Docker – 10Hrs

1. Docker Introduction – (1hr)

• What is Docker?
• Why Docker?
• Containerization v/s Virtualization
• Docker Architecture
• Understanding the Docker components
• Docker Terminologies
• Docker Internals

2. Docker Installation – (1hr)

• Docker Editions
• Hardware and Software Requirements
• Installing Docker
• Docker Config Files and Settings
• Lab: Installing Docker on Linux

3. Managing Container Lifecycle –(2hrs)

• Creating, Starting and Listing Containers
• Attaching and Detaching from Container
• Fetching Container details using “inspect”
• Executing Commands inside a Container
• Pause, Stop, Start, Restart and Kill a Container
• Container Metrics via stats
• Limiting Memory and CPU utilization
• Storage Utilization of a Container
• Expose Container Application using Host Port
• Lab: Managing Container Lifecycle

4. Working with Docker Images –(2hrs)

Searching, Filtering and Pulling Images

• Docker Image save/load
• Commit Container State
• Understanding Docker Image Directives
• Understanding the use of Base Images
• Building Custom Images using Dockerfile
• Understanding Image Layers
• What is “FROM scratch”?
• RUN vs CMD
• COPY vs ADD
• Publishing the Custom Image
• Flatten an Image using export/import
• Tagging Images
• Working with Docker Hub
• Pushing Docker Images to Docker Hub
• Lab: Working with Docker Images
• Lab: Building Custom Images Lab: Working with Docker Hub

5. Docker Volume Management – (2hrs)

• Understanding need of Volume service in Docker
• Understanding various Volume Plug-ins
• Create and Manage Volumes
• Start a container with a Volume
• Populate data in a Volume using a Container
• Use a read-only Volume
• Migrating Volumes between Containers
• Lab: Creating and Manage volumes

6. Docker Networking – (2hrs)

• Understanding various Network Plug-ins
• Understanding the default Docker Networking
• Working with Bridge Network
• Working with Host and None Networks
• Lab: Managing Docker Networking

Kubernetes – (30 Hrs)

1. Kubernetes Platform – (1hr)

• Orchestration and Various Tools
• History of Kubernetes
• Features of Kubernetes
• What Kubernetes is not!
• Kubernetes Versions

2. Kubernetes Architecture –(1hr)

• Kubernetes Terminology
• Kubernetes Components
• Kubernetes Cluster Architecture
• Understanding Kubernetes Master Components
• Kube-apiserver
• ETCD
• Kube-scheduler
• Kube-controller
• Kube-DNS
• Understanding Kubernetes Node Components
• Kube-proxy
• Kubelet
• Container Runtime
• Understanding the difference between the master and worker nodes

3. Kubernetes Setup and Validation –(4 hr)

• Understanding different tools for deploying Kubernetes Cluster
• Release Binaries, Provisioning and Types of Clusters
• Building the Kubernetes Cluster using kind
• Installing Kubernetes Master and Nodes
• Configuring Secure Cluster Communications
• Testing the Cluster
• Lab: Deploying Kubernetes Cluster using Kubeadm
• Lab: Adding Nodes to Kubernetes Cluster

4. Working with Pod – (4hrs)

• Pod Overview
• Creating a Pod with imperative syntax
• Creating a Pod with declarative syntax
• Reading the Pod's information and metadata
• Listing the objects in JSON or YAML
• Backing up your resource using the list operation
• Getting more information from the list operation
• Entering a container inside a Pod
• Deleting a Pod
• Understanding Pod Lifecycle
• Multi-container Pod
• Concrete scenarios where you need multi-container Pods
• When not to create a multi-container Pod
• Creating a Pod made up of two containers
• What happens when Kubernetes fails to launch one container in a Pod?
• Deleting a multi-container Pod
• Understanding the Pod deletion grace period
• Accessing a specific container inside a multi-container Pod
• Running commands in containers
• Overriding the default commands run by your containers
• Static Pod
• Init Containers
• Sidecar container pattern
• Labelling and annotating the Pods
• What are labels and why do we need them
• What are annotations and how do they differ from labels
• Adding a label
• Listing labels attached to a Pod
• Adding or updating a label to/of a running Pod
• Deleting a label attached to a running Pod
• Adding an annotation
• Lab: Imperative Commands and Formatting Output with kubectl
• Lab: Working with Single Container Pods
• Lab: Creating multi container Pod 
• Lab: Creating init container Pod 
• Lab: Working with Static Pod
• Lab: Working with label and selector

5. Application Lifecycle Management using Kubernetes Controllers –(4hrs)

Controllers:

• Creating a ReplicaSet object
• Testing the behavior of ReplicaSet
• Scaling ReplicaSet
• Deleting a ReplicaSet object
• Creating a Deployment object
• Exposing Deployment Pods using Service objects
• Scaling a Deployment object
• Deleting a Deployment object
• How does a Deployment object manage revisions and version rollout?
• Updating a Deployment object
• Rolling back a Deployment object
• Deployment object best practices
• Use declarative object management for Deployments
• Do not use the Recreate strategy for production workloads
• Do not create Pods that match an existing Deployment label selector
• Carefully set up your container probes
• Use meaningful and semantic image tags
• Migrating from older versions of Kubernetes
• Lab: Deploying Application using Replication Controller
• Lab: Deploying Application using Replica Set
• Lab: Rolling Updates and Rollbacks using Deployment
• Lab: Deploying Application using Daemon Set
• Lab: Deploying StatefulSet Application 
• Lab: Deploying Multi-Tier Application
• Lab: working with Job and CronJob

6. Logging and Monitoring – (2hrs)

• Describe Resources
• Pod/container logs
• Metric Server & top command
• Events
• Lab: Working on Logs and Events 
• Lab: Working with Metric Server 
• Lab: working with HPA

7. kubernetes Networking and Service – (3hrs)

• Cluster Communications
• Pod and Node Networking
• Container Network Interface (CNI)
• Service Networking
• ClusterIP, NodePort & Load Balancer
• Understanding Pod IP assignment
• Understanding Pod IP assignment is dynamic
• Never hardcode a pod's IP addresses in your application code
• Understanding how services route traffic to Pods
• Understanding how DNS names are generated for services
• Understanding the different types of services
• Why do you need ClusterIP services?
• ClusterIP services to expose my Pods?
• Listing ClusterIP services
• Creating ClusterIP services using the imperative way
• Describing ClusterIP services
• Creating ClusterIP services using the declarative way
• Deleting ClusterIP services
• Understanding headlessservices
• Why do you need NodePort services?
• Understanding NodePort
• Making sure NodePort works as expected
• Listing NodePort services
• Adding more Pods to NodePort services
• Describing NodePortservices
• Deleting NodePort services
• NodePort or kubectl port-forward?
• Ingress Rules
• Cluster DNS
• Lab: Exposing Applications using various types of Services
• Lab: Install and Configure Ingress Controller to expose nginx based Service

8. Working with Kubernetes Scheduler (Advance Scheduling) (3hrs)

• Pod Scheduling within the Kubernetes Cluster
• Configuring the Kubernetes Scheduler
• Running Multiple Schedulers for Multiple Pods
• Node Name Taints, Tolerances, Node Selector, labels & Selectors
• Taint vs Tolerations vs Node Affinity/AntiAffinity
• Scheduling Pods with Resource Limits and Label Selectors
• Displaying Scheduler Events

9. Storage – (3hrs)

• Managing Data in the Kubernetes Cluster
• EmptyDir, hostPath, PV, PVC, StorageClass
• Volume Access Modes
• Applications with Persistent Storage
• ConfigMaps
• Secrets
• Lab: Working with Kubernetes Volume Service 
• Lab: Configuring Dynamic Volume Service 
• Lab: Working with ConfigMaps and Secrets

10. Application Health – (3hrs)

• Application LivenessProbe
• What is LivenessProbe and why do you need it?
• Implementing LivenessProbe
•  Application ReadinessProbe
• Why do you need ReadinessProbe?
• Implementing ReadinessProbe
• Using ReadinessProbe and LivenessProbe together
• Application Startupprobe
• Lab: Working with LivenessProbe and ReadinessProbe

11. Kubernetes in Azure (2Hrs)

• Introduction to AKS
• Create Azure Container Registry
• Deploy a sample app in AKS