Azure DevOps Training AZ-400 Designing Implementing Microsoft DevOps Solutions

To enroll in our Azure DevOps Training AZ-400: Designing Implementing Microsoft DevOps Solutions (Course 40000):

You may enroll for Azure DevOps Training using the following link to check out the actual course page and enrollment page: -> Course 40000: AZ-400 Designing and Implementing Microsoft DevOps Solutions

Course Overview

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will 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.

Audience profile

Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.

Skills gained

  • Plan for the transformation with shared goals and timelines
  • Select a project and identify project metrics and KPIs
  • Create a team and agile organization structure
  • Describe the benefits of using Source Control
  • Migrate from TFVC to Git
  • Scale Git for Enterprise DevOps
  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • Migrate and consolidate artifacts
  • Migrate and integrate source control measures
  • Manage application config and secrets
  • Develop a project quality strategy
  • Plan for secure development practices and compliance rules
  • Implement and manage build infrastructure
  • Explain why continuous integration matters
  • Implement continuous integration using Azure DevOps
  • Manage code quality including: technical debt, SonarCloud, and other tooling solutions
  • Manage security policies with open source, OWASP, and WhiteSource Bolt
  • Implement a container strategy including how containers are different from virtual machines and how microservices use containers
  • Implement containers using Docker
  • 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
  • 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
  • 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
  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
  • 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
  • Implement a mobile DevOps strategy
  • Apply infrastructure and configuration as code principles.
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI
  • Describe deployment models and services that are available with Azure
  • Deploy and configure a Managed Kubernetes cluster
  • Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, SaltStack, and Terraform
  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • 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
  • 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

Prerequisites

Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.

Course outline

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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

Module 7: 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

Module 8: 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

Module 9: 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

Module 10: 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

Module 11: 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

Module 12: 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

Module 13: 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

Module 14: 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

Module 15: 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

Module 16: 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

Module 17: 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

Module 18: 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

Module 19: 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

Module 20: 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

Azure DevOps Training Course 40501 Microsoft Cloud Workshop: Container and DevOps

Course 40501 – Azure DevOps Training – Microsoft Cloud Workshop: Azure Container and Azure DevOps Training

You may enroll for Course 40501 – Microsoft Cloud Workshop: Container and DevOps – Microsoft Azure Administrator Training -> Course 40501 Microsoft Cloud Workshop: Container and DevOps <<- using this link

Course Overview

In this workshop, you will build a proof of concept (POC) that will transform an existing PaaS application to a container-based application. This POC will deliver a multi-tenant web app hosting solution leveraging Azure Kubernetes Service (AKS), Docker containers on Linux nodes, and a migration from MongoDB to CosmosDB.

Audience profile

This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the “summary and “Skills gained” areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.

Skills gained

  • At the end of this workshop, you will be better able to improve the reliability of and increase the release cadence of your container-based applications through time-tested DevOps practices.

Prerequisites

Workshop content presumes 300-level of architectural expertise of infrastructure and solutions design. We suggest students take this prerequisite prior to attending this workshop.

Course outline

Module 1: Whiteboard Design Session – Cloud-native applications

Lessons

  • Review the customer case study
  • Call to action: Design a proof of concept solution
  • Call to action: Present the solution

Module 2: Hands-on Lab – Cloud-native applications

Lessons

  • Create and run a Docker application
  • Deploy the solution to Azure Kubernetes Service
  • Scale the application and test HA
  • Setup load balancing and service discovery (Infrastructure Edition)
  • Working with services and routing application traffic (Developer Edition)

BRK2246 How Microsoft is modernizing its internal engineering processes

BRK2246 How Microsoft is modernizing its internal engineering processes – in this Azure DevOps Training session, you can learn how Microsoft Core Services Engineering and Operations (CSEO) — consisting of the IT pros and developers who build, deploy, and operate the systems that run Microsoft — are on a modern journey to accelerate the IT engineering capabilities which are supporting Microsoft’s own internal digital transformation today. What is the result of all this? Well, CSEO is transforming IT at Microsoft. Join us and gain insight into how we’re doing this by modernizing our IT engineering practices and improving engineer productivity using Microsoft engineering and service management tools including Azure DevOps.

Microsoft Azure DevOps Training Courses

Dynamics Edge is offering Microsoft Azure DevOps Training Classes and Azure DevOps REST API Training that is specifically designed for your Development Operations Automation needs in mind.

Custom Microsoft Azure DevOps Training Courses for Software Engineers Azure DevOps Engineer Training Dynamics Edge
Call or Contact us right now, and ask about Custom Microsoft Azure DevOps Engineer Training Courses just for you!

Custom Microsoft Azure DevOps Engineer Certification Training Courses by Dynamics Edge empower you to understand how Microsoft rebranded Visual Studio Team Service (VSTS) to fit under the Azure DevOps banner. As you may know, VSTS, which is an extension of Visual Studio is the primary integrated development environment (IDE) from Microsoft. This IDE empowers developers, testers and architects to develop, test and design software together in a collaborative way!

Our Microsoft Azure DevOps Engineer Training helps you know that when we teach you Azure DevOps, we’re doing much more than saying that Azure DevOps is a simple re-branding of our previous Microsoft Visual Studio Team Service (VSTS) Training. VSTS is a product that as of 2018 is over 10 years old. VSTS was primarily made to initially attract enterprise development teams who were constructing Windows applications that were complicated. Microsoft VSTS had all the initial components from automated testing to source code control, all of this was designed to deliver an integrated and unified experience of application lifecycle management (ALM) with Microsoft technologies. Our new, custom Azure DevOps Training covers much more than or VSTS Training did.

With Microsoft Azure DevOps API Training, Microsoft integrates Azure with Github. Do you remember Team Foundation Services, which was the original SCM (Source Control Management tool) available in VSTS? Github is slowly replacing Team Foundation Services. Microsoft is doing everything to ensure that developers, operators and testers get the best possible experience in taking the source code of Github repositories all the way to the end goal deployment target, which are the Microsoft Azure Compute services delivered through virtual machines, containers, containerized apps through tools like Docker as well as much more!

We also offer Xamarin, Github, VS Code training and more, to help you understand that Microsoft has some of the best toolchains out there for the development and deployment of both open source projects and private projects or code repositories.

Microsoft has four different compute services – platform as a service (PaaS), virtual machines or infrastructure as a service (IaaS), functions or functions as a service (FaaS) and containers or containers as a service (CaaS). Azure DevOps is related to application deployment as one of these compute services. Operators as well as developers that are utilizing Microsoft Azure DevOps also are making use of the Azure Storage and Compute services, in a way. Microsoft Azure DevOps Services such as Azure App Service, Azure VMs, Azure Kubernetes Service, Azure Container Registry, Azure Service Fabric and more, are using these products in a unified way.

Microsoft released Azure DevOps to deliver the best Continuous Integration, Continuous Deployment and Continuous Development experiences for Github projects. Azure is making Visual Studio much more open source through Azure DevOps, and Dynamics Edge’s custom Azure Training can help you understand how to make the most of it.

AZ-201T01 Training Develop Azure Cloud Model Exam AZ-201 Training Course

Dynamics Edge’s Azure AZ-201T01 Training Course: Develop for an Azure Cloud Model Exam AZ-201 Class is our Microsoft Azure Certification Exam AZ-201 Training Course AZ-201T01. This course is part of a series of courses to help you prepare for Microsoft’s Azure Developer certification Exam AZ-201: Develop Advanced Microsoft Azure Cloud Solutions. These courses are designed for developers who already know how to code in at least one of the Azure-supported languages.

Dynamics Edge Course 20101 – Azure AZ-201T01 Training Course for DevOps Engineers Certification Exam AZ-201

The coursework covers how to ensure you solution meets performance expectations in Azure. It covers asynchronous processing, autoscaling, long-running tasks, and distributed transactions. Additionally, you’ll learn how to leverage Azure Search for textual content, and how to implement instrumentation and logging in your development solution.

Audience profile

These courses are for experienced programmers who want to develop and host solutions in Azure. Learners should have some experience with Azure and must be able to program in at least one Azure-supported language. These course focus on C#, Node.js, Azure CLI, Azure PowerShell, and JavaScript.

At course completion

After completing this course, students will be able to:

Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.
Implement autoscaling in your solution and implement code that addresses transient state.
Discover how to implement large-scale, parallel and high-performance apps by using batches.
Learn to implement, and manage, distributed transactions.
Configure instrumentation in an app or service by using Application Insights and other tools.
Course Outline

Module 1: Develop for asynchronous processing

Lessons

Implement parallelism multithreading and processing
Implement Azure Functions and Azure Logic Apps
Implement interfaces for storage or data access
Implement appropriate asynchronous computing models
After completing this module, students will be able to:

Learn to develop for asynchronous processing and how to implement the appropriate asynchronous compute model.
Module 2: Develop for autoscaling

Lessons

Implement autoscaling rules and patterns
Implement code that addresses singleton application instances
Implement code that addresses a transient state
After completing this module, students will be able to:

Implement autoscaling in your solution and implement code that addresses transient state.
Module 3: Develop long-running tasks

Lessons

Implement large scale parallel and high-performance apps by using batches
Implement resilient apps by using queues
Implement code to address aplication events by using webhooks
Address continuous processing tasks by using Azure WebJobs
After completing this module, students will be able to:

Discover how to implement large-scale, parallel and high-performance apps by using batches.
Module 4: Implement distributed transactions

Lessons

Identify tools to implement distributed transactions
Manage the transaction scope
Manage transactions across multiple databases and servers
After completing this module, students will be able to:

Learn to implement, and manage, distributed transactions.
Module 5: Enable the search of textual content

Lessons

Create an Azure Search index
Import searchable data
Query the Azure Search index by using code
Module 6: Instrument an app or service and implement logging

Lessons

Configure instrumentation in an app or service
Configure the logging service