Azure cloud migration services
Solvaria’s Azure cloud migration service provides end-to-end planning, execution, and optimization to minimize risk while modernizing your IT footprint.
Addressing on-premises limitations
On-premises infrastructure can introduce performance bottlenecks, limit scalability, create security gaps, and increase maintenance demands. As systems reach capacity or end of life, they constrain innovation and complicate compliance with modern standards.
Many organizations address these challenges by migrating to Microsoft Azure. However, migrating mission-critical databases introduces complexity. Security, regulatory requirements, and downtime remain key concerns, while limited in-house Azure expertise increases execution risk. Solvaria mitigates these risks.
Cloud transformation is not limited to on-premises migrations. Organizations often pursue cloud-to-cloud migrations to improve performance, control costs, or better align with evolving platform capabilities. Whether moving from AWS or Google Cloud to Microsoft Azure or consolidating environments, these efforts introduce similar complexities around security, compliance, and downtime. Solvaria ensures these transitions are executed seamlessly, minimizing risk and disruption.
Solvaria’s Azure cloud migration services
Solvaria’s Azure cloud migration service covers the full lifecycle, from assessment to cutover. We begin with a detailed evaluation of current environments and workloads to define scope. This includes identifying suitable applications and databases, selecting the right migration approach, and aligning each workload with the appropriate Microsoft Azure services.
Our experts manage all core activities, including solution design, Azure architecture provisioning, data and schema migration, and post-migration validation and tuning. Each phase follows Azure-native tools and best practices to ensure operational consistency and reduce migration risk.
Azure migration capabilities
Environment discovery
Assess databases, applications, and dependencies using Azure Migrate and the Microsoft Assessment and Planning Toolkit, while identifying data gaps impacting AI use cases.
Schema migration
Migrate schemas, procedures, views, and functions with structures optimized for analytics and AI workloads.
Data migration
Move datasets using Azure Data Factory, SSIS, and BCP, ensuring data is standardized, governed, and AI-ready.
Architecture design
Define deployment across Azure SQL Database, Azure SQL Managed Instance, or Azure VMs, aligned to scalable, AI-ready architectures and Azure Machine Learning.
Optimization
Apply indexing, compression, and storage strategies to improve performance, control costs, and support analytics and AI access.
Security and compliance
Configure RBAC, encryption, and auditing to protect data and support responsible AI practices.
Monitoring
Use Azure Monitor for visibility, alerts, and performance insights across data and AI workloads.
Automation
Leverage Azure Automation for maintenance and repeatable data workflows that support AI models.
Cutover and validation
Execute cutover and validate data, performance, and readiness for analytics and AI use cases.
End-to-end Azure migration expertise
As a Microsoft Gold Partner in Data Platform and Data Analytics, we follow Azure best practices and the Cloud Adoption Framework. Our architects define workload-specific migration strategies using tools such as Azure Migrate, Database Migration Service, and Data Migration Assistant. This approach enables efficient schema and data transfer across SQL Server, Oracle, and complex legacy environments.
Our team designs target architectures aligned with Azure best practices and map each workload to the appropriate Platform-as-a-Service or Infrastructure-as-a-Service model. We also provision infrastructure using Infrastructure as Code to ensure consistency and repeatability across deployments. Post-migration, our team implements monitoring through Azure Monitor and Log Analytics, enabling continuous refinement of cost and performance based on observed usage and demand.
Solvaria’s process
Each Azure migration engagement follows a structured, multi-phase process. We begin with assessment and design, inventorying systems, data, and dependencies to establish a clear baseline. This reduces risk and informs the migration plan. We then move to preparation, removing or archiving outdated and duplicate data so only necessary data moves to Microsoft Azure.
Next comes execution. We extract data from legacy systems, transform it for Azure compatibility, and load it in a controlled sequence. We plan and execute cutover with minimal disruption, typically during off-peak windows or in phased stages.
We conclude with validation and optimization. We verify data integrity, application functionality, and performance against defined benchmarks, then resolve any issues before completion. Our team further maintains structured communication throughout, with regular updates and defined points of contact to ensure visibility and alignment.
Related services
AWS cloud migration
Move your databases to Amazon’s cloud with confidence. Solvaria’s senior DBAs, with 15+ years of experience across SQL Server, Oracle, AWS, and more.
Oracle cloud migration
Seamlessly transition your mission-critical databases and applications to Oracle Cloud Infrastructure (OCI).
Oracle to PostgreSQL cloud migration
Reduce licensing costs while preserving performance, security, and operational stability, led end to end by senior DBAs.
Let’s discuss your Azure cloud migration
Speak with one of Solvaria’s Azure-certified specialists, supporting the planning and execution of a controlled migration aligned with your business requirements.