English

French

English

French

Appearance

☁️ Azure – Global Integration Platform ​

Azure is the backbone of the enterprise integration architecture. It provides a modular, scalable, and secure environment for orchestrating data flows, automating processes, and exposing APIs.

🔍 Core Services ​

🔁 Azure Logic Apps ​

  • Purpose: Automate workflows and orchestrate integration between systems.
  • Use Cases:
    • Trigger workflows on events (e.g., file drop, HTTP request)
    • Connect SaaS and on-premises systems (e.g., SAP, Salesforce)
    • Implement approval flows and notifications

⚙️ Azure Function Apps ​

  • Purpose: Run serverless code in response to events.
  • Use Cases:
    • Lightweight data transformations
    • Custom API endpoints
    • Event-driven processing (e.g., queue messages, timers)

📬 Azure Service Bus ​

  • Purpose: Enable reliable messaging between decoupled systems.
  • Use Cases:
    • Queue-based communication between microservices
    • Event buffering and retry logic
    • Decoupling producers and consumers

🏗️ Azure Data Factory (ADF) ​

  • Purpose: Orchestrate and automate data movement and transformation.
  • Use Cases:
    • ETL/ELT pipelines across hybrid sources
    • Data ingestion into Data Lake
    • Scheduled or event-based data workflows

🧱 Azure Databricks ​

  • Purpose: Orchestrate and automate continuous data movement and transformation.
  • Use Cases:
    • ETL/ELT pipelines across hybrid sources
    • Data ingestion into Data Lake or External
    • Batched or Micro-batched integration

🗄️ Azure Storage Account ​

  • Purpose: Store structured and unstructured data securely.
  • Use Cases:
    • Staging area for raw and processed data
    • Hosting configuration files and logs
    • Archiving historical datasets

🌐 Azure API Management (APIM) ​

  • Purpose: Expose, secure, and manage APIs.
  • Use Cases:
    • Publish internal and external APIs
    • Apply throttling, caching, and transformation policies
    • Monitor API usage and performance

✅ Best Practices ​

  • Use parameterized pipelines and modular components for reusability
  • Store all secrets and credentials in Azure Key Vault
  • Enable diagnostic logs, metrics, and alerts via Azure Monitor
  • Apply naming conventions and resource tagging for traceability
  • Use Managed Identities for secure service-to-service communication
  • Implement RBAC and least privilege access across all services
  • Automate deployments using CI/CD pipelines (e.g., Azure DevOps)
  • Use private endpoints and network rules to restrict access
  • Document integration flows and data lineage for governance
  • Regularly review costs, performance, and security posture

🔐 Governance & Access ​

  • Access managed via Azure Active Directory (AAD)
  • Role-Based Access Control (RBAC) enforced per resource
  • Audit logs and activity monitoring enabled
  • Use resource locks to prevent accidental deletion
  • Apply naming standards and resource groups by environment

🛣️ Roadmap ​

  • Expand use of Private Link and Managed VNETs
  • Integrate with Microsoft Purview for data lineage and cataloging
  • Migrate legacy SSIS and on-prem ETL to ADF
  • Standardize API exposure through APIM for all integration services
  • Implement centralized monitoring dashboards for all pipelines

🧠 Azure provides a unified, cloud-native foundation for building secure, scalable, and automated integration solutions.