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CloudHealth Partners with Datadog, Connecting Cloud Performance Metrics to Cloud Costs for Enterprise and Fast-Growing Technology Companies

CloudHealth Technologies, the leader in Cloud Service Management, today announced an integration partnership with Datadog, the leading monitoring service for dynamic cloud applications. The integration of the CloudHealth and Datadog platforms offers customers end-to-end visibility across every dimension of their cloud environments, giving them recommendations and analysis to make analytically driven rightsizing decisions in the cloud.

While the decentralized management and dynamic provisioning of cloud resources greatly improves application development agility, it creates new challenges for organizations, related to cost allocation, infrastructure rightsizing and governance. The CloudHealth-Datadog partnership addresses the major challenge enterprises face as they embrace agile processes and cloud-based infrastructures: an inability to effectively manage cloud resources at scale.

Datadog provides a SaaS platform that monitors data across the entire infrastructure stack and presents that data in elegant and easy to understand dashboards, allowing for actionable insight. The CloudHealth platform simplifies cloud management, enabling enterprises to consolidate, evaluate, analyze, optimize and automate their clouds.

By connecting cloud metrics to costs, the integrated platforms allow customers to manage assets in a more strategic and holistic fashion. CloudHealth Technologies and Datadog bring together granular performance data, end-to-end visibility and powerful analytics to help customers continually make the best decisions about provisioning and rightsizing in the cloud. The CloudHealth-Datadog partnership provides customers with the following benefits:

  • Rightsizing analysis: Customers can use data from both solutions to receive recommendations about where to adjust resources that are over- or under-provisioned, saving them time and money.
  • Visualization of key assets: Using CloudHealth, customers can zero in on the cloud data they care about - looking by department, line of business, or any relevant Perspective. Using Datadog tags, they can get a centralized view of all their assets in one place alongside other tools and services.
  • Advanced performancemetrics per asset: Customers can maneuver between the tools to really understand their environments. They can jump into CloudHealth to track trends or scan through performance data or jump over to the Datadog console to explore individual assets in more detail.

"To optimize your cloud resources, you need to have tools that help you visualize your data, understand it and act on it," said Joe Kinsella, CTO and founder of CloudHealth Technologies. "Putting Datadog's best-in-class cloud monitoring assets together with CloudHealth's Cloud Service Management capabilities gives customers the ability to truly solve the issue of cloud complexity."

"The cloud cost allocation and optimization is a significant challenge for many of our enterprise customers who spin up tens of thousands of cloud instances across various business units," said Amit Agarwal, Chief Product Officer at Datadog. "We look forward to partnering with CloudHealth to provide customers who use both products a solution that helps customers quickly allocate and minimize costs, while ensuring that their critical applications are adequately provisioned at all times."

Many joint customers are already using CloudHealth and Datadog together, including Elastera, a provider of managed cloud hosting environments for ecommerce sites. The company moved to the cloud to innovate and get to market faster and adopted CloudHealth and Datadog to get accurate rightsizing recommendations for its AWS infrastructure.

"CloudHealth takes information collected from Datadog and connects the metrics to the money. It shows us if an instance is under-utilized and how much we could save by making a change," said Zachary Stevens, co-founder and chief architect, Elastera. "Using this powerful set of data analytics, we are able to downgrade over-provisioned assets, saving us time and money."

Published Friday, June 17, 2016 10:33 AM by David Marshall
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