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Scalable Azure SQL Database Cluster

Why Choose This Project?

In modern applications, database scalability and high availability are crucial to handle increasing data volume and user traffic. Azure SQL Database provides built-in features like elastic pools, geo-replication, and automatic failover that make it easy to deploy scalable and resilient database clusters in the cloud.

This project is perfect for students and professionals interested in cloud-native relational databases, DevOps automation, and enterprise-grade scalability with Microsoft Azure.

Core Features

  • Scalable SQL database cluster with read replicas

  • Elastic pool for resource optimization

  • Geo-redundant backups and failover support

  • Azure Active Directory (AAD) integration for secure access

  • Automated database scaling rules based on usage

  • Central monitoring using Azure Monitor and Log Analytics

Technology Stack

Layer Technology Used
Cloud Platform Microsoft Azure
Database Azure SQL Database, Elastic Pool
Replication Geo-replication, Read-scale-out
Access Control Azure Active Directory, Firewall Rules
Automation Azure CLI, Terraform or ARM templates
Monitoring Azure Monitor, Log Analytics, Alerts
DevOps (Optional) Azure DevOps Pipelines, GitHub Actions
Frontend (optional) .NET Core / Java / Python app with DB connection

Architecture Workflow

  1. Create Azure SQL Logical Server:

    • Host all Azure SQL databases under one server.

    • Set up AAD authentication and firewall rules.

  2. Create Elastic Pool:

    • Add multiple databases to share resources cost-efficiently.

  3. Create Primary & Read-Only Replicas:

    • Enable read-scale-out or geo-replication to create a high-availability cluster.

  4. Configure Automatic Scaling:

    • Use Azure Automation or Azure Monitor autoscale rules to adjust DTUs/vCores based on demand.

  5. Secure Access:

    • Integrate with Azure Active Directory.

    • Use role-based access and SQL authentication.

  6. Monitoring & Alerts:

    • Enable Azure Monitor and Log Analytics to track query performance, deadlocks, CPU/memory usage.

    • Set alerts for performance bottlenecks or outage.

  7. (Optional): Automate provisioning with Terraform, ARM templates, or Azure CLI scripts.

Example Use Cases

  • SaaS Applications with large user bases

  • E-commerce platform with variable traffic

  • Real-time analytics dashboard requiring read replicas

  • Multi-region apps requiring geo-redundant DB clusters

Security Best Practices

  • Enable transparent data encryption (TDE)

  • Configure virtual network service endpoints

  • Enforce TLS connections

  • Use Azure Defender for SQL for advanced threat protection

  • Audit logs with Azure Audit Logs

 

 

This Course Fee:

₹ 2599 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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