Cheatsheet on Azure cloud Service

Cheatsheet on Azure cloud Service

1. Azure Compute Services

  • Virtual Machines (VMs): Deploy and manage VMs. Great for legacy applications and specific software requirements.
  • Azure Kubernetes Service (AKS): Managed Kubernetes service for running containerized applications. Useful for microservices architectures.
  • Azure Functions: Event-driven serverless compute platform. Ideal for automated tasks, such as file processing or updating databases in response to events.

Business Use Case: A company can use VMs for legacy applications while using AKS to modernize parts of their application stack, reducing operational overhead.

2. Azure Storage Services

  • Blob Storage: Store large amounts of unstructured data, such as images, videos, or logs.
  • File Storage: Managed file shares for cloud or on-premises deployments.
  • Queue Storage: Store and retrieve messages for asynchronous processing.

Business Use Case: A media company could use Blob Storage to store and stream videos efficiently at scale.

3. Azure Networking Services

  • Virtual Network: Provision private networks, optionally connecting to on-premises data centers.
  • Load Balancer: Distribute incoming network traffic across multiple targets to ensure reliability and high availability.
  • Content Delivery Network (CDN): Deliver high-bandwidth content to users globally by caching content in strategic locations.

Business Use Case: E-commerce platforms can use Azure CDN to speed up load times for users around the world, improving customer satisfaction and sales.

4. Azure Database Services

  • Azure SQL Database: Fully managed SQL database service.
  • Cosmos DB: Globally distributed, multi-model database service.
  • Azure Database for MySQL: Managed MySQL database service.

Business Use Case: Financial services firms can use Azure SQL Database to handle high transaction rates while maintaining strong consistency and reliability.

5. Azure AI and Machine Learning Services

  • Azure Machine Learning: Build, train, and deploy machine learning models.
  • Cognitive Services: APIs for AI services like vision, language, speech, and decision-making.
  • Bot Services: Develop intelligent, serverless bot services integrated across platforms.

Business Use Case: Retail companies can leverage Cognitive Services to enhance customer experiences through personalized shopping recommendations and virtual shopping assistants.

6. Azure IoT Services

  • IoT Hub: Centralized hub for managing IoT devices.
  • IoT Central: IoT app platform that provides global device visibility and management.
  • Azure Sphere: Securely manage microcontroller units (MCUs) powered devices.

Business Use Case: Manufacturing firms can use IoT Hub and IoT Central to monitor equipment performance and predict maintenance needs to minimize downtime.


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