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Devops certifications are useful for software developers just starting out as well as those seeking career advancement, better pay, or new opportunities. Here’s what you need to know.
Distributed app platform also introduces the 'aspire do' command for parallelized builds and deployments and an Aspire MCP server for AI devops.
Microsoft is working with Anyscale to help you build, train, and run your own ML models with PyTorch on AKS.
The latest release of the Kubernetes-based cloud application platform aims to streamline complex AI workloads, with additional improvements for security and virtualization.
If you force developers to learn Helm, Kustomize, or how Kubernetes manifests work, you are wasting their time. Give them environments instead.
Microsoft’s cloud-native, distributed application development tool kit drops .NET from its name and embraces, well, everything.
Combination of Azul JDK and Cast AI app performance platform aims to improve Java runtime efficiency in Kubernetes-based public cloud environments.
The open source Redis fork is slowly getting support across Microsoft’s various platforms.
The Java ecosystem brings you unmatched speed and stability. Here’s our review of seven top-shelf Java microframeworks built for modern, lightweight application development.
Look past the trends to understand the fundamental business drivers and pitfalls of microservices in generative AI architectures.
AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools.
Learn how to use Nitro to create fast, scalable server-side JavaScript applications and APIs.
A good middle ground between AKS and ACI, AKS Automatic makes running cloud-native applications easier for companies without Kubernetes skills.