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.

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.

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

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

Serverless and functions-as-a-service are a durable adjacent deployment model that directly shapes how developers choose to package, run, scale, and pay for applications.