Architecture library

All patterns

Real-world Azure architecture patterns covering Cloud, AI, Security, DevSecOps and Enterprise Architecture.

  • Designing an Automated Retirement Strategy for Azure Advisor Findings

    Turning Cloud Recommendations into Action Cloud cost and hygiene reviews are often reactive. Teams receive Azure Advisor alerts about underutilized or idle resources but take little action. Why? Because the recommendations are detached from ownership. What if we could change that? What if every resource carried a clear accountability tag, like resourceManagerEmail, making it possible to…

  • IoT Architecture: LoRa & Modbus with Bidirectional MQTT and Web Control Portal

    The industrial world is rapidly evolving. Legacy devices speaking Modbus, low-power sensors communicating via LoRa, and modern cloud-native applications now need to coexist within a single, coherent platform. The challenge is no longer just collecting telemetry, it’s about acting on it, controlling devices remotely, and turning raw signals into operational intelligence. This architecture presents a modern IoT reference platform built around…

  • AI-Powered Knowledge Discovery Platform on Azure with RAG Chat Experience

    Enterprises accumulate vast amounts of unstructured content—policy manuals, contract documents, training videos, operational procedures, scanned files, and meeting transcripts—most of which remain dormant, disconnected from business decision-making. Finding precise information across this content landscape is tedious, slow, and often ineffective. This architecture introduces a modern solution: an AI-powered knowledge platform on Azure, designed to transform unstructured…

  • Data Integration & Ingestion Pattern : SharePoint → Azure Data Lake via Databricks

    In many enterprise environments, critical business data is often stored in SharePoint Online, whether in document libraries, structured lists, or exported Excel files. To enable analytics, reporting, or AI use cases, this data must be reliably ingested into a centralized Azure Data Platform. This pattern demonstrates how to securely integrate and ingest data from SharePoint into Azure Data…

  • Secure DevOps deployement with self-hosted Agent and Azure Key Vault

    Introduction In modern cloud environments, securing the DevOps pipeline is crucial to protect sensitive data and ensure the integrity of deployments. Utilizing a self-hosted agent with Azure Key Vault provides an effective way to enhance the security of your DevOps processes. This architecture pattern integrates secure storage of secrets and credentials with robust deployment automation,…

  • Azure API Management – Multi-Region Deployment with Azure Front Door & Application Gateway

    In large-scale cloud architectures, where APIs serve both internal consumers and external partners across multiple regions, a single-region API Management instance can quickly become a bottleneck. To ensure high availability, low latency, geo-resilience, and security, this pattern showcases how to deploy Azure API Management (APIM) in a multi-region active/active setup, fronted by Azure Front Door for global distribution and Application Gateway with WAF for regional protection. This design…

  • Batch processing System – Event Hub & Databricks

    Batch Processing System Architecture Using Azure Event Hub, Capture, and Databricks This architecture pattern is designed for a batch processing system utilizing Azure Event Hub, Capture, and Databricks. In this pattern, Azure Event Hub functions as the « event ingestor » for a drag-and-drop event service. It collaborates with Azure API Management (APIM) to orchestrate the publication…

Quote of the week

« Good architecture allows changes; bad architecture prevents it. »

~ Robert C. Martin