Pisteyo’s on-premises SQL Server environment created several barriers to growth.
Scalability Constraints
The legacy environment struggled to handle increasing data volumes and concurrent users. Performance slowed during peak demand. Scaling required hardware upgrades and long procurement cycles.
Operational Overhead
Internal teams managed patching, backups, maintenance, and capacity planning. This diverted resources from application development and innovation.
Performance and Reliability Risks
As demand grew, query performance degraded. High availability required complex configuration and added cost. Built-in failover capabilities were limited.
Limited Modernization Path
A lift-and-shift to SQL Server on Azure Virtual Machines would not address database design or performance constraints. Pisteyo needed true modernization. The goal was to move from infrastructure-managed SQL Server to a fully managed Platform-as-a-Service (PaaS) solution without disrupting application functionality.
Pisteyo partnered with Lunavi to migrate from on-premises Microsoft SQL Server to Azure SQL Database, a fully managed PaaS database engine.
Azure SQL Database provides built-in intelligence, high availability, and elastic scalability without infrastructure management.
This approach delivered:
Lunavi followed Microsoft Cloud Adoption Framework and Well-Architected Framework principles to guide the engagement.
Assessment and Migration Planning
Lunavi used Azure Data Studio to assess the existing SQL Server environment. The team evaluated schema compatibility and identified required refactoring. This created a clear migration roadmap.
Database Migration Execution
Lunavi used Azure Database Migration Service (DMS) to orchestrate the migration with minimal downtime. Continuous synchronization allowed validation before final cutover.
SQL Refactoring
Schemas, stored procedures, and queries were optimized for Azure SQL Database. This enabled intelligent query processing, automatic tuning, and elastic scaling. Performance improved without requiring a full application rewrite.
Application Integration and DevOps Enablement
Azure SQL Database was integrated with Azure App Service and Azure DevOps. This streamlined deployments and improved operational consistency across the application stack.
Validation and Optimization
Lunavi conducted end-to-end testing across performance, reliability, and functionality. Copper continued to operate seamlessly in the new environment.
Azure Solutions Implemented
By moving to Azure SQL Database, Pisteyo improved performance, resilience, and operational efficiency.
Eliminated Infrastructure Management
Azure SQL Database removed the need for operating system patching, hardware maintenance, and manual backups.
Built-In High Availability
Automatic replication and failover are included with a 99.99 percent SLA. These capabilities no longer require custom configuration.
Elastic Scalability
Resources scale to meet demand. Peak usage no longer creates bottlenecks.
Intelligent Performance Optimization
Automatic tuning and intelligent query processing continuously optimize performance.
Enhanced Security and Compliance
Transparent Data Encryption, Advanced Threat Protection, and Microsoft Defender for Cloud provide integrated security controls.
Reduced Total Cost of Ownership
Pisteyo eliminated hardware costs and reduced operational overhead.
Future-Ready Foundation
The new PaaS architecture positions Pisteyo to adopt additional Azure capabilities, including serverless compute and advanced analytics. Download the case study right here.
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