Containerized app hosting

AI agents increasingly drive demand for deployable, scalable application runtimes, background jobs, secure sandboxes, and developer tooling, making them materially relevant to containerized hosting decisions.

LLM workloads and AI-enabled applications increasingly shape deployment, scaling, GPU access, observability, and runtime requirements for container hosting.

Kubernetes is a foundational container orchestration technology that directly shapes deployment, scaling, networking, and operations choices for containerized application hosting.

Real-time and streaming workloads are a meaningful deployment use case for container platforms, influencing requirements for low latency, persistent connections, scaling, and event-driven architecture.

Secrets and credentials management is a durable security requirement for deploying and operating containerized applications, affecting configuration, access control, and production safety.