What does Aliando include in an Azure migration project?

Aliando delivers end to end migration support including discovery and dependency mapping, migration planning, remediation assistance, workload moves, and post migration tuning. We also provide documentation and knowledge transfer, with an option to transition into ongoing monitoring and administration.

Can Aliando migrate VMware/Hyper-V or AWS workloads to Azure?

Yes. Aliando migrates workloads from on premise environments such as VMware and Hyper V, colocation providers, and other cloud platforms including AWS into Microsoft Azure datacenters or Azure Stack infrastructures.

How do Azure optimization engagements reduce cost and improve performance?

Aliando reviews your existing Azure environment and provides clear, actionable recommendations aligned with Microsoft best practices. This typically includes cost optimization, performance tuning, security improvements, and assessments for storage and high availability.

Can Aliando help modernize from Azure IaaS to Azure PaaS (ex: Azure SQL, Data Factory, Power BI)?

Yes. Aliando supports modernization paths such as SQL Server to Azure SQL Database, SSIS to Data Factory, SSRS or Tableau reporting to Power BI, and data platform moves to services such as Data Lake and Cosmos DB.

What Azure DevOps services does Aliando provide for enterprise teams?

Aliando helps establish, improve, or operate DevOps capabilities including CI/CD pipelines, cloud tooling, microservices enablement with Docker and Kubernetes, configuration and cluster management, and ongoing process improvement, mentoring, and operational best practices.

How does Aliando support Azure Data and AI initiatives from pilot to production?

Aliando helps enterprises validate use cases through rapid pilots, enable data science and engineering teams with technical frameworks and productivity tooling, and provide advisory support to align data, business context, and outcomes for production grade Azure machine learning delivery.

Modernise the databases AI depends on.

Help Your Developers Build AI Software Faster and More Securely

Every AI programme runs on data. But most data runs on databases that were not designed for AI: legacy SQL estates with end-of-support exposure, hybrid environments with unclear dependencies, and platforms that cannot connect cleanly to Microsoft Fabric, Azure AI Foundry, or agentic AI workloads. ALIANDO AI-Ready Databases is a fixed-scope assessment that maps your database estate, assigns a target platform for each workload, and produces a sequenced migration plan before you commit to a transformation programme.

Why database modernisation is the hidden AI blocker

AI adoption in most organisations is blocked not by the AI platform but by the data infrastructure below it. Legacy databases on end-of-support versions carry unbudgeted licensing and security risk. Hybrid estates with undocumented dependencies create uncertainty before any migration conversation can begin. And databases that are not connected to OneLake, Fabric, or Foundry cannot feed the AI workloads the business is trying to build.

Without a clear database estate inventory, target platform map, and sequenced migration plan, AI programmes are delayed at the foundation — and Azure run rates remain unpredictable.

End-of-support exposure

Legacy SQL Server versions, on-premises PostgreSQL, and MySQL workloads past support dates carry security, compliance, and audit risk that accelerates as AI programmes draw attention to the data estate.

Undocumented hybrid dependencies

Database dependencies on applications, integrations, and other services are rarely fully mapped, making migration planning unreliable without a structured inventory.

Fabric and Foundry connectivity gaps

Databases that cannot connect cleanly to OneLake, Fabric pipelines, or Azure AI Foundry block data grounding for AI agents and block the analytics modernisation programme that feeds them.

Phase 1 — Inventory

Discover and document the full database estate: versions, hosting models, support status, licensing exposure, application dependencies, and data flow connections. Identify which workloads feed Fabric, Foundry, and AI workloads.

Phase 2 — Assess

Evaluate each workload against business risk, AI value, technical complexity, and cost. Score the AI readiness of each database and identify the dependencies blocking Fabric and agentic AI scenarios.

Phase 3 — Recommend

Assign a target platform disposition to each workload. Design the migration wave plan prioritised by business risk and AI value. Model the expected Azure run rate and incorporate FinOps guardrails.

Phase 4 — Plan

Produce the Arc plan for retained hybrid workloads. Confirm the migration, optimisation, and managed services roadmap. Define the path from assessment to ALIANDO AI-Ready Data and managed cloud operations.

Azure SQL Database

Azure SQL Managed Instance

Azure Database for PostgreSQL

Azure Database for MySQL

Azure Cosmos DB

SQL Server on Azure VM

Azure Arc

Azure Migrate

Business Outcomes
Microsoft funding may apply
Why ALIANDO

Complete visibility of the database estate, including support exposure and dependency map
A target platform recommendation for every workload — reducing ambiguity before migration begins
A sequenced migration wave plan prioritised by business risk and AI value
Modelled Azure run rate and FinOps guardrails that make cloud cost predictable
A clear dependency map between existing databases and Fabric, Foundry, and AI workloads
A governed approach to hybrid workloads via Azure Arc
A direct path from assessment to migration, optimisation, and ALIANDO managed services

ALIANDO will assess eligibility for Database Pre-Sales funding, Infrastructure and Database Migration to Microsoft Azure Specialization incentives, and applicable ECIF at the scoping stage. Funding is subject to Microsoft eligibility, customer criteria, nomination, and proof-of-execution requirements.

Infrastructure and Database Migration to Microsoft Azure Specialization
Analytics on Microsoft Azure Specialization
AI Platform on Microsoft Azure Specialization
Delivered Azure migration, SQL modernisation, and managed cloud operations across commercial and enterprise customers
FinOps modelling integrated into assessment output — cost is confirmed before migration commitment
Direct integration pathway to ALIANDO AI-Ready Data, AI Agent Launch, and Azure managed services
Microsoft Azure Expert MSP with Solutions Partner designations across Infrastructure and Data & AI

Modernise the databases AI depends on.

Help Your Developers Build AI Software Faster and More Securely

Start the conversation.

Why database modernisation is the hidden AI blocker

End-of-support exposure

Undocumented hybrid dependencies

Fabric and Foundry connectivity gaps

What you receive

Database inventory & dependency analysis

Support, licensing & continuity assessment

Azure platform recommendations

AI readiness & data flow assessment

Prioritized migration roadmap

Azure cost modeling & FinOps planning

Azure Arc hybrid strategy

Migration & managed services roadmap