DevOps / Cloud Course

The course will be a part time course, and will be run one session a week in the evening for 8 weeks between 6pm and 9pm. This will be an intense course, and learners will be required to do homework to ensure that they are getting the most from the course.

By the end of the course, students will be familiar with:

• Using GitHub Actions for DevOps
  • Creating a Pipeline
  • CI / CD
  • Test Automation
• Using AWS as a Cloud Platform
  • AWS CodeDeploy
  • Amazon EC2 Bucket
  • Databases

They will have been introduced to:

• Cloud Platforms and Services
• Clusters and Containerisation
• DevOps Pipelines
• CI/CD Tools
• Basics of Refactoring

Schedule

Session 1 - Welcome

• Course Introduction
• Learning Outcomes & Tooling
• Meet Each Other
• Coding Black Females background

Session 2 - DevOps

• Introduction to DevOps

• DevOps workflow image / philosophy (explain this is different in different places)

• What does it mean to be a DevOps Engineer

• Historical ways of working

• DevOps Pipelines

  • Continuous Integration
  • Continuous deployment vs Deployment as a service
  • Continuous feedback

• Exercise: Add xxx to their GitHub actions

• Homework: Different tools for CI/CD pipelines

Session 3 - DevOps

• CALMS Framework: Culture, Automation, Lean, Measurement, Sharing

• DevOps Metrics

  • Lead time for changes
  • Change failure rate
  • Deployment frequency
  • Mean time to recovery

• AWS Cloud Formation

• Exercise: AWS CodeDeploy / AWS Code Pipeline

Session 4 - DevOps

• DevSecOps

• Continuous Monitoring

• Test Automation

• Infrastructure As Code

• Exercise: Monitoring with AWS

Session 5 - Cloud

• Introduction to Cloud

  • History
  • Legacy vs Cloud
  • Benefits of cloud
  • Cloud Overview

• Introduction to Cloud Service Models

  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Function as a Service (FaaS)

• Introduction to Cloud Platforms

  • GCP
  • Azure
  • AWS
  • And More...

• Exercise: Create free account with AWS

Session 6 - Cloud

• What is AWS

  • AWS Services
  • AWS Fundamentals Core Concepts
  • AWS Global Infrastructure

• AWS Glossary

• Cloud Servers

  • EC2

• Databases

  • AWS RDS

• Serverless (AWS Lambda / S3)

  • S3 Buckets [Storage]

• Exercise: Deploy Task Management App to AWS

Session 7 - Cloud

• AWS Pricing

  • How AWS Pricing Works
  • Getting Started with Cloud Acquisition
  • Securing Your AWS Cloud

• AWS Compute Services Overview

• Containerisation and Clusters

  • What is Containerisation & Clusters?
    • Benefits
    • Uses
  • Intro to Docker & Kubernetes
  • Containers and Clusters in AWS

• Serverless

  • Benefits of Serverless
  • AWS Lambda functions

Session 8 - Close

• Demos
• Certificates

Learn how the DevOps philosophy can provide a holistic way to look at software development, deployment, and operations Explore the various tools, technologies, and vocabularies surrounding the continuous integration ecosystem Get a foundational understanding of continuous delivery Run a controlled deployment with AWS Elastic Beanstalk Deploy a PHP application using Chef with Amazon OpsWorks Learn about the tasks that operations engineers need to address in order to keep a system up-and-running, with little or no downtime Learn how to monitor AWS Cloud systems by building a log aggregation system running the ELK stack (Elasticsearch, Logstash, and Kibana)

Resources:

• Calms Framework
• AWS CodeDeploy vs AWS CodePipeline