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.

Help your developers build AI software faster and more securely.

Help Your Developers Build AI Software Faster and More Securely

Development teams building AI software face two challenges simultaneously: accelerating delivery while maintaining security. The ALIANDO AI Builder Launch is a Microsoft co-delivery engagement that helps engineering teams establish a governed and reusable AI development framework. By combining GitHub Copilot for everyday development, GitHub workflows for controlled releases, and Microsoft Foundry or Fabric for AI agents and trusted data grounding, organizations can successfully deliver measurable application or agent workloads while maintaining security and governance.

Why developer AI adoption stalls

Many development teams want AI-assisted engineering but lack an adoption baseline, a secure delivery workflow, and a practical path from experimentation to production. Without a defined repository structure, branching model, pull-request governance, and deployment workflow, GitHub Copilot adoption stays shallow — individual developers experiment, but the organisation does not benefit.

No adoption baseline

GitHub Copilot is enabled but teams lack the workflow, governance, and measurement framework to demonstrate value.

Security gaps in AI development

AI-generated code requires advanced security review, secret scanning, and dependency management that basic repository setups do not address.

No connection to Azure AI

Development teams building applications and agents need integration points to Foundry and Fabric that informal adoption does not provide.

Phase 1 — Assess

Evaluate the current developer platform, existing tooling, application or agent backlog, and security posture. Identify one workload where development velocity, quality, or security can be measured within the engagement.

Phase 2 — Configure

Establish the GitHub repository structure, branching strategy, pull-request workflow, and deployment pipeline for the selected workload. Enable GitHub Copilot for the participating team and define the adoption baseline.

Phase 3 — Connect

Integrate the development workflow with Microsoft Foundry or Fabric where the use case requires agent capability or trusted data grounding. Review GitHub Enterprise and GitHub Advanced Security opportunities with the customer and Microsoft specialist.

Phase 4 — Measure and scale

Confirm adoption, release velocity, quality, and security outcomes against the baseline established at the start of the engagement. Produce a scale roadmap covering additional teams, GitHub Enterprise, Advanced Security, and Azure consumption.

GitHub Copilot

GitHub Enterprise

GitHub Actions

GitHub Advanced Security

Azure AI Foundry

Microsoft Fabric

Azure

Business Outcomes
Microsoft funding and specialist support
Why ALIANDO

A reusable AI development workflow that can be applied across future application and agent workloads
Improved developer adoption of GitHub Copilot with a documented baseline and measurement model
Integration between development workflows and Azure AI that supports agent and data grounding use cases
A governed path from development experimentation to production deployment
Clear roadmap to GitHub Enterprise, GitHub Advanced Security, and broader Azure consumption

ALIANDO delivers the AI Builder Launch as a joint motion with Microsoft. A GitHub specialist is included on qualifying initial pursuits. ALIANDO will assess eligibility for Agentic DevOps with Microsoft Azure and GitHub Specialization incentives, AI Apps & Agents nominations, and applicable co-investment at the scoping stage. Funding is subject to Microsoft eligibility, customer criteria, nomination, and proof-of-execution requirements.

GitHub is an active part of ALIANDO's Foundry and agent delivery model — our engineering teams use it daily
Delivered as a joint motion with Microsoft to ensure access to the right GitHub specialist resources
Transparent capability positioning — ALIANDO scales this offer with Microsoft and qualified partner support
Direct integration pathway to ALIANDO's AI Agent Launch, AI-Ready Data, and Azure AI Foundry capabilities
Microsoft Azure Expert MSP with Solutions Partner designations across Digital & App Innovation and Data & AI

Help your developers build AI software faster and more securely.

Help Your Developers Build AI Software Faster and More Securely

Start the conversation.

Why developer AI adoption stalls

No adoption baseline

Security gaps in AI development

No connection to Azure AI

What you receive

Developer platform and AI delivery assessment

One priority AI application or agent use case selection

GitHub repository, branching, and pull-request workflow setup

GitHub Copilot enablement for the participating engineering team

GitHub Actions deployment workflow configuration

Microsoft Foundry or Fabric integration where the use case requires agents or data grounding

Adoption, quality, security, and developer experience measurement baseline

Scale roadmap for GitHub Enterprise and GitHub Advanced Security