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Corso Designing and Implementing DevOps solutions AZ-400

25/04/2022 by

Vega Training Microsoft Learning Partner

Corso Designing and Implementing DevOps solutions AZ-400

Panoramica | Obiettivi | Contenuti  |  Tipologia  |  Prerequisiti
Durata e Frequenza  |  Docenti  |  Modalità di Iscrizione  |  Calendario

Panoramica   Obiettivi   Contenuti
Tipologia    Prerequisiti   Durata e Frequenza
Docenti    Modalità di Iscrizione    Calendario

PANORAMICA

Microsoft Certified DevOps Engineer Expert

Corso di preparazione al conseguimento della
Certificazione Microsoft DevOps Engineer Expert
Esame AZ-400

Agevolazioni per Disoccupati Inoccupati e lavoratori a Termine

Contattaci ora per ricevere tutti i dettagli e per richiedere, senza alcun impegno, di parlare direttamente con uno dei nostri Docenti CLICCA QUI.
Oppure chiamaci subito al nostro numero verde  800-177596.

OBIETTIVI DEL CORSO

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

CONTENUTI DEL CORSO

AZ-400 Designing and Implementing DevOps solutions

Module 1: Get started on a DevOps transformation journey

  • Introduction to DevOps
  • Choose the right project
  • Describe team structures
  • Migrate to DevOps
  • Introduction to source control
  • Describe types of source control systems
  • Work with Azure Repos and GitHub

Lab: Agile planning and portfolio management with Azure Boards
Lab: Version controlling with Git in Azure Repos

  • Understand what DevOps is and the steps to accomplish it
  • Identify teams to implement the process
  • Plan for the transformation with shared goals and timelines
  • Plan and define timelines for goals
  • Understand different projects and systems to guide the journey
  • Select a project to start the DevOps transformation
  • Identify groups to minimize initial resistance
  • Identify project metrics and Key Performance Indicators (KPI’s)
  • Understand agile practices and principles of agile development
  • Create a team and agile organizational structure

Module 2: Work with Git for enterprise DevOps

  • Structure your Git Repo
  • Manage Git branches and workflows
  • Collaborate with pull requests in Azure Repos
  • Identify technical debt
  • Explore Git hooks
  • Plan foster inner source
  • Manage Git repositories

Lab: Version controlling with Git in Azure Repos

  • Understand Git repositories
  • Implement mono repo or multiple repos
  • Explain how to structure Git Repos
  • Implement a change log
  • Describe Git branching workflows
  • Implement feature branches
  • Implement GitFlow
  • Fork a repo
  • Leverage pull requests for collaboration and code reviews
  • Give feedback using pull requests

Module 3: Implement CI with Azure Pipelines and GitHub Actions

  • Explore Azure Pipelines
  • Manage Azure Pipeline agents and pools
  • Describe pipelines and concurrency
  • Explore Continuous integration
  • Implement a pipeline strategy
  • Integrate with Azure Pipelines
  • Introduction to GitHub Actions
  • Learn continuous integration with GitHub Actions

Lab: Configuring agent pools and understanding pipeline styles

  • Describe Azure Pipelines
  • Explain the role of Azure Pipelines and its components
  • Decide Pipeline automation responsibility
  • Understand Azure Pipeline key terms
  • Choose between Microsoft-hosted and self-hosted agents
  • Install and configure Azure pipelines Agents
  • Configure agent pools
  • Make the agents and pools secure
  • Use and estimate parallel jobs

Module 4: Design and implement a release strategy

  • Introduction to continuous delivery
  • Explore release strategy recommendations
  • Build a high-quality release pipeline
  • Introduction to deployment patterns
  • Implement blue-green deployment and feature toggles
  • Implement canary releases and dark launching
  • Implement A-B testing and progressive exposure deployment

Lab: Controlling deployments using Release Gates
Lab: Creating a release dashboardLab: Feature flag management with LaunchDarkly and Azure DevOps

  • Explain continuous delivery (CD)
  • Implement continuous delivery in your development cycle
  • Understand releases and deployment
  • Identify project opportunities to apply CD
  • Explain things to consider when designing your release strategy
  • Define the components of a release pipeline and use artifact sources
  • Create a release approval plan
  • Implement release gates
  • Differentiate between a release and a deployment

Module 5: Implement a secure continuous deployment using Azure Pipelines

  • Create a release pipeline
  • Configure and provision environments
  • Manage and modularize tasks and templates
  • Automate inspection of health
  • Manage application configuration data
  • Integrate with identity management systems
  • Implement application configuration

Lab: Configuring pipelines as code with YAML
Lab: Setting up and running functional testsLab: Integrating Azure Key Vault with Azure DevOps

  • 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
  • Implement release jobs
  • Differentiate between multi-agent and multi-configuration release job
  • Provision and configure target environment
  • Deploy to an environment securely using a service connection
  • Configure functional test automation and run availability tests
  • Setup test infrastructure
  • Use and manage task and variable groups

Module 6: Manage infrastructure as code using Azure, DSC, and third-party tools

  • Explore infrastructure as code and configuration management
  • Create Azure resources using Azure Resource Manager templates
  • Create Azure resources by using Azure CLI
  • Explore Azure Automation with DevOps
  • Implement Desired State Configuration (DSC)
  • Introduction to Chef and Puppet
  • Implement Ansible
  • Implement Terraform

Lab: Deployments using Azure Resource Manager templates
Lab: Ansible with AzureLab: Automating infrastructure deployments in the cloud with Terraform and Azure Pipelines

  • Understand how to deploy your environment
  • Plan your environment configuration
  • Choose between imperative versus declarative configuration
  • Explain idempotent configuration
  • Create Azure resources using ARM templates
  • Understand ARM templates and template components
  • Manage dependencies and secrets in templates
  • Organize and modularize templates
  • Create Azure resources using Azure CLI

Module 7: Implement security and validate code bases for compliance

  • Introduction to Secure DevOps
  • Implement open-source software
  • Software Composition Analysis
  • Static analyzers
  • OWASP and Dynamic Analyzers
  • Security Monitoring and Governance

Lab: Implement security and compliance in Azure DevOps Pipelines
Lab: Managing technical debt with SonarQube and Azure DevOps

  • Identify SQL injection attack
  • Understand DevSecOps
  • Implement pipeline security
  • Understand threat modeling
  • Implement open-source software
  • Explain corporate concerns for open-source components
  • Describe open-source licenses
  • Understand the license implications and ratings
  • Work with Static and Dynamic Analyzers
  • Configure Microsoft Defender for Cloud

Module 8: Design and implement a dependency management strategy

  • Explore package dependencies
  • Understand package management
  • Migrate, consolidating and secure artifacts
  • Implement a versioning strategy

Lab: Package management with Azure Artifacts

  • Define dependency management strategy
  • Identify dependencies
  • Describe elements and componentization of a dependency management
  • Scan your codebase for dependencies
  • Implement package management
  • Manage package feed
  • Consume and create packages
  • Publish packages
  • Identify artifact repositories
  • Migrate and integrate artifact repositories

Module 9: Create and manage containers using Docker and Kubernetes

  • Design a container build strategy
  • Implement Docker multi-stage builds
  • Implement Azure Kubernetes Service (AKS)
  • Explore Kubernetes tooling
  • Integrate AKS with Pipelines

Lab: Deploying Docker Containers to Azure App Service web apps
Lab: Deploying a multi-container application to Azure Kubernetes Services

  • Design a container strategy
  • Work with Docker Containers
  • Create an Azure Container Registry
  • Explain Docker microservices and containers
  • Implement multi-stage builds with Docker
  • Understand build patterns
  • Manage multiple projects and solutions
  • Add Docker support to an existing application
  • Implement Azure Kubernetes Service (AKS)
  • Deploy and connect to an AKS cluster

Module 10: Implement continuous feedback

  • Implement tools to track usage and flow
  • Implement route for mobile application crash report data
  • Develop monitor and status dashboards
  • Share knowledge within teams
  • Explore SRE and design practices to measure end-user satisfaction
  • Design processes to capture and analyze user feedback
  • Design processes to automate application analytics
  • Manage alerts, Blameless retrospectives and a just culture

Lab: Monitoring application performance with Application Insights
Lab: Integration between Azure DevOps and Microsoft Teams

  • Implement tools to track feedback
  • Plan for continuous monitoring
  • Implement Application Insights
  • Use Kusto Query Language (KQL)
  • Implement routing for mobile applications
  • Configure App Center Diagnostics
  • Configure alerts
  • Create a bug tracker
  • Configure Azure Dashboards
  • Work with View Designer in Azure Monitor

TIPOLOGIA DEL CORSO

Corso di Formazione con Docente;

INFRASTRUTTURA LABORATORIALE

Per tutte le tipologie di erogazione, il Corsista può accedere alle attrezzature e ai sistemi presenti nei Nostri laboratori o direttamente presso i data center Microsoft o dei suoi provider autorizzati in modalità remota h24. Ogni partecipante dispone di un accesso per implementare le varie configurazioni avendo così un riscontro pratico e immediato della teoria affrontata. Ecco di seguito alcuni scenari tratti dalle attività laboratoriali:

Corso Microsoft DevOps

PREREQUISITI

Si consiglia la partecipazione al Corso Azure Administrator oppure il Corso Azure Developer.

DURATA E FREQUENZA

Durata 5gg;
Varie tipologie di Frequenza Estensiva ed Intensiva.

DOCENTI

I docenti sono Istruttori Certificati Microsoft e in altre tecnologie IT, con anni di esperienza pratica nel settore e nella Formazione.

MODALITÀ DI ISCRIZIONE

Le iscrizioni sono a numero chiuso per garantire ai tutti i partecipanti un servizio eccellente.
L’iscrizione avviene richiedendo di essere contattati dal seguente Link, o contattando la sede al numero verde 800-177596 o inviando una richiesta all’email [email protected].

CALENDARIO

  • Corso Designing and Implementing DevOps solutions (Formula Intensiva 5gg) – 23/01/2023 – 9:00 – 17:00
  • Corso Designing and Implementing DevOps solutions (Formula Intensiva 5gg) – 25/04/2023 – 9:00 – 17:00
  • Corso Designing and Implementing DevOps solutions (Formula Intensiva 5gg) – 17/07/2023 – 9:00 – 17:00

LINK UTILI MICROSOFT

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Corsi Microsoft Altri Corsi Microsoft

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