon Elastic Kubernetes Service and Kubernetes clusters running on Amazon EC2 instances. Metrics from containerized systems and workloads. CloudWatch Container Insights monitoring for Prometheus automates the discovery of Prometheus ![]()
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