DevOps Uncomplicated: Hands-On Automation

Explore cloud computing with AWS and Azure for DevOps, focusing on virtual machines and storage like S3 and blob storage, with automation via CLI and infrastructure as code.

Create and configure a basic AWS VPC network using the portal wizard, including public and private subnets, an internet gateway, a NAT gateway, and route tables for controlled internet access.

Navigate the Azure portal, claim a free account with $200 credit for 30 days, and learn to organize resources with resource groups and cloud shell.

Store log files and tf state in an Azure storage account container for automation pipelines, then practice provisioning and deleting to avoid costs.

Master the Linux command line for automation by navigating directories, managing files, and viewing logs to empower scripts, containers, and cloud workflows in DevOps.

Explore Linux automation concepts, including permissions, environment variables, and script structure; learn to build dynamic shell scripts with chmod, sudo, variables, conditionals, loops, and logs.

Explore hands-on linux directory management in the terminal, using mkdir -p, cd, and pwd to create and navigate folders, and touch, cp, mv, and rm for file operations and automation.

Master Linux file permissions and ownership by checking and modifying permissions, changing owner and group, and using chmod and chown to secure scripts and files.

Install Git on your machine, verify the version, and configure global user name and email so all commits include author information as you begin the hands-on labs.

create and clone a repository, generate an ssh key, and configure secure ssh access to a remote git host for seamless command-line collaboration.

Create a feature branch from main, commit Terraform files, push to a remote, and manage a GitHub pull request to merge changes from feature to develop to main.

Master hands-on Linux directory and file management in a Ubuntu environment, using mkdir -p, ls, touch, cp, mv, rm, rmdir, and pwd to create, list, copy, move, and delete directories.

Orchestrate multiple containers with Docker Compose to run a node app and a PostgreSQL database, creating a reproducible development environment with a single configuration file.

Convert manual Azure CLI VM creation into a Bash automation script for bulk deployment, using a resource group, a create-vm function, a VM list loop, and no-wait provisioning.

Create a Kubernetes cluster with Terraform by provisioning infrastructure in Azure, configuring the Kubernetes and Helm providers, and authenticating with kubeconfig using base64 decoding.

Define variables and a main.tf data block to deploy an AKS cluster with a two-node default pool in Terraform, and explain Azure’s two resource groups and control plane separation.

Master hands-on Ansible automation by managing users with playbooks and modules, creating users, directories, and log files, and validating permissions with shell commands and host targets.

Run and validate the pipeline end-to-end in Azure, deploy with Terraform, and verify outputs like the NSG and IP, then install Ansible, update the OS, Docker, and verify port 8081.

Demonstrates a pipeline that automatically destroys Azure infrastructure built with Terraform, validating deployment steps while tearing down resources such as NSG, VM, and a network interface to avoid costs.

Expose your Kubernetes deployment to the internet with a load balancer service, mapping port 80 to 8081, and scale to five replicas for high availability.

Learn to isolate development, staging, and production within one Kubernetes cluster by creating separate namespaces, deploying the same app in each, and verifying isolation with kubectl commands.

Expose your Kubernetes app using ingress with a dynamic domain, configure NGINX ingress, define host, path, and back end, and test via Swagger.