Datadog Achieves AWS Microsoft Workloads Competency Status

Datadog Achieves AWS Microsoft Workloads Competency Status

July 11, 2019 0 By Hoofer

Datadog, a monitoring and analytics platform for modern cloud environments, today announced that it has achieved Amazon Web Services (AWS) Microsoft Workloads Competency status. This designation recognizes Datadog’s proven technology and deep expertise in helping customers with Microsoft Workloads handle migration to and operational enablement within AWS.

Achieving the AWS Microsoft Workloads Competency differentiates Datadog as an AWS Partner Network (APN) member that provides specialized demonstrated technical proficiency and proven customer success with specific focus on workloads based on the Operational Optimizationcategory for technologies used to optimize and automate Microsoft Workloads on AWS in the areas including security, availability, and manageability.

To receive the designation, APN Partners must possess deep AWS expertise and deliver solutions seamlessly on AWS.

“Datadog is proud to achieve AWS Microsoft Workloads Competency status,” said Ilan Rabinovitch, VP of Product and Community at Datadog. “These capabilities will help us serve customers running Microsoft workloads on AWS both with their migration processes and post-migration optimization and management.”

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology APN Partners with deep industry experience and expertise.

Datadog’s cloud monitoring platform brings together infrastructure metrics, application traces, log data, and synthetic monitoring, allowing enterprises to scale their cloud environments, troubleshoot potential issues, and provide their customers with superlative digital experiences. Datadog supports a wide range of AWS services, and is a member of the AWS Partner Network.