Microsoft DevOps Engineer Expert

This course provides the knowledge and skills to design and implement DevOps processes and practices. Learnerwill learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

Course Intended Learning Outcomes (ILO):

Learners will be able to Develop an instrumentation strategy
Learners will be able to Develop a Site Reliability Engineering (SRE) strategy
Learners will be able to Develop a security and compliance plan
Learners will be able to Manage source control
Learners will be able to Facilitate communication and collaboration
Learners will be able to Define and implement continuous integration
Learners will be able to Define and implement a continuous delivery and release management strategy

Who should attend:

Learners interested in designing and implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.
Learner holding a B.Sc. Qualification in (Computer Engineering, Network Engineering, Information System)

Personal Impact:

Professional skill development in Azure Cloud
Able to apply professional skills in to job
Professional certificate
Enhancing career development.

Organizational Benefits

Increase productivity
Works will be professional
Moves to cloud from on premises
Implementing new technology
Time saving.
Increasing reputation.

Certificate and Professional Qualification

Duration of the course: 40 Hours

Certification: Microsoft Certified DevOps Engineer Expert

Exam Code: AZ-400

Daily Outline

Designing and Implementing Microsoft DevOps Solutions:

Planning for DevOps

Transformation Planning
Project Selection
Team Structures
Migrating to Azure DevOps

Getting Started with Source Control

What is Source Control
Benefits of Source Control
Types of Source Control Systems
Introduction to Azure Repos
Introduction to GitHub
Migrating from Team Foundation Version Control (TFVC) to Git in Azure Repos

Managing Technical Debt

Identifying Technical Debt
Knowledge Sharing within Teams
Modernizing Development Environments with Codespaces

Working with Git for Enterprise DevOps

How to Structure Your Git Repo
Git Branching Workflows
Collaborating with Pull Requests in Azure Repos
Why Care About Git Hooks
Fostering Inner Source
Managing Git Repositories

Configuring Azure Pipelines

The Concept of Pipelines in DevOps
Azure Pipelines
Evaluate use of Hosted versus Self-Hosted Agents
Agent Pools
Pipelines and Concurrency
Azure DevOps and Open-Source Projects (Public Projects)
Azure Pipelines YAML versus Visual Designer

Implementing Continuous Integration using Azure Pipelines

Continuous Integration Overview
Implementing a Build Strategy
Integration with Azure Pipelines• Integrating External Source Control with Azure Pipelines
Set Up Self-Hosted Agents

Managing Application Configuration and Secrets

Introduction to Security
Implement a Secure Development Process
Rethinking Application Configuration Data
Manage Secrets, Tokens, and Certificates
Integrating with Identity Management Systems
Implementing Application Configuration

Implementing Continuous Integration with GitHub Actions

GitHub Actions
Continuous Integration with GitHub Actions
Securing Secrets for GitHub Actions

Designing and Implementing a Dependency Management Strategy

Packaging Dependencies
Package Management
Migrating and Consolidating Artifacts
Package Security
Implementing a Versioning Strategy

Designing a Release Strategy

Introduction to Continuous Delivery
Release Strategy Recommendations
Building a High-Quality Release pipeline
Choosing the Right Release Management Tool

Implementing Continuous Deployment using Azure Pipelines

Create a Release Pipeline
Provision and Configure Environments
Manage and Modularize Tasks and Templates
Configure Automated Integration and Functional Test Automation
Automate Inspection of Health

Implementing an Appropriate Deployment Pattern

Introduction to Deployment Patterns
Implement Blue Green Deployment
Feature Toggles
Canary Releases
Dark Launching
AB Testing
Progressive Exposure Deployment

Managing Infrastructure and Configuration using Azure Tools

Infrastructure as Code and Configuration Management
Create Azure Resources using ARM Templates
Create Azure Resources using Azure CLI
Azure Automation with DevOps
Desired State Configuration (DSC)

Third Party Infrastructure as Code Tools Available with Azure

Chef
Puppet
Ansible
Terraform

Managing Containers using Docker

Implementing a Container Build Strategy
Implementing Docker Multi-Stage Builds

Creating and Managing Kubernetes Service Infrastructure

Azure Kubernetes Service
Kubernetes Tooling
Integrating AKS with Pipelines

Implementing Feedback for Development Teams

Implement Tools to Track System Usage, Feature Usage, and Flow
Implement Routing for Mobile Application Crash Report Data
Develop Monitoring and Status Dashboards
Integrate and Configure Ticketing Systems

Implementing System Feedback Mechanisms

Site Reliability Engineering
Design Practices to Measure End-User Satisfaction
Design Processes to Capture and Analyze User Feedback
Design Processes to Automate Application Analytics
Managing Alerts
Blameless Retrospectives and a Just Culture

Implementing Security in DevOps Projects

Security in the Pipeline
Azure Security Center

Validating Code Bases for Compliance

Open-Source Software
Managing Security and Compliance Policies
Integrating License and Vulnerability Scans

Assessment Method

Exams require candidates to engage in on-the-job types of problem-solving. Question types includemultiple-choice single answer, multiple-choice multiple answer, drag-and-drop, fill-in-the-blank, simulations, and lab Exercises which is mapping the objectives of the course which will analyses the learners Indented Learning Outcome (ILO)