The thing is: when creating metrics exporter for CloudWatch, we will need Amazon CloudWatch client. The situation with CloudWatch, however, is a little different and we won’t find it’s AutoConfiguration in the actuator jar. spring-boot-actuator-autoconfigure.jar where we can find autoConfigurations for different systems (like DatadogMetricsExportAutoConfiguration), thus automatically creating an exporter for metrics system when given registry is present on the classpath.micrometer-registry-datadog.jar (in case of datadog) containing a Spring-Boot-independent meter registry and utils.datadog) work with Spring boot through Micrometer, the required components can be found in two places: When making a particular metric system (like e.g. Still, the registry exists and can be found both in the repo and on GitHub waiting to be used. Study the list however, you will not find CloudWatch there. Setting up Micrometer with Spring Boot is super easy, and it’s mostly just adding a specified registry as a dependency, where the registries are different metrics systems that again are listed on Micrometer page: It’s not my goal here to describe Mirometer itself, nor the concept of different metrics, as all the info can be easily found in the Micrometer docs. You can also check and follow everything in the working code Micrometer.io and CloudWatch Metrics Exporter If you are interested in learning the details, then please continue reading :). If you are not interested in why and just want to make Spring Boot work with AWS CloudWatch, do the following:Ĭompile(':spring-boot-starter-actuator')Ĭompile(':spring-cloud-starter-aws')Ĭompile('io.micrometer:micrometer-registry-cloudwatch:1.0.6') Time was slowly passing and civilizations prospered, but it’s still difficult to find info on how to make Spring Boot work with Micrometer CloudWatch. It was all before micrometer and depended heavily on Netflix Servo Metrics. You can also configure Container Insights to collect Prometheus metrics from otherĬontainerized services and applications by editing the agent configuration file.Some time ago, I wrote a blog on how to configure CloudWatch metrics with Spring Boot. 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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