Rackspace Elastic Engineering for Microsoft Azure

Collaborate with a team of public cloud experts, available on-demand, to help drive business outcomes.

The cloud has been critical in launching products quickly, reliably and ahead of the competition. However, the true opportunity of the cloud is much greater. Today, IT organizations are realizing that the cloud isn’t just another trend, but a key component for achieving digital transformation. Wherever you are in your cloud journey, you’re likely facing a roadblock or two that prevents you from unlocking the benefits of the modern cloud. Whether your team is adopting new architectural methodologies, new ways to deploy, monitor and operate, or even new concepts such as containers, serverless, IoT and machine learning, you need more than just IT support. That’s where Rackspace Technology comes in. As traditional barriers between build and operate break down, accelerating innovation via the cloud requires a new approach to meeting your evolving cloud project needs.

Introducing Rackspace Elastic Engineering.

Rackspace Elastic Engineering gives you on-demand access to a team of highly skilled, multi-disciplinary engineers who will work alongside your team to collaboratively drive your Azure® cloud outcomes, while continuously evolving your environment. Rackspace Elastic Engineering supports a broad range of cloud services, including building, migrating, optimizing and transforming your Microsoft® Azure Cloud Platform.

Complimentary services for Rackspace Elastic Engineering.

This workshop will provide the foundational knowledge to begin navigating your financial operations journey. Modern Operations provides you with 24x7x365 operational and system admin support across a broad range of cloud services, regardless of your cloud maturity, for end-to-end lifecycle cloud management. Cloud Optimization Optimizer+ Platform Support (O+PS) provides a continuous cycle of cloud optimization, helping you manage your cloud presence by offering insights through resource reporting and analysis for spend optimization.