Container Apps Environment Networking (Consumption)
AI workloads are no longer just about models, they’re about how those models connect. On Azure, many teams are running inference APIs, background processors, and event-driven AI components on Azure Container Apps Environments (CAE). CAE fits AI workloads well: it scales fast, scales to zero, and removes Kubernetes overhead. But once AI services need to securely reach private data sources, on-prem systems, vector databases, or external AI services, networking becomes the real design challenge. I’ve written a short, practical deep dive on how Consumption-based vs Workload-profile Container Environments behave from a networking perspective, what works, what doesn’t, and why it matters for modern AI platforms. 👉 Read the full article here: https://vakhsha.com/blog.html?post=blog-06
