Datadog Container Pricing

The datadog agent provides real time performance tracking and visualization of your operating system and application metrics.

Datadog container pricing.

Even though ecs and kubernetes still cycle through containers faster with typical container lifetimes of about one day the gap between platforms has narrowed. Introducing the container map view in datadog the container map is a brand new way to visualize explore and debug your dynamic container infrastructure. Further reading to get a better idea of how or why to integrate your amazon ecs service check out datadog s blog post about it. Datadog records the number of task instances you are monitoring in the datadog infrastructure or apm service at five minute intervals.

Refer to the dedicated amazon ecs documentation to run the agent as a container on every ec2 instance in your ecs cluster. Datadog live containers enables real time visibility into all containers across your environment. Monitor amazon elastic container service for kubernetes from day one with datadog. Metrics can be graphed on a dashboard by knowing the specific host name or tags.

The typical organization that uses a container orchestrator runs 11 5 containers per host as compared to about 6 5 containers per host in unorchestrated environments. The datadog agent runs in a container alongside any number of other containers on a host. Datadog named a leader in 2019 forrester wave intelligent application and service monitoring q2 2019 get the full report. From there it can collect metrics from its neighboring containers and from the host itself.

Part of the increase in container density over time may be due to the rise of orchestration technologies which correlate with a greater number of containers per host. Depending on your plan you can monitor 10 or 20 containers free for each host license. Datadog charges based on the average number of functions across all hours in a month. An aws fargate task is a collection of containers setup through aws s ecs container orchestration platform.

Taking inspiration from bedrock tools like htop ctop and kubectl live containers give you complete coverage of your container infrastructure in a continuously updated table with resource metrics at two second resolution faceted search and streaming container logs. It is recommended that containers are monitored with a single containerized agent per host.