Cloudalytix | Microsoft Solutions

We help you modernize your data estate and operationalize AI on the Microsoft stack—end to end. From strategy and architecture to build and run, we unify data on Azure & Microsoft Fabric, govern it with Microsoft Purview, deliver analytics with Power BI, and productionize models with Azure AI Studio & Azure ML. The result: trusted data, faster insight, and AI you can scale securely and cost-effectively.

We design, build, and run secure, cost-efficient Azure foundations - cloud or hybrid. Starting with a Well-Architected landing zone, we set up identity (Entra ID), networking (VNet/Private Link/Firewall), compute (VMs/AKS), storage/backup, and hybrid with Azure Arc. We automate with Terraform/Bicep, migrate with Azure Migrate, and harden with Defender for Cloud & Policy. Operations cover resilience (Zones/ASR/Backup), observability (Monitor/Log Analytics), and FinOps (Cost Management) - so your platforms stay reliable, compliant, and ready to scale. 

We modernize and build cloud-native apps on Azure - fast and secure. Using App Service, AKS, Functions, Static Web Apps, and API Management, we design modular, event-driven architectures (Event Grid/Service Bus) with the right data stores (Cosmos DB, Azure SQL, Redis). Delivery is automated with GitHub/Azure DevOps (CI/CD, IaC), with built-in DevSecOps, Managed Identity/Entra security, and full observability via App Insights/Monitor. Result: resilient apps, quicker releases, lower run costs, and a platform ready to scale.

We digitize processes and build secure, low-code solutions on Dynamics 365 and the Power Platform. Using Power Apps, Power Automate (incl. RPA), Power Pages, Power BI, Dataverse and Copilot Studio, we unify data, automate workflows, and add AI to everyday work. We integrate with line-of-business systems via Azure Integration Services/API Management, enforce guardrails with ALM, DLP, Entra, and run a scalable Center of Excellence. Result: faster operations, unified data, and apps delivered at high velocity—without sacrificing governance.

We enable secure, AI-powered collaboration with Microsoft 365 and Teams. We ready and roll out Copilot for M365, modernize productivity with SharePoint/OneDrive/ Exchange, and unify meetings, chat, and calling with Teams. Identity and devices are hardened with Entra ID and Intune, data stays protected via Purview (DLP, labeling) and Defender for Office 365. We drive adoption and governance with analytics and change management. Result: simpler work, stronger security, and measurable productivity gains.

We implement Zero Trust with Microsoft Security - identity-first controls via Entra ID (MFA, Conditional Access, PIM), cloud posture & workload protection with Defender for Cloud, and XDR across email/endpoints/identities/apps with Microsoft Defender. We centralize detection and response in Microsoft Sentinel (SIEM/SOAR) with automated playbooks, and protect data using Purview (DLP, labeling) plus Key Vault. Result: lower breach risk, faster response, and continuous compliance across cloud and hybrid.

Decide what to build, why it matters, and how it pays back.

• Strategy, assessments, and business case (TCO/FinOps)
• Cloud/Data/AI target architecture & roadmap
• Governance & Responsible AI, operating model
• Adoption & change management

Move the right workloads, in the right order - without surprises.

• Cloud strategy and landing patterns tailored to your estate
• Portfolio discovery, wave planning, and risk triage
• Migration factory setup (repeatable playbooks, QA gates)
• Cost control (FinOps), reliability and compliance guardrails

Products & customer/employee experiences (what you build).

• Product vision, backlog shaping, and service design
• Reference architectures and non-functional requirements (SLOs)
• API, eventing, and integration strategy
• Release governance, quality engineering, and readiness

Turn data into trusted insight and responsible AI outcomes.

• Data strategy, Data Management governance model, and trust-by-design
• Analytics operating model (self-service with guardrails)
• AI use-case discovery, prioritization, and risk assessment
• MLOps/DataOps/AIOps- lifecycle, monitoring, and value realization

Standardize delivery. Ship safely at scale.

• CI/CD standards, trunk-based flow, and environment strategy
• IaC patterns, golden paths, and developer self-service
• Observability metrics (SLI/SLO/Error Budget) and ops runbooks
• Cost/perf optimization and continuous improvement cadences

Lower breach risk and satisfy auditors—without slowing delivery.

• Zero-Trust blueprint and access governance
• Threat modeling, posture management, and control mapping
• SOC design (detect/respond), automation runbooks
• Regulation alignment and continuous compliance reporting