book

Knative Cookbook

by Burr Sutter, Kamesh Sampath

April 2020

Intermediate to advanced

158 pages

3h 6m

English

O'Reilly Media, Inc.

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Why We Wrote This BookWho Should Read This BookConventions Used in This BookUsing Code ExamplesStaying Up to DateO’Reilly Online LearningHow to Contact UsAcknowledgments
1.1. Installing the Required Tools1.2. Setting Up a Kubernetes Cluster1.3. Installing the Internal Kubernetes Container Registry1.4. Configuring Container Registry Aliases1.5. Installing Istio1.6. Installing Knative1.7. Verifying the Container EnvironmentCreating Kubernetes Namespaces for This Book’s RecipesQuerying Kubernetes Resources
Knative Serving Deployment Model2.1. Deploying a Knative Service2.2. Updating a Knative Service Configuration2.3. Distributing Traffic Between Knative Service Revisions2.4. Applying the Blue-Green Deployment Pattern2.5. Applying the Canary Release Pattern
3.1. Configuring Knative Service for Autoscaling3.2. Observing Scale-to-Zero3.3. Configuring Your Knative Service to Handle Request Spikes3.4. Cold Start Latency
Usage Patterns4.1. Producing Events with Eventing Sources4.2. Receiving Events with Knative Eventing Sinks4.3. Deploying a Knative Eventing Service4.4. Connecting a Source to the Service4.5. Deploying an Apache Kafka Cluster4.6. Sourcing Apache Kafka Events with Knative Eventing4.7. Autoscaling with Apache Kafka and Knative Eventing4.8. Using a Kafka Channel as the Default Knative Channel4.9. Using Knative Channels and Subscriptions4.10. Using Knative Eventing Brokers and Triggers
5.1. Deploying Prometheus and Grafana5.2. Enable Prometheus for Metrics Collection5.3. Installing Jaeger5.4. Deploying Observable Test Services5.5. Customizing the kubectl Output Columns5.6. Restricting Knative Service VisibilityGrafana Dashboards5.7. Monitoring Autoscaling Metrics of a Knative Service5.8. Monitoring HTTP Performance Metrics of a Knative Service5.9. Tracing Knative Services with Jaeger
6.1. Installing Camel-K6.2. Configuring Camel-K to Build Faster6.3. Writing a Camel-K Integration6.4. Running Camel-K Integrations as Knative Serverless Services6.5. Using Knative Eventing with Camel-K6.6. Logging and Displaying CloudEvents Messages6.7. Wiring a CamelSource to a Knative Eventing Sink6.8. Applying Enterprise Integration Patterns with Camel-K6.9. Deploying a Data Producer6.10. Deploying a Data Processor6.11. Deploying an Event Subscriber6.12. Filtering Data with Knative Eventing
7.1. Installing Knative Serving7.2. Deploying a Knative Service7.3. Verifying and Invoking a Knative Service

Overview

Enterprise developers face several challenges when it comes to building serverless applications, such as integrating applications and building container images from source. With more than 60 practical recipes, this cookbook helps you solve these issues with Knative—the first serverless platform natively designed for Kubernetes. Each recipe contains detailed examples and exercises, along with a discussion of how and why it works.

If you have a good understanding of serverless computing and Kubernetes core resources such as deployment, services, routes, and replicas, the recipes in this cookbook show you how to apply Knative in real enterprise application development. Authors Kamesh Sampath and Burr Sutter include chapters on autoscaling, build and eventing, observability, Knative on OpenShift, and more.

With this cookbook, you’ll learn how to:

Efficiently build, deploy, and manage modern serverless workloads
Apply Knative in real enterprise scenarios, including advanced eventing
Monitor your Knative serverless applications effectively
Integrate Knative with CI/CD principles, such as using pipelines for faster, more successful production deployments
Deploy a rich ecosystem of enterprise integration patterns and connectors in Apache Camel K as Kubernetes and Knative components