Chris Tozzi

For more than two decades, IT teams have been deploying application performance management tools to monitor and manage on-premises applications and infrastructure.

Explore the pros and cons of working with the new API definition language, TypeSpec, along with tips for getting started.

Machine learning workflows often involve time-consuming, repetitive -- and tedious -- tasks.

Consistent configurations enable the many machines, servers and applications across an organization to function properly. Effective configurations also bolster security and performance.

There's a lot to love about multi-cloud. By using multiple cloud platforms at once, businesses gain access to a broader selection of cloud services

Explore strategies for reducing AI project costs, including open source tools, automation and cost-effective infrastructure for generative AI.

Conventionally, the purpose of most multi-cloud architectures is to enable businesses to use one cloud to host one set of workloads, while operating other workloads in another.

Most applications that can run in the cloud can also operate on-premises. However, cloud-based environments work differently in many respects, which

Cloud migration -- the process of moving an on-premises application into the cloud -- is always a complex process.

Explore augmented analytics applications and capabilities, as well as examples and use cases across a variety of industry organizations.