NEW YORK--(BUSINESS WIRE)--Datadog, a leading SaaS-based monitoring platform for cloud applications, today announced new, dynamic platform services for deep diagnostics and monitoring of Amazon EC2 Container Service (Amazon ECS). Datadog’s new Amazon ECS capabilities are designed to empower developers and sysadmins by enhancing visibility into the scheduling, monitoring, and lifecycle management of Docker applications.
Delivering a Comprehensive View of Infrastructure Performance
Datadog enables collection, visualization, and alerts on important Docker resource metrics in Amazon ECS, such as CPU or memory usage, and then correlates metrics for a comprehensive view of infrastructure performance and health. Amazon ECS tackles critical network, deployment and security issues for Docker containers, which has drawn significant interest from, and adoption by, IT ops.
“Adopting Amazon ECS has allowed us to scale faster and make our cloud infrastructure more flexible,” says Bilal Aslam, Chief Product Officer, Appuri. “Datadog's new integration will provide us deep visibility into our Amazon ECS environment so that we can better understand our infrastructure's performance at a glance and continue to rapidly expand on this new platform.”
“By consistently introducing innovative products, like Amazon ECS, Amazon Web Services (AWS) has created a dynamic environment for customer deployments – one that dramatically changes the way we apply and manage application development,” said Amit Agarwal, Chief Product Officer of Datadog. “Rapid customer adoption of both AWS and Docker has been a major driver for new features on our monitoring platform, and we look forward to keeping pace with this application evolution, and to providing our customers the best, most comprehensive view of their infrastructure performance.”
Amazon ECS is a highly scalable, high performance container management service that eases Docker container management on a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances. As containerized applications scale and the number of container deployments increase, so does the need for visibility into the health and status of those containers. Datadog’s solution makes it possible for customers to more efficiently build and deploy, as well as monitor and manage, the performance of containerized applications running on Amazon ECS.
“Customers can easily expand from one to thousands of containers, but building monitoring solutions for applications that span many containers across large clusters can be an extremely time consuming, complicated and expensive process,” said Matt Garman, Vice President of Amazon EC2, Amazon Web Services, Inc. “Datadog gives DevOps teams a very simple and cost-effective way to properly monitor how containers are running on Amazon ECS, and ensure the optimal performance and management of container applications.”
Enhancements to Datadog Platform for Amazon ECS Support
- Provides real-time visibility into the health of your Docker-powered service, regardless of how your infrastructure is scaling or evolving;
- Slices infrastructure at runtime with ad-hoc parameters for visibility into resource usage, response times, errors, and more, and to isolate issues;
- Automatically tracks containers as they come online or terminate;
- Monitors containers and the services they are running with Datadog’s 100+ vendor-supported, turn-key integrations;
- Leverages Datadog’s flexible and expressive alerting system for immediate notification about any Docker-powered service underperformance.
Datadog is a Diamond sponsor at the Amazon Web Services (AWS) re:Invent annual user conference, October 6-9, 2015. See a live demonstration of Datadog at AWS booth #212 on the Expo Floor.
Datadog with support for Amazon ECS is available now. 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 to avoid downtime, resolve performance problems, and ensure that development and deployment cycles finish on time.