At the end of this workshop, you will be comfortable with designing, deploying, managing, monitoring and updating a coordinated set of applications running on Kubernetes.
Distributed application architectures are hard. Building containers and designing microservices to work and coordinate together across a network is complex. Given limitations on resources, failing networks, defective software, and fluctuating traffic you need an orchestrator to handle these variants. Kubernetes is designed to handle these complexities, so you do not have to. It's essentially a distributed operating system across your data center. You give Kubernetes containers and it will ensure they remain available.
Kubernetes continues to gain momentum and is quickly becoming the preferred way to deploy applications.
In this workshop, we’ll grasp the essence of Kubernetes as an application container manager, learning the concepts of deploying, pods, services, ingression, volumes, secrets, and monitoring. We’ll look at how simple containers are quickly started using a declarative syntax. We'll build on this with a coordinated cluster of containers to make an application. Next, we will learn how Helm is used for managing more complex collections of containers. See how your application containers can find and communicate directly or use a message broker for exchanging data. We will play chaos monkey and mess with some vital services and observe how Kubernetes self-heals back to the expected state. Finally, we will observe performance metrics and see how nodes and containers are scaled.
Come to this workshop the learn how to deploy and manage your containerized application. On the way, you will see how Kubernetes effectively schedules your application across its resources.
Optionally, for more daring and independent attendees, you can also replicate many of the exercises on your local laptop with Minikube or Minishift. There are other Kubernetes flavors as well. However, if during the workshop you are having troubles please understand we cannot deviate too far to meet your local needs. If you do want to try some of the material locally this stack is recommended:
- Linux, Windows 10 or MacOS laptop with 4 core processor (I7 equivalent) 16 gig memory. Ensure your CPU virtualization BIOS switch is turned on. Some company issued laptops may lock this access.
- Preinstall the latest versions of Minikube, KubeCtl, and Helm.
- Minikube works best with a recent version of VirtualBox.
Some of the topics we will explore:
- Using Minikube, KubeCtl and Helm
- Kubernetes Architecture and terminology
- Resilience with declarative states and the reconciliation loop
- Kubernetes REST API
- Components: Etcd, Scheduler, Controller, Kubelet
- Namespaces
- Kinds: Pod, Service, Deployment, ReplicaSet, Ingress
- Labels and selectors
- Etcd, ConfigMaps, Secrets
- Volumes and mounts
- Ingress
- Helm and charts
- Container patterns
- Probes, Logging, monitoring, and troubleshooting
- Scaling
- Standard and custom resources
- Operators
- Istio
- Kubernetes ecosystem for software engineers
These concepts are presented and reinforced with hands-on exercises:
- Advantages of distributed computing
- History and rise of Kubernetes
- Cloud native computing foundation
- Architecture and terms and how it works
- Deploying and running applications
- Kubernetes objects - Deployment, Pods, ConfigMaps, Jobs, Secrets, Ingress, Volumes and many more
- Container patterns
- Serverless
- Istio Meshing
- Monitoring
You will leave with a solid understanding of how Kubernetes actually works and a set of hands-on exercises your can share with your peers. Bring a simple laptop with a standard browser for a full hands-on experience.
Zero fluff.