Datadog Integration with Docker Enables Effortless Container MonitoringSAN FRANCISCO–(BUSINESS WIRE)–Datadog, the leading SaaS-based monitoring platform for cloud applications, today announced that it has been recognized by Docker as an Ecosystem Technology Partner (ETP) for monitoring. The designation indicates that Datadog has demonstrated working integration with the Docker platform via the Docker API and is available to users and organizations who seek solutions to monitor their dockerized distributed applications.
“Accurate and comprehensive monitoring is critical to helping ensure optimal performance of container environments”
“Accurate and comprehensive monitoring is critical to helping ensure optimal performance of container environments,” said Scott Johnston, senior vice president of product at Docker. “Datadog’s solution provides insight into application and service metrics that helps organizations make best use of the Docker platform.”
With a simple one-step setup, Datadog users can gather detailed performance metrics across all of their Docker containers, engines and hosts. With these metrics, users can visualize the performance of their containerized applications, receive alerts on critical issues and collaborate across teams to address and resolve performance problems.
Key Datadog integration features:
- Low impact collection of detailed container metrics every 15 seconds
- Visualization of larger numbers of containers through automatic tagging and aggregation of Docker attributes by “name,” “image,” “command,” etc.
- Alerts on performance issues that span clusters of containers
- User visualization and correlation of container lifecycle events in the context of Docker and other application metrics
Datadog will feature its SaaS-based monitoring platform for cloud applications at Dockercon in San Francisco, June 22-24, 2015. For more information, visit http://www.dockercon.com.
To sign up for a trial of Datadog, visit https://www.datadoghq.com.
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Datadog is a monitoring service that brings together data from servers, databases, applications, tools and services to present a unified view of the applications that run at scale in the cloud. These capabilities are provided on a SaaS-based data analytics platform that enables Dev and Ops teams to work collaboratively in the infrastructure to avoid downtime, resolve performance problems and ensure that development and deployment cycles finish on time.