We migrate VM-based applications to managed cloud platforms—reducing ops toil, improving reliability, and cutting cost. Typical outcomes include faster releases, built-in resilience, and measurable savings via right-sizing and autoscale.
What we deliver
- Target platform selection: Azure SQL Managed Instance vs Azure SQL Database vs Postgres/MI; read-scale and HA design.
- App tier modernization: Migrate IIS/VM apps to Azure App Service (or Azure Container Apps/AKS where appropriate) using assessment tools and hardening checklists.
- Storage consolidation: Move file/shares to Azure Blob Storage / ADLS Gen2 with lifecycle policies and private endpoints.
- Schedulers & jobs: Convert Windows/SQL Agent jobs to Azure Batch , Azure Functions , or Azure Data Factory —with autoscale policies and runbooks.
- Reporting modernization: Retire SSRS where feasible and implement Power BI Paginated Reports (Fabric/Service) with RLS and deployment pipelines.
- Read/write performance: Use Managed Instance read-scale replicas and pattern-driven read/write segregation (APIs, Functions, microservices).
- Hot-path caching: Accelerate large reads via Azure Cache for Redis with key design and eviction strategy.
- Containers & microservices: Introduce AKS or Azure Container Apps , plus Azure Functions for event-driven workloads; decouple with Service Bus/Event Grid .
- Security by default: Private endpoints, Azure Front Door / Application Gateway (WAF) , DDoS , Defender for Cloud , Key Vault , Azure Policy /Blueprints.
- IaC & DevOps: Terraform (and Bicep where needed), GitHub Actions/Azure DevOps pipelines, environments, approvals, and drift detection.
- Orchestration/automation: Power Automate for governed business workflows and light integrations.
- Independent validation: Optional third-party penetration testing and remediation to validate endpoint hardening.
- FinOps: Cost modeling, Azure Advisor/Cost Management , autoscale scripts, right-sizing, and commitment recommendations.