Nex-G Innovations

Module 1 - Virtualization Concepts

Module 1.1 - Virtualization – Overview

• Types of Virtualization
• Understanding Different Types of Hypervisors
• Understanding Local Virtualization and Cloud

Module 1.2 - Virtualization – Advantages & Disadvantages

• Advantages of Virtualization
• Disadvantages of Virtualization

Module 1.3 - Virtualization Applications

• Virtualizing Desktop Computers
• Running a Specific Program Solution
• Setting up Test and Development Environments

Module 1.4 - Virtualization – Hardware

• Understanding Virtual CPU
• Understanding Virtual Memory
• Understanding Virtual Storage
• Understanding Virtual Networking

Module 1.5 - Virtualization – Preparing the Infrastructure

• Understanding Different File Systems
• Choosing Between Different Types of Storage

Module 1.6 - Virtualization – Troubleshooting

• Troubleshooting Network Communication
• Troubleshooting Slow Performance

Module 1.7 - Virtualization – Backing Up, Restoring & Migrating VM

• Duplicating a VM
• Backing Up and Recovering a VM
• Migrating VM

Module 2 –Containerization Concepts With Docker

Module 2.1 – Introduction to Containers

• Containers Versus VMs
• Docker and Containers
• Plugins and Plumbing
• 64-Bit Linux

Module 2.2 - Docker Fundamentals

• The Docker Architecture
• Underlying Technologies
• Surrounding Technologies
• Docker Hosting
• How Images Get Built
• The Build Context
• Image Layers
• Caching
• Base Images
• Dockerfile Instructions
• Connecting Containers to the World
• Linking Containers
• Managing Data with Volumes and Data Containers
• Sharing Data
• Data Containers
• Common Docker Commands
• The run Command
• Managing Containers
• Docker Info
• Container Info
• Dealing with Images
• Using the Registry

Module 2.3 – Docker Installation

• Installing Docker on Linux
• Run SELinux in Permissive Mode
• Running Without sudo

Module 2.4 – Docker Basic Practical

• Running Your First Image
• The Basic Commands
• Building Images from Dockerfiles
• Working with Registries
• Private Repositories
• Using the Redis Official Image

Module 2.5 - Using Docker in Development

• Say “Hello World!”
• Automating with Compose
• The Compose Workflow

Module 2.6 - Image Distribution

• Image and Repository Naming
• The Docker Hub
• Automated Builds
• Private Distribution
• Running Your Own Registry
• Commerical Registries
• Reducing Image Size
• Image Provenance

Module 2.7 - Continuous Integration and Testing with Docker

• Adding Unit Tests to Identidock
• Creating a Jenkins Container
• Triggering Builds
• Pushing the Image
• Responsible Tagging
• Staging and Production
• Image Sprawl
• Using Docker to Provision Jenkins Slaves
• Backing Up Jenkins
• Hosted CI Solutions
• Testing and Microservices
• Testing in Production

Module 2.8 - Deploying Containers

• Provisioning Resources with Docker Machine
• Using a Proxy
• Execution Options
• Shell Scripts
• Using a Process Manager (or systemd to Rule Them All)
• Using a Configuration Management Tool
• Host Configuration
• Choosing an OS
• Choosing a Storage Driver
• Specialist Hosting Options
• Triton
• Google Container Engine
• Amazon EC2 Container Service
• Giant Swarm
• Persistent Data and Production Containers
• Sharing Secrets
• Saving Secrets in the Image
• Passing Secrets in Environment Variables
• Passing Secrets in Volumes
• Using a Key-Value Store 169
• Networking
• Production Registry
• Continuous Deployment/Delivery

Module 2.9 - Orchestration, Clustering, and Management

• Clustering and Orchestration Tools
• Swarm
• Fleet
• Kubernetes
• Mesos and Marathon
• Container Management Platforms
• Rancher
• Clocker
• Tutum

Module 3 – Docker Orchestration with Kubernetes

Module 3.1 - Introduction to Kubernetes

• Introduction to YAML
• Basics of YAML
• YAML Structure
• Syntax of YAML
• Introduction to Virtualization
• Introduction to Containerization
• Virtualization vs Containerization
• Introduction to Kubernetes

Module 3.2 - Kubernetes Architecture

• Introduction to Kubernetes Master
• kube-apiserver
• etcd key-value store
• kube-scheduler
• kube-controller-manager
• cloud-controller-manager
• Components of Cloud Controller Manager - Node Controller, Volume Controller, Route Controller, Service Controller
• Introduction to Node Components of Kubernetes
• Docker
• kubelet
• kube-proxy
• kubectl
• Add-ons in Kubernetes: Cluster DNS, Kubernetes Dashboard, Container Resource Monitoring, Cluster level logging

Module 3.3 - Deploy an app to Kubernetes Cluster

• Introduction to Pods
• Why do we need a Pod?
• Pod Lifecycle
• Working with Pods to manage multiple containers
• Pod Preset
• What is a Node?
• kubectl basic commands
• Containerized app deployment on local kubernetes cluster
• GCP (Ephemeral) volumes

Module 3.4 - Expose App, Scale App And Update App in Kubernetes

• What is a Service?
• Labels and Selectors
• Deployment Controller
• Replica Set
• Replication Controller
• Scaling out a deployment using replicas
• Horizontal pod autoscaler
• Load balancing
• Rolling Update
• Ingress and its types

Module 3.5 - Managing State with Deployments

• Stateful set
• Pod management policies: OrderedReady, Parallel
• Update strategies: OnDelete, Rolling Update
• Headless services
• Persistent Volumes

Module 3.6 - Federations, Auditing and Debugging Kubernetes, Security Best Practices

• Federated clusters
• Debugging by looking at events such as: Pending Pods, Unreachable nodes
• Auditing and accessing logs in Kubernetes – Log collectors and audit policy
• Security best practices in Kubernetes

Module 3.7 - Handling the Kubernetes Package Manager

• Understanding Helm
• The motivation for Helm
• The Helm architecture
• Helm components
• The Tiller server
• The Helm client
• Using Helm
• Installing Helm
• Installing the Helm client
• Installing the Tiller server
• Finding charts
• Installing packages
• Checking installation status
• Customizing a chart
• Additional installation options
• Upgrading and rolling back a release
• Deleting a release
• Working with repositories
• Managing charts with Helm
• Taking advantage of starter packs
• Creating your own charts
• The Chart.yaml file
• Versioning charts
• The appVersion field
• Deprecating charts
• Chart metadata files
• Managing chart dependencies
• Managing dependencies with requirements.yaml
• Utilizing special fields in requirements.yaml
• Using templates and values
• Writing template files
• Embedding predefined values
• Feeding values from a file
• Scope, dependencies, and values