DevOps Automation with ChatGPT: From Beginner to Expert

Explore module two by using chatgpt plugins for pdfs, real-time browser data, architectural diagrams, terraform for ecs and acr, building containers via shell scripts, and Dall-E three visuals.

Enable ChatGPT plugins for browsing, PDF creation, and whimsical diagrams to convert notes into PDFs and visualize architectures. Manage plugin sessions and leverage real-time browser data to enhance DevOps workflows.

Learn to generate Terraform code for AWS ECR and automate container deployment to ECS with a load balancer, including ECR creation, authentication, plan and apply workflows.

Automate infrastructure deployment and docker image push with shell scripts, using Terraform to create and authenticate to ECR. Build, tag, and push the Docker image to ECR from local workspaces.

Leverage Terraform to build and deploy an AWS ECS app, generating and integrating ECR, ECS, and networking resources, with dynamic ECR URL references and visual diagrams.

Convert generated terraform code into clear architecture, comparing single tier, two tier, and three tier designs, and create a LinkedIn post and a readme to document the deployment.

Explore dalle-3 for high-quality image generation and branding assets, while converting conversations into tabular formats, sheets, or PDFs, and review Terraform scripts for a two-tier architecture with a load balancer.

Learn to craft infrastructure stories as a DevOps engineer with prompt perfect, build a CodePen UI, and convert mermaid diagrams into infrastructure visuals using real-time data via Bing.

Learn how business analysts convert infrastructure requirements into developer-ready stories using the prompt perfect plugin, outlining local builds, S3 deployment, IAC, testing, and kanban grooming.

Build and prototype a Terraform GPT UI using HTML, CSS, and JavaScript. Explore prompt-based code generation and CodePen visualization, with GPT-3/4 API calls and an API key.

Generate a mermaid diagram and convert it into a three-tier infrastructure diagram using lucid or draw.io, with deployment on S3, ECS, or EKS and static assets.

Learn how ChatGPT's advanced data analysis reads uploaded files, browses real-time data when available, and outputs Terraform resource details—from ECR and ECS to IAM roles—in clear tabular or bullet formats.

Demonstrates how to browse the web in real time with Bing via ChatGPT, fetching live HashiCorp updates, Terraform licensing controversy, and OpenTofu, with links and summaries.

Build, analyze, and optimize a YAML-based CI/CD pipeline for infrastructure. Learn to understand and convert pipelines across GitLab, GitHub, and other tools, improving efficiency from day one.

Learn how to integrate your chat ops platform with AWS using Kubiya.ai, configure an IAM role with policies, and list S3 buckets and roles.

Learn to create and manage an AWS S3 bucket with Kubiya.ai, including checking existence, permissions, creating, listing, and deleting buckets in a few commands.

Shows how to use a chatops assistant to add tags and a 30-day lifecycle policy to an S3 bucket, and list the resulting lifecycle rules.

A security engineer uses Kubiya to check and turn off public access for a bucket, then verifies that restrict public access is true and public access is blocked.

Explore policy permission management using Kubiya to list policies starting with Kubiya, create a Kubiya policy for EKS with full access, and attach it to a new role.

Create a Kubiya role, then automatically attach the Kubiya policy to it in the console, verify the policy attachment, and confirm the role is ready.

Explore pro mode in Kubiya to generate and apply terraform resources, including an S3 bucket named eco Kubiya Terraform, via init, plan, apply, and destroy workflows.

Create three S3 buckets with random names using a Terraform for loop inside a pro mode container, and follow the init, plan, and apply steps to provision resources with Kubiya.

Explore how Kubiya’s dashboard centralizes governance and policy management for aws, s3 and Terraform workflows, tracks actions and hours saved, and supports user groups and secrets management.

Learn to generate and deploy an AWS EKS Kubernetes cluster using Terraform code from a public repository with Kubiya, including init, plan, and apply steps.

Connect a Kubiya runner to your Kubernetes cluster via Slack with slash manage, create a runner, and apply the YAML to Minikube to validate the connection.

Integrate a Kubernetes cluster with Kubiya via a user interface dashboard or Slack, deploying manifests and creating a runner to establish a healthy tunnel between minikube and Kubiya.