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Knative

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Knative is a Kubernetes-based platform for building, deploying, and managing serverless and event-driven applications, adding automatic scaling and eventing capabilities on top of standard Kubernetes workloads.

Definition

Knative is a Kubernetes-based platform for building, deploying, and managing serverless and event-driven applications, adding automatic scaling and eventing capabilities on top of standard Kubernetes workloads.

Overview

Running serverless-style applications, where code scales automatically with demand and down to zero when idle, traditionally meant relying on a cloud provider's proprietary functions platform. Knative was created to bring that same experience to any Kubernetes cluster, letting teams run serverless workloads on their own infrastructure or across multiple clouds without being locked into a single vendor's function runtime. Knative is organized around two main components: Serving, which manages deploying containerized applications with automatic scale-to-zero and request-based autoscaling, and Eventing, which provides a standard way to route events between producers and consumers, integrating with sources like message queues or webhooks. Together they let developers deploy an application as a simple container and have Knative handle routing, scaling, and revision management automatically. Because it builds directly on Kubernetes primitives, Knative pairs naturally with service mesh tools like Istio for traffic management and can sit alongside traditional Kubernetes workloads in the same cluster. It's typically adopted by teams that want serverless-style scaling and developer experience without giving up the portability and control that comes from running on their own Kubernetes infrastructure, an approach also explored in SkillVeris's Serverless Architecture course.

Key Features

  • Automatic scale-to-zero and request-based autoscaling for containers
  • Knative Serving for managing application revisions and traffic splitting
  • Knative Eventing for standardized event routing between services
  • Built directly on top of standard Kubernetes primitives
  • Vendor-neutral serverless experience across any Kubernetes cluster
  • Gradual traffic rollout support for new application revisions
  • Integration with service meshes for advanced traffic management

Use Cases

Running serverless applications on self-managed Kubernetes clusters
Auto-scaling workloads down to zero during idle periods
Building event-driven architectures with standardized event routing
Avoiding vendor lock-in compared to cloud-specific functions platforms
Gradually rolling out new application versions with traffic splitting
Running mixed serverless and traditional workloads in one cluster

Frequently Asked Questions