Accelerate business innovations by modernizing Windows Server and SQL Server workloads with AWS purpose-built services and open-source technologies. Benefit from the knowledge and expertise working with AWS Partners to achieve faster time-to-market for new service creation and delivery.

This paper provides answers to the top 10 questions customers have when running Microsoft workloads on AWS—ranging from the key benefits AWS offers, to the licensing, migration, and optimization options for your Windows Server, SQL Server, and .NET workloads.

This paper challenges some common assumptions surrounding the possibility, cost and performance implications of running SQL Server workloads on AWS as illustrated by practical examples from our own experience working with customers across the US and Canada on cloud migration projects.

Read this paper to learn how modernizing your Microsoft SQL Server and .NET applications on AWS can help you optimize your workloads in the cloud, unlocking benefits such as increased agility, reduced costs, and improved performance.
IBM positions Concert as a graph-driven operations platform that combines observability, policy, risk and AI agents into a shared...
STAREAST presenters outlined frameworks for aligning QA, AI and IT initiatives with business value through shared metrics tied to...
AI workloads are reshaping cloud strategies. Hybrid cloud is no longer transitional -- it's a structural necessity for AI, driven...
AI workloads require tailored compute strategies. Learn how hardware, cloud models and deployment choices affect performance, ...
DevOps, Agile and Waterfall offer distinct approaches to software delivery, varying in speed, flexibility, risk management and ...
Harness makes its artifact registry generally available beyond early preview customers, with a security twist that could ...
AI assistants are transforming IT operations by improving efficiency and resolution times, but success depends on governance, ...
Red Hat furthers its hybrid cloud AI push with Model-as-a-Service and sovereignty features amid growing enterprise concerns about...
TechTarget asked CIOs the biggest challenge they expect next year. Their answers point to AI adoption, rapid change and pressure ...
The AI experimentation phase is over. Enterprises are now racing to build AI factories that generate revenue, not just consume ...