Containerized app hosting

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

OpenTelemetry is a durable, widely adopted observability standard that directly affects how containerized applications are instrumented, monitored, and operated.

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.

Observability and distributed tracing are directly relevant to operating containerized applications, where distributed services, ephemeral workloads, and deployment complexity make diagnosis and performance management essential.

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.