What kinds of workloads and event integrations does Knative support?

Knative supports three main workload shapes — Functions, HTTP-first services, and event-based workloads — plus an event integration layer that can pull events from existing services or define your own Kubernetes-integrated triggers handled by an event broker. It is the easiest way to build and run serverless workloads on Kubernetes, so it fits teams that already run Kubernetes and want serverless behavior without leaving the cluster.

The three workload patterns Knative covers

Knative describes its building blocks as Functions, HTTP-first, and Event-based. Each maps to a different kind of application.

Functions

Functions are application template patterns you can version and update. This is the workload shape to pick when you want a repeatable unit of deployment that behaves like a function-as-a-service: you define the function, version it, and update it over time rather than hand-managing a long-lived server process.

HTTP-first

HTTP-first workloads serve and scale HTTP/2, gRPC, and MCP. This is the pattern for request/response applications where traffic arrives over a network protocol and the platform scales the workload to match demand. If your application is a web service or an API, this is the relevant category.

Event-based

Event-based workloads route and handle asynchronous events just like HTTP. The key idea is that events are treated as a first-class traffic type alongside HTTP requests, so you can build consumers that react to events rather than only to inbound requests.

Event integrations

Beyond consuming events, Knative covers getting events into the system in the first place. Per the site, Event Integrations let you:

• Extract events from existing services — you don't have to rewrite a service to emit events in a new format; you can pull events out of what already exists.
• Define your own Kubernetes-integrated triggers — custom triggers are handled from the event broker, so routing logic lives in Kubernetes-native constructs rather than bespoke glue code.

The broker sits in the middle: triggers subscribe to it, and events flow from sources through the broker to the handlers you define.

How the components fit together

Knative has two main components, and they are designed to work together:

Serving and Eventing work together to automate and manage tasks and applications. A team that needs both request/response scaling and event routing uses both; a team that only needs one can adopt that component's pattern without the other.

Choosing based on your use case

• You have a request/response API or web service → HTTP-first. It serves and scales HTTP/2, gRPC, and MCP.
• You want a versioned, updatable deployable unit → Functions.
• You need to react to asynchronous events → Event-based, with triggers on the event broker.
• Your events already exist somewhere else → Event Integrations, which extract events from existing services.
• You need custom routing logic → define your own Kubernetes-integrated triggers.

Knative is described as pluggable and Kubernetes native, meaning it is built to be integrated and extended rather than used as a closed platform. It is a Cloud Native Computing Foundation graduated project, and the site points to a tutorial and cluster installation as the two entry paths.

One practical note: the site frames Knative as the easiest way to run serverless workloads on Kubernetes, so the prerequisite is a Kubernetes cluster. If you are not on Kubernetes, the value proposition is different from a standalone serverless platform.