Designing and Implementing Microsoft DevOps solutions (AZ-400)

Become The First Generation Leader of The Designing and Implementing Microsoft DevOps solutions Revolution.

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Online-Live

Format

2 Months

Recommended 5-6 Hrs/Week

Oct 31, 2020

Start Date

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Syllabus

Planning for DevOps
Lessons
  • Transformation Planning
  • Project Selection
  • Team Structures
  • Migrating to Azure DevOps
Lab : Agile Planning and Portfolio Management with Azure Boards
After completing this module, students will be able to:
  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and KPIs
  • Create a team and agile organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. VSTS users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
Getting started with Source Control
Lessons
  • 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
  • Authenticating to Git in Azure Repos
Lab : Version Controlling with Git
After completing this module, students will be able to:
  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git
Scaling Git for enterprise DevOps
Lessons
  • How to Structure your Git Repo
  • Git Branching Workflows
  • Collaborating with Pull Requests in Azure Repos
  • Why care about GitHooks
  • Fostering Inner Source
Lab : Code Review with Pull Requests
After completing this module, students will be able to:
  • Explain how to structure Git repos
  • Describe Git branching workflows
  • Leverage pull requests for collaboration and code reviews
  • Leverage Git hooks for automation
  • Use git to foster inner source across the organization
Consolidating Artifacts & Designing a Dependency Management Strategy
Lessons
  • Packaging Dependencies
  • Package Management
  • Migrating and Consolidating Artifacts
Lab : Updating Packages
After completing this module, students will be able to:
  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • Migrate and consolidate artifacts
  • Migrate and integrate source control measures
Implementing Continuous Integration with Azure Pipelines
Lessons
  • 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
  • Continuous Integration Overview
  • Implementing a Build Strategy
  • Integration with Azure Pipelines
  • Integrate External Source Control with Azure Pipelines
  • Set Up Private Agents
  • Analyze and Integrate Docker Multi-Stage Builds
Lab : Enabling Continuous Integration with Azure Pipelines
Lab : Integrating External Source Control with Azure Pipelines
After completing this module, students will be able to:
  • Implement and manage build infrastructure
  • Explain why continuous integration matters
  • Implement continuous integration using Azure DevOps
Managing Application Config and Secrets
Lessons
  • Introduction to Security
  • Implement secure and compliant development process
  • Rethinking application config data
  • Manage secrets, tokens, and certificates
  • Implement tools for managing security and compliance in a pipeline
Lab : Integrating Azure Key Vault with Azure DevOps
After completing this module, students will be able to:
  • Manage application config and secrets
  • Implement tools for managing security and compliance in pipeline
Managing Code Quality and Security Policies
Lessons
  • Managing Code Quality
  • Managing Security Policies
Lab : Managing Technical Debt with Azure DevOps and SonarCloud
After completing this module, students will be able to:
  • Manage code quality including: technical debt SonarCloud, and other tooling solutions
  • Manage security policies with open source and OWASP
Implementing a Container Build Strategy
Lessons
  • Implementing a Container Build Strategy
Lab : Modernizing Existing ASP.NET Apps with Azure
After completing this module, students will be able to:
  • Implement a container strategy including how containers are different from virtual machines and how microservices use containers
  • Implement containers using Docker
Manage Artifact versioning, security & compliance
Lessons
  • Package security
  • Open source software
  • Integrating license and vulnerability scans
  • Implement a versioning strategy
Lab : Manage Open Source Security and License with WhiteSource
After completing this module, students will be able to:
  • Inspect open source software packages for security and license compliance to align with corporate standards
  • Configure build pipeline to access package security and license rating
  • Configure secure access to package feeds
  • Inspect codebase to identify code dependencies that can be converted to packages
  • Identify and recommend standardized package types and versions across the solution
  • Refactor existing build pipelines to implement version strategy that publishes packages
  • Manage security and compliance
Design a Release Strategy
Lessons
  • Introduction to Continuous Delivery
  • Release strategy recommendations
  • Building a High-Quality Release pipeline
  • Choosing a deployment pattern
  • Choosing the right release management tool
After completing this module, students will be able to:
  • Differentiate between a release and a deployment
  • Define the components of a release pipeline
  • Explain things to consider when designing your release strategy
  • Classify a release versus a release process and outline how to control the quality of both
  • Describe the principle of release gates and how to deal with release notes and documentation
  • Explain deployment patterns, both in the traditional sense and in the modern sense
  • Choose a release management tool
Set up a Release Management Workflow
Lessons
  • Create a Release Pipeline
  • Provision and Configure Environments
  • Manage and Modularize Tasks and Templates
  • Integrate Secrets with the release pipeline
  • Configure Automated Integration and Functional Test Automation
  • Automate Inspection of Health
Lab : Configuring Pipelines as Code with YAML
Lab : Setting up secrets in the pipeline with Azure Key vault
Lab : Setting up and Running Functional Tests
Lab : Using Azure Monitor as release gate
Lab : Creating a release Dashboard
After completing this module, students will be able to:
  • Explain the terminology used in Azure DevOps and other Release Management Tooling
  • Describe what a Build and Release task is, what it can do, and some available deployment tasks
  • Classify an Agent, Agent Queue, and Agent Pool
  • Explain why you sometimes need multiple release jobs in one release pipeline
  • Differentiate between multi-agent and multi-configuration release job
  • Use release variables and stage variables in your release pipeline
  • Deploy to an environment securely using a service connection
  • Embed testing in the pipeline
  • List the different ways to inspect the health of your pipeline and release by using alerts, service hooks, and reports
  • Create a release gate
Implement an appropriate deployment pattern
Lessons
  • 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
After completing this module, students will be able to:
  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
Implement process for routing system feedback to development teams
Lessons
  • 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
After completing this module, students will be able to:
  • Configure crash report integration for client applications
  • Develop monitoring and status dashboards
  • Implement routing for client application crash report data
  • Implement tools to track system usage, feature usage, and flow
  • Integrate and configure ticketing systems with development team's work management
Infrastructure and Configuration Azure Tools
Lessons
  • Infrastructure as Code and Configuration Management
  • Create Azure Resources using ARM Templates
  • Create Azure Resources using Azure CLI
  • Create Azure Resources by using Azure PowerShell
  • Desired State Configuration (DSC)
  • Azure Automation with DevOps
  • Additional Automation Tools
Lab : Azure Deployments using Resource Manager Templates
After completing this module, students will be able to:
  • Apply infrastructure and configuration as code principles
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI
Azure Deployment Models and Services
Lessons
  • Deployment Modules and Options
  • Azure Infrastructure-as-a-Service (IaaS) Services
  • Azure Platform-as-a-Service (PaaS) services
  • Serverless and HPC Computer Services
  • Azure Service Fabric
Lab : Deploying a Dockerized Java app to Azure Web App for Containers
After completing this module, students will be able to:
  • Describe deployment models and services that are available with Azure
Create and Manage Kubernetes Service Infrastructure
Lessons
  • Azure Kubernetes Service
Lab : Deploying a multi-container application to Azure Kubernetes Service
After completing this module, students will be able to:
  • Deploy and configure a Managed Kubernetes cluster
Third Party Infrastructure as Code Tools available with Azure
Lessons
  • Chef
  • Puppet
  • Ansible
  • Terraform
Lab : Infrastructure as Code
Lab : Automating Your Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines
After completing this module, students will be able to:
  • Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, and Terraform
Implement Compliance and Security in your Infrastructure
Lessons
  • Security and Compliance Principles with DevOps
  • Azure security Center
Lab : Implement Security and Compliance in an Azure DevOps Pipeline
After completing this module, students will be able to:
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
Recommend and design system feedback mechanisms
Lessons
  • The inner loop
  • Continuous Experimentation mindset
  • Design practices to measure end-user satisfaction
  • Design processes to capture and analyze user feedback
  • Design process to automate application analytics
Lab : Integration between Azure DevOps and Teams
After completing this module, students will be able to:
  • Design practices to measure end-user satisfaction
  • Design processes to capture and analyze user feedback from external sources
  • Design routing for client application crash report data
  • Recommend monitoring tools and technologies
  • Recommend system and feature usage tracking tools
Optimize feedback mechanisms
Lessons
  • Site Reliability Engineering
  • Analyze telemetry to establish a baseline
  • Perform ongoing tuning to reduce meaningless or non-actionable alerts
  • Analyze alerts to establish a baseline
  • Blameless Retrospectives and a Just Culture
After completing this module, students will be able to:
  • Analyze alerts to establish a baseline
  • Analyze telemetry to establish a baseline
  • Perform live site reviews and capture feedback for system outages
  • Perform ongoing tuning to reduce meaningless or non-actionable alerts

Certification

Executive Program in Microsoft Azure DevOps Engineer Certified by Microsoft.

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143000

Happy Clients Our Success is Measured by Results.

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Projects - Our focus in on Delivery a Better Content.

12

Years of Experience In Imparting Quality Training Across Verticals.

38000

Students Placed in Top MNC's

Platforms Covered

VPNGateway

VM

A virtual machine is a computer file, typically called an image, which behaves like an actual computer. In other words, creating a computer within a computer. It runs in a window, much like any other programme, giving the end user the same experience on a virtual machine as they would have on the host operating system itself.

Azure-Load

Load Balancer

In computing, load balancing refers to the process of distributing a set of tasks over a set of resources (computing units), with the aim of making their overall processing more efficient.

VPNGateway

VPN Gateway

A VPN gateway can be a router, server, firewall or similar device with internetworking and data transmission capabilities. However, in most cases, a VPN gateway is a physical router device. The VPN gateway is generally installed on the core VPN site or infrastructure.

AzureStorage

Azure Storage

Azure Storage is a Microsoft-managed cloud storage service, that provides highly available, durable, scalable and redundant storage, at a fraction of the cost, if you were to manage it manually.

AzureVirtualNetworking

Azure Virtual Networking

Azure Virtual Network (VNet) is the fundamental building block for your private network in Azure.

Azure-DNS

Azure DNS

Azure DNS alias records are qualifications on a DNS record set. They can reference other Azure resources from within your DNS zone.

Testimonials

Instructors and Experts

Learn from India's Best leading faculty and industry leaders

Sanjeev

Sanjeev Singh

EXP 18+
team-3

Sameer

EXP 15+
Satwik

Satwik Muthappa

EXP 15+
Mujaheed

Mujaheed

EXP 12+

Program Fee

AWS Advanced

INR. 2000*

Inclusive of all Taxes

  • 4 Session/ classes
  • Online - live Classes

AWS Advanced

INR. 17,394*

Inclusive of all Taxes

  • Training
  • Single Certification
  • Online - live Classes
  • No Cost EMI Available

AWS Advanced

INR. 28,990*

* Inclusive of all Taxes

  • Training
  • Dual Certification
  • Online - live Classes
  • No Cost EMI Available

Frequently Asked Questions

what is Azure Used for?

Microsoft Azure is used for building, testing and deploying and managing applications and services. This includes creating virtual machines, creating and hosting websites and web applications and building mobile applications.

What are the career benfits of Microsoft Azure ?

Microsoft Azure is one the most trusted cloud computing services and is widely used by many Fortune 500 companies to bolster business activities. Microsoft Azure certification increases your chances of getting hired for cloud computing by an enormous extent. This is due to the high reputation of Microsoft certifications in the IT world. Popular multinational companies like Adobe, HP, Johnson Controls and IHG are using this cloud service and are benefitting greatly. It is also being considered as the technology of the future as it is easy to adopt and learn and serves as a highly efficient tool. Hence, a certification in Microsoft Azure provides lucrative career options with organisations providing an average salary of $118,781 per year for a Cloud Engineer and $123,684 per year for a Software Architect.

What is Mmicrosoft Azure certification

Microsoft Azure certifications lets you understand the concepts of Microsoft Azure to perform daily tasks effectively and efficiently. It includes topics such as Azure Cloud Platform, Azure architecture, infrastructure and cloud computing.

Why do we need Microsoft Azure

Azure is a flexible solution that provides a number of new services with increased data storage. Azure is much cheaper and offers a number of applications at the same time. It’s high speed and decentralised infrastructure provides unlimited options for disaster recovery plans too. All these advantages have made Azure the choice of almost two-thirds of the world’s Fortune 500 companies.

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