If you are running containers on your instances, Datadog’s Live Container view gives you complete coverage of your fleet, with metrics reported at two-second resolution. And, the Datadog Agent includes out-of-the-box support for log collection for AWS cloud services as well as popular technologies like Apache, NGINX, HAProxy, IIS, Java, and MongoDB. Installing the Agent also means you can begin tracing requests with Datadog APM after instrumenting your applications. See the Datadog Agent documentation for more information. You can also quickly and easily automate deployment of the Agent across your entire infrastructure with popular configuration management tools like Chef, Puppet, and Ansible, or to your container fleet via Docker or Kubernetes. You should then see your instance reporting metrics in your Datadog account. To get started, simply click on the gear icon in the upper-right corner of the dashboard and select Clone Dashboard.ĭD_API_KEY = DD_AGENT_MAJOR_VERSION = 7 bash -c " $(curl -L ) " You can also bring in application performance metrics to correlate throughput, errors, and latency with key resource metrics from the underlying instances. For instance, you might want to visualize your EC2 metrics alongside those from other AWS services, or from infrastructure technologies like Kubernetes or Docker. You can fully customize and extend the template EC2 dashboard to meet your specific monitoring needs. This dashboard displays a number of key metrics organized to surface the instances with the highest levels of resource usage. Once you’ve set up the Datadog role within AWS and connected it to your Datadog account, you will see a customizable, out-of-the-box EC2 dashboard on your Datadog dashboard list (as well as dashboards for any other AWS service you are monitoring with Datadog). This lets Datadog collect metrics from EC2 and the rest of the AWS platform via the CloudWatch API without installing anything on your instances.Īctivating the integration requires correctly delegating AWS IAM roles and giving the Datadog role read-only access. The fastest way to start monitoring EC2 metrics in Datadog is to enable the AWS integration. And, with the addition of logging, Datadog provides a fully unified monitoring platform. Datadog APM lets you trace requests as they propagate through distributed services and cloud instances, helping you troubleshoot and identify bottlenecks in your cloud applications. And, with Datadog’s more thanĦ00 integrations, you can visualize, correlate, and alert on metrics from AWS and your other systems from one place. Installing the Datadog Agent on your instances enables you to collect additional system-level metrics at 15-second resolution, including memory, disk latency, and others. Datadog automatically collects all available performance metrics for EC2, as well as for other AWS services, and retains your data for Connecting CloudWatch to Datadog will give you an even more detailed and comprehensive view of your entire infrastructure. Is there a way to create an alarm that will trigger when disk usage exceeds 80% on any instance?įor the record, I'm not looking for aggregate or "roll up" metrics, I just want to create an alarm that will trigger a notification any time an EC2 instance with the CloudWatch Agent installed exceeds 80% disk usage.When it comes to monitoring EC2 instances and any connected AWS services, Amazon CloudWatch is an excellent starting point. Since we constantly have instances starting up and being terminated, having to create a new alarm manually for each new EC2 instance launch is not feasible. However, so far I have only been able to create alarms for disk usage on a per-instance basis. I can see the disk usage metrics in CloudWatch. I've successfully set up the CloudWatch Agent on a test Linux EC2 instance using the example from the documentation. I'd like to configure an alarm to be sent out when disk usage exceeds 80% on any instance. I'm trying to create a CloudWatch alarm to monitor all of our EC2 instances for excessive disk usage. Hi all, wondering if anyone's run into this before.
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