Online Instructor-Led Certification BootCamp
AZ-400: Microsoft Azure DevOps
This course is designed to learn the various features of Azure DevOps, which enables you to build, test, and deploy any application to any cloud or on-premises.
The course will give you a thorough knowledge about what is DevOps and need of it in today’s software development lifecycle.
You will learn about source control tools, also get familiar with its commands and workflow strategies. You will also get to know how to integrate and set up an end-to-end CI/CD pipeline with Azure Repos, Azure Pipelines, Sonar Qube and Ansible.
You learn to design and implement strategies for application code and infrastructure by automating Continuous Integration, Test and Delivery. You get a working knowledge of tools like:
- Git
- Azure Repos
- Azure Build Pipeline
- Sonar Qube
- Azure Release Pipeline
- Ansible
- Docker
- Azure Kubernetes Service
- Azure Artifacts
- Build and Deployment Strategies
- Cloud Architects
- DevOps Engineer and Architects
- System Admins
- Build and Integration Specialists
Module 1: Planning for DevOps
- Transformation Planning
- Project Selection
- Team Structures
- Migrating to Azure DevOps
Lab: Agile Planning and Portfolio Management with Azure Boards
Module 2: 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
Lab: Version Controlling with Git in Azure Repos
Module 3: Managing Technical Debt
- Identifying Technical Debt
- Knowledge Sharing within Teams
- Modernizing Development Environments with Codespaces
Lab : Sharing Team Knowledge using Azure Project Wikis
Module 4: 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
Lab : Version Controlling with Git in Azure Repos
Module 5: Configuring Azure Pipelines
- The concept of pipelines in DevOps
- Azure Pipelines
- Evaluate use of Hosted vs Private Agents
- Agent Pools
- Pipelines and Concurrency
- Azure DevOps and Open Source Projects (Public Projects)
- Azure Pipelines YAML vs Visual Designer
Lab : Configuring Agent Pools and Understanding Pipeline Styles
Module 6: 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
Lab : Enabling Continuous Integration with Azure Pipelines
Lab : Integrating External Source Control with Azure Pipelines
Module 7: 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
Lab : Integrating Azure Key Vault with Azure DevOps
Module 8: Implementing Continuous Integration with GitHub Actions
- GitHub Actions
- Continuous Integration with GitHub Actions
- Securing Secrets for GitHub Actions
Lab : GitHub Actions Continuous Integration
Module 9: Designing and Implementing a Dependency Management Strategy
- Packaging Dependencies
- Package Management
- Migrating and Consolidating Artifacts
- Package Security
- Implementing a Versioning Strategy
Lab : Package Management with Azure Artifacts
Module 10: Design a Release Strategy
- Introduction to Continuous Delivery
- Release strategy recommendations
- Building a High-Quality Release pipeline
- Choosing the right release management tool
Lab : Controlling Deployments using Release Gates
Lab : Creating a Release Dashboard
Module 11: 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
Lab: Configuring Pipelines as Code with YAML
Lab: Setting up and Running Functional Tests
Module 12: Implementing an Appropriate Deployment Pattern
- Introduction to Deployment Patterns
- Implement Blue Green Deployment
- Feature Toggles
- Canary Releases
- Dark Launching
- AB Testing
- Progressive Exposure Deployment
Lab : Feature Flag Management with LaunchDarkly and Azure DevOps
Module 13: 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
- Desired State Configuration (DSC)
- Azure Automation with DevOps
Lab: Azure Deployments using Resource Manager Templates
Module 14: Third Party Infrastructure as Code Tools Available with Azure
- Chef
- Puppet
- Ansible
- Terraform
Lab : Automating Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines
Lab : Deploying Apps with Chef on Azure
Lab : Deploy App with Puppet on Azure
Lab : Ansible with Azure
Module 15: Managing Containers using Docker
- Implementing a Container Build Strategy
- Implementing Docker Multi-Stage Builds
Lab : Modernizing Existing ASP.NET Apps with Azure
Module 16: Create and Manage Kubernetes Service Infrastructure
- Azure Kubernetes Service
- Kubernetes Tooling
- Integrating AKS with Pipelines
Lab: Deploying a multi-container application to Azure Kubernetes Service
Module 17: 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
Lab : Monitoring Application Performance with Application Insights
Module 18: 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
Lab : Integration between Azure DevOps and Teams
Module 19: Implement Security in DevOps Projects
- Security in the Pipeline
- Azure Security Center
Lab: Implement Security and Compliance in an Azure DevOps Pipeline
Module 20: Validating Code Bases for Compliance
- Open-Source Software
- Managing Security and Compliance Policies
- Integrating License and Vulnerability Scans
Lab : Managing Technical Debt with SonarQube and Azure DevOps
- Cloud Computing fundamentals
- Azure fundamentals
- Operating System – macOS, Windows 7 or above
- Visual Studio 2017 or latest community edition
Mamta Jha – Co-founder, TechScalable
A Cloud Solution Architect with 15+ years of experience in training and consulting experience, has delivered training to corporates like Microsoft, Intuit, RedHat, VMware, HCL, GE, Applied Materials, Dell, Infosys, IBM, Schneider, L&T, TCS, Capgemini, Accenture, Hexaware, PWC, Wipro, Mindtree etc. to name a few. She is certified and delivers trainings in below technologies:
- Azure and Google Cloud
- DevOps: Git, Jenkins, Ansible, Chef, SonarQube, Artifacts, CI/CD pipeline
- Docker and Kubernetes
- RedHat OpenShift
- RedHat OpenStack
- Machine Learning and Artificial Intelligence
Mamta has worked in various production-level projects and has hands-on experience in architecting and implementing solutions.
- Worked on various migration projects, wherein migrated from on-prem to AWS/GCP/Azure
- Setup Containerised environment for high performance and availability on-prem and Cloud using OpenShift/Kubernetes
- Projects implementing CI/CD pipeline for all environments and automating all stages of software development phases using various DevOps tools
- Designed and implemented auto-healed, high available cluster using Azure Kubernetes Service / DigitalOcean Kubernetes Service/ Google Kubernetes Engine
- Hands-on experience in provisioning and maintaining large OpenStack setup for telecom domain
- Designing and implementing predictive analytical methods and/or applications and performing statistical analysis, data mining and retrieval processes on a large amount of data to identify trends, figures and other relevant information
Project will be provided and we will have Q&A after a week of the training
In case the batch is cancelled, the amount would be credited back to the payee’s account in 5 working days.
