Implementing Red Hat OpenShift Serverless: Requirements, Knative, & Kafka

AI investigates a comprehensive guide for implementing and managing Red Hat OpenShift Serverless and related cloud-native observability tools. The materials outline specific hardware requirements, such as the need for 10 CPUs and 40GB of memory, while detailing the installation of Knative components for serving and eventing. Integration with Apache Kafka and OpenTelemetry is emphasized to facilitate robust message streaming and distributed tracing across clusters. Furthermore, the sources describe the shared responsibility model for Red Hat OpenShift Service on AWS (ROSA), covering cluster architecture and identity management. Instructions for the Knative CLI and Podman are also provided to streamline the development and deployment of serverless functions. Finally, the guides include administrative procedures for monitoring metrics, managing logs, and executing version upgrades to maintain system health.