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Microsoft is questioning whether OpenAI’s recent partnership with AWS conflicts with the existing Azure exclusivity arrangement.
Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers.
Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in.
Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not.
Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS.
Building code as a team doesn’t require handing over everything to the cloud.
The open source Redis fork is slowly getting support across Microsoft’s various platforms.
Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container.
The unified storefront provides a platform for customers to try out and buy solutions, bridging the gap where AI adoption requires a mix of third-party and in-house tools.
A good middle ground between AKS and ACI, AKS Automatic makes running cloud-native applications easier for companies without Kubernetes skills.
Getting certified in one or more leading AI development platforms won’t necessarily land you the job, but it could help you get noticed.
AWS Outposts, Microsoft Azure Arc, and Google Cloud Anthos each offers its own approach to managing hybrid and multicloud environments. Here’s how they compare on cost, security, and management.
Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.