Azure:

Azure is a comprehensive cloud computing platform developed by Microsoft, designed to provide a wide array of services for computing, storage, networking, and analytics.

It enables organizations to build, deploy, and manage applications and services through a global network of data centers. With offerings ranging from virtual machines and managed databases to advanced AI and machine learning tools, Azure supports diverse business needs and technical requirements.

Its scalability, flexibility, and robust security features, coupled with integration capabilities with both Microsoft and third-party products, make it a versatile solution for companies looking to leverage cloud technology for growth, efficiency, and innovation

Why to use Azure?

1. Comprehensive Service Portfolio

• Broad Range of Services: Azure provides a wide variety of services, from virtual machines and databases to advanced AI and machine learning tools.
• Integration: It integrates well with Microsoft products (like Windows Server, SQL Server, and Active Directory) as well as with third-party tools and services.

2. Scalability and Flexibility

• On-Demand Resources: You can scale resources up or down based on demand, allowing for cost-effective management of resources.
• Global Reach: Azure has a vast global network of data centers, enabling low-latency access and high availability.

3. Security and Compliance

• Robust Security: Azure offers a range of security features such as Azure Security Center, encryption, and threat detection.
• Compliance Certifications: It adheres to various compliance standards and certifications, making it suitable for industries with strict regulatory requirements.

4. Cost Management

• Pay-as-You-Go Pricing: You pay only for what you use, which can reduce upfront costs and financial risk.
• Cost Management Tools: Azure provides tools for monitoring and managing cloud expenditure.

5. Hybrid Capabilities

• Azure Arc: Extends Azure services and management to on-premises, multi-cloud, and edge environments.
• Integration with On-Premises Systems: Azure supports hybrid cloud scenarios, allowing integration with existing on-premises infrastructure.

6. Developer and DevOps Support

• Development Tools: Azure supports a wide range of programming languages and development environments.
• DevOps Integration: Tools like Azure DevOps and GitHub Actions facilitate continuous integration and continuous deployment (CI/CD) practices.

7. AI and Machine Learning

• Advanced Analytics: Azure offers services like Azure Machine Learning and Cognitive Services to build, train, and deploy AI models.

8. Disaster Recovery and Backup

• Business Continuity: Azure provides solutions for backup and disaster recovery, helping ensure that your data and applications remain available even in the event of a failure.

9. Ease of Use and Management

• User-Friendly Interface: Azure’s management portal is designed to be intuitive and user-friendly.
• Automation: Azure offers automation tools like Azure Resource Manager and Azure Automation to simplify management tasks.

10. Innovation and Updates

• Continuous Improvement: Microsoft frequently updates Azure with new features and services, helping you stay on the cutting edge of technology.

Where to use Azure?

Azure can be utilized in various scenarios and industries to address a wide range of needs and objectives. Here are some common use cases and areas where Azure is particularly beneficial:

1. Application Development and Hosting

• Web Applications: Build and host web apps with services like Azure App Service, which supports various programming languages and frameworks.
• Mobile Applications: Use Azure Mobile Apps to develop and manage mobile backends and synchronize data across devices.

2. Data Storage and Management

• Databases: Utilize Azure SQL Database, Cosmos DB, or Azure Database for MySQL/PostgreSQL for scalable and managed database solutions.
• File Storage: Store and manage large volumes of unstructured data with Azure Blob Storage.

3. Analytics and Business Intelligence

• Data Warehousing: Leverage Azure Synapse Analytics for integrating, analyzing, and visualizing data from various sources.
• Real-Time Analytics: Use Azure Stream Analytics to process and analyze real-time data streams.

4. Artificial Intelligence and Machine Learning

• AI Services: Integrate pre-built AI models into applications with Azure Cognitive Services, including vision, speech, and language processing capabilities.
• Machine Learning: Build, train, and deploy machine learning models using Azure Machine Learning.

5. Hybrid and Multi-Cloud Solutions

• On-Premises Integration: Use Azure Arc and Azure Stack to integrate and manage on-premises resources alongside cloud services.
• Multi-Cloud Management: Manage and orchestrate services across multiple cloud providers.

6. DevOps and Continuous Integration/Continuous Deployment (CI/CD)

• DevOps Tools: Utilize Azure DevOps or GitHub Actions for CI/CD pipelines to streamline development and deployment processes.
• Infrastructure as Code: Automate infrastructure management with Azure Resource Manager (ARM) templates or Terraform.

7. Networking and Connectivity

• Virtual Networks: Create isolated networks in the cloud with Azure Virtual Network for secure and efficient connectivity.
• Load Balancing: Use Azure Load Balancer or Azure Application Gateway to distribute incoming traffic and improve application availability.

8. Disaster Recovery and Backup

• Backup Solutions: Protect data with Azure Backup and ensure business continuity with Azure Site Recovery for disaster recovery.

9. Internet of Things (IoT)

• IoT Solutions: Build and manage IoT applications using Azure IoT Hub and Azure IoT Central for connecting and analyzing IoT devices.

10. Security and Compliance

• Security Management: Implement comprehensive security solutions with Azure Security Center and Azure Sentinel for threat detection and response.
• Compliance: Ensure regulatory compliance with Azure’s wide range of certifications and compliance offerings.

11. Migration and Modernization

• Application Modernization: Modernize legacy applications using Azure’s serverless computing, microservices, and container services.
• Cloud Migration: Move existing applications and workloads to the cloud with Azure Migrate and various tools designed to facilitate the migration process.

Module 1: Cloud

• Why Cloud and what is Cloud Computing?
• Identify the features and benefits of cloud computing
• Different types of Cloud Computing deployment model
• Public Cloud , Private Cloud , Hybrid Cloud
• Virtualization – An essential in cloud
• Virtualization in Cloud model
• Different types of virtualization
• Hypervisor – Benefits
• Different types of services and their difference in cloud Computing
• IaaS, PaaS, SaaS
• Importance of Scaling in Cloud Computing
• Different types of Scaling and its applications
• Issues we overcome using cloud and applications
• Cost model that we use in cloud computing

Module 2: A Kick start on the Microsoft Azure platform

• Microsoft Azure – An High-level overview
• Creation of Azure account
• Overview of the services provided in Azure
• Learn support center help and other controls

Module 3: Managing Microsoft Azure Subscription

• Creating subscription for the account
• Cost center and tagging
• Azure policies

Module 4: Azure Resource Management

• Managing and analyzing Azure Resource
• Diagnostics and baseline environment
• Creating alerts and metrics
• Managing costs
• Log analysis

Module 5: Azure Virtual Machines

• Introduction to Virtual Machine Architecture
• Azure Virtual machine – an overview
• Understanding different families of virtual machines
• Understanding the plans and costs of virtual machines
• Creating a virtual machine
• Connecting the virtual machine remotely
• Understanding VM Availability
• Understanding and setting virtual machine monitoring
• Virtual Machine scale sets (VMSS)
• Creating windows and Linux virtual machines

Module 6: Managing Azure Virtual Machines

• Adding additional data disks to Virtual machine
• Adding network interface cards to virtual machines
• Changing different VM size
• Redeploying virtual machines

Module 7: Azure Virtual machine backups

• Understanding virtual machine backups
• Virtual machine backup jobs and restores
• Hands-on on virtual machine concepts

Module 8: Azure Virtual Networks

• Understanding Basic networking
• Understanding CIDR
• Creation of virtual networks
• Public IP addressing concepts
• Learning network routing on azure
• Setup virtual networks peering between different virtual networks
• Vent to vent connection

Module 9: Introduction to Load Balancing

• Setup Load Balancer
• Front End IP Configuration

Module 10: Azure network security groups

• An intro to Network security groups
• Implementing Network security group rules

Module 11: Azure DNS Services

• Azure DNS services introduction
• Assigning custom domains

Module 12: Azure AD – Basic vs. Premium

• Introduction and Creating Azure AD
• Adding our Custom Domains
• Learn about AD Identity Protection
• How to implement Self Service Password Reset
• Conditional Access and Access Reviews

Module 13: Implementing MFA

• Azure AD MFA- An introduction
• Azure AD Conditional Access
• Configuring Fraud Alerts
• MFA One Time Bypass

Module 14: Azure RBAC

• Understanding Azure Role-based access control (RBAC)
• Creating custom RBAC

Module 15: Creating and configuring storage accounts

• Create Storage Account
• Virtual Networks and Firewalls
• Access Keys and SAS
• Storage Explorer
• Log Analytics
• Redundant Storage