Knative Eventing Installed Then What Next? - Aleksander Slominski & Lionel Villard, IBM

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Knative Eventing Installed Then What Next? - Aleksander Slominski & Lionel Villard, IBM
You have successfully followed documentation and installed Knative Eventing. Now you have channels, subscriptions, sources, sinks, brokers, triggers. How to make sense out of it? We are going to show what are use cases and what are the main differences between different components of Knative Eventing such as channels and brokers. We are going to show what is happening when we run an example event-driven serverless application. We will use the hands-on approach by comparing self-hosted Apache Kafka (Apache Strimzi) and SaaS versions (IBM Event Streams and Red Hat OpenShift Streams for Apache Kafka). We are also going to show what to do when you run into problems, how to troubleshoot and debug Knative Eventing. After this talk you should have a better understanding of how Knative Eventing works and what problems it was designed to solve.

[@satyampsoni]

00:08 Knative Quick Start provides a map for next steps 02:32 Consider limitations of the quick start and the need for a messaging system 07:12 Knative Eventing involves monitoring underlying Eventing provider and making scaling decisions for you. 09:34 Knative Eventing controllers run in the cluster and manage various components. 14:30 Using Knative Eventing and addressing challenges with ordering and persistence 17:13 Using event triggers to handle delays and ordering in application messages 21:57 Knative Eventing allows flexible configuration for event triggering. 24:09 Event aggregation and forwarding with Kafka broker 29:12 Knative Eventing provides auto scaling and easy setup 31:36 Integrating new providers and standard interfaces in Knative Eventing

[@chenzhiguo]

How can I get the ppt or pdf that the speaker showing.