Coverage Matrix

Chkk Curated Release Notesv1.7.4 to latest
Private RegistrySupported
Custom Built ImagesSupported
Safety, Health, and Readiness Checksv1.8.6 to latest
Supported PackagesHelm, Kustomize, Kube
EOL InformationAvailable
Version Incompatibility InformationAvailable
Upgrade TemplatesIn-Place, Blue-Green
PreverificationAvailable

Knative Eventing Overview

Knative Eventing is an open-source framework enabling event-driven architectures on Kubernetes. It provides custom APIs to route events from producers (sources) to consumers (sinks) using standard HTTP and CloudEvents protocols. The framework decouples event publishers from subscribers, allowing event distribution without predetermined endpoints. Knative supports multiple backing channels, such as Kafka, to ensure reliability and scalability. It seamlessly integrates with Knative Serving and standard Kubernetes services to trigger serverless functions and microservices.

Chkk Coverage

Curated Release Notes

Chkk monitors official Knative Eventing releases, highlighting features, breaking changes, and deprecated APIs relevant to your deployments. It provides concise summaries, such as Kubernetes version requirements or newly introduced event types, allowing proactive configuration adjustments. By emphasizing operational impacts, Chkk helps prevent upgrade-related disruptions. This curated approach enables teams to act quickly on important changes, ensuring stable event pipelines.

Preflight & Postflight Checks

Before upgrades, Chkk runs comprehensive checks to validate Kubernetes compatibility, detect deprecated APIs, and identify resource constraints. These preflight checks help avoid known pitfalls like unsupported version jumps or CRD schema conflicts. After upgrades, postflight checks confirm that all Knative Eventing pods are healthy, and verify normal event flow and delivery. Chkk quickly identifies problems such as failing webhooks, broker misconfigurations, or dropped events, ensuring smooth upgrades.

Version Recommendations

Chkk continuously tracks Knative Eventing support timelines, alerting when your current version approaches or surpasses end-of-life. Leveraging official community guidance, it flags risks associated with outdated versions, including lack of security patches or incompatibility with Kubernetes updates. Chkk recommends stable upgrade targets based on known issues and community feedback. Custom vendor builds or support timelines can also be integrated, ensuring your event infrastructure remains compliant and reliable.

Upgrade Templates

Chkk offers structured Upgrade Templates covering both in-place and blue-green upgrade strategies aligned with Knative’s best practices. In-place upgrades directly update existing deployments, minimizing complexity but briefly impacting event handling. Blue-green upgrades involve parallel deployments and gradual traffic shifting, significantly reducing event loss risk when migrating to the freshly provisioned green cluster as part of a cluster-wide Blue-green upgrade. Each template includes detailed, step-by-step instructions with rollback points, ideal for integrating into CI/CD or GitOps workflows to reduce operational errors.

Preverification

Chkk’s Preverification creates a simulated environment mirroring your current Knative Eventing deployment to rehearse upgrades safely. This dry-run approach identifies issues like webhook failures, CRD incompatibilities, or unexpected resource consumption before impacting production. By proactively resolving these findings, you reduce upgrade risks and downtime. Incorporating Preverification into your upgrade workflow ensures greater predictability and reliability of event-driven infrastructure changes.

Supported Packages

Chkk supports multiple installation methods including Helm, Kustomize, Operator-based installs, and standard Kubernetes YAML manifests. It seamlessly integrates with existing GitOps and CI/CD workflows, understanding custom images, private registries, and vendor-specific configurations. Chkk precisely identifies necessary manifest changes, avoiding unintended defaults. This flexibility maintains consistency across upgrades and simplifies event-driven infrastructure management.

Common Operational Considerations

  • In-Memory Broker Limitations: The default in-memory channel risks event loss during restarts. For production-grade reliability, implement a durable broker (e.g., Kafka) and monitor its health closely.
  • Event Delivery Failures: Misconfigured or unavailable sinks cause events to accumulate or disappear unnoticed. Always configure Dead Letter Sinks and regularly verify trigger sink URIs to avoid silent failures.
  • Cross-Namespace Isolation: Knative restricts event routing to single namespaces by default. Explicitly configure permissions or deploy producers and consumers in shared namespaces if cross-namespace routing is needed.
  • Service Mesh & mTLS Compatibility: Strict mTLS policies in service meshes like Istio can block event deliveries. Label eventing namespaces for sidecar injection or explicitly configure mesh policies to allow Knative Eventing traffic.
  • Resource Footprint at Scale: Eventing components scale resource use proportionally with event volume and complexity. Set appropriate resource requests/limits and utilize multi-tenant broker configurations to manage resource overhead efficiently.
  • Observability and Debugging: Tracing event flow issues requires detailed logging and tracing. Enable Knative’s built-in tracing, aggregate logs centrally, and proactively monitor key metrics like event delivery rates and dead-letter events.

Additional Resources