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Microsoft’s new AI-infused hardware shows promise for developers, but the platform still needs work to address a fragmented toolchain.
In the ramp-up for AI, companies feel pressured to choose cloud or on-premises. Let’s learn from past mistakes and realize the solution is rarely one size fits all.
Microsoft has rolled its Git Virtual File System and Scalar optimizations into a fork of Git designed to support enormous repos and large distributed teams.
The open-source Retina brings observability to container networks in Kubernetes using eBPF.
The cloud and automation go hand in hand. Use Azure Automation and runbooks to deploy and manage Azure infrastructure and platform services.
High-level skills such as validating and monitoring LLMs and learning the AI stack are good areas for technologists to tackle.
A recent study shows a narrowing gap between enterprises' application development skills and the likelihood of a vast data breach.
Should budget go to innovations or fixing existing systems so they don’t bankrupt you? The future of your business may ride on the answer.
Azure Monitor managed service for Prometheus smooths the way to multi-cluster monitoring across Azure Kubernetes Service, Azure Arc-hosted Kubernetes, and on-prem Kubernetes deployments.