Primary focus
Large enterprise cloud deeply integrated with Microsoft 365, Entra ID, Windows Server, SQL Server, and enterprise tooling. In 2026, major push into agentic AI via Copilot and Azure AI Foundry.
Startup-focused cloud infrastructure: instances, private networks, volumes, backups, load balancers, autoscaling clusters, managed databases, Redis, snapshots, plus a native MCP server for AI agent control.
AI agent / MCP (2026)
Azure ships an official MCP server (github.com/microsoft/mcp), available as a one-click .mcpb bundle for Claude Desktop with tools across 40+ Azure service areas. Your agent can generate Azure CLI and Bicep or Terraform, run diagnostics, and manage Azure resources in natural language. It manages Azure's own platform; it does not deploy your repo to a real VM your agent then SSHes into to fix.
Native MCP server your agent uses end to end: it provisions a real VM and a managed database, deploys your app to a live URL, and can SSH into the running machine to operate and fix it. One integrated flow on a full cloud hosted in the EU, no Azure subscription or GitHub Copilot seat required.
Pricing structure
Azure Linux VMs run roughly $7.59/month (B1s) to $70/month (D2s v3) on pay-as-you-go, before storage, egress, and support plans. Reserved Instances cut the rate but need a 1 to 3 year commitment. Azure's own MCP server is free, but the Copilot agent tooling many teams pair it with adds per-seat cost.
Transparent per-resource pricing with an online calculator. Servers run £8.50 to £70/month (£20 to £35 typical), storage is £0.07/GB, all billed hourly. No per-user licensing, no reservation commitment, no ecosystem dependency. £200 credits for all new accounts.
Microsoft ecosystem dependency
Azure is strongest for organisations already using Entra ID, Active Directory, Microsoft 365, or Windows licensing. Standalone use is possible but the platform is optimised for Microsoft-centric stacks.
No Microsoft dependency. Works with any language, any OS, any toolchain. Your agent connects via the standard MCP protocol, no Azure SDK required.
Getting started
Requires understanding Azure accounts, subscriptions, resource groups, Entra ID tenants, networking, and RBAC permissions. The MCP tools reflect your subscription roles, and many teams pair the server with GitHub Copilot tooling that carries its own per-seat cost.
Create an account, connect your agent via MCP, and it provisions infrastructure and deploys your app. No prerequisite subscriptions or ecosystem tenants to set up first.
Autoscaling and clusters
Azure Virtual Machine Scale Sets and AKS provide enterprise-grade autoscaling. Powerful but requires understanding node pools, cluster add-ons, and Azure-specific networking.
Autoscaling clusters built into the platform. Deployable from the console or by your agent through the MCP server. Managed PostgreSQL and Redis also available.
Vendor lock-in
Significant lock-in risk for companies that adopt Azure AD, Entra ID, M365, and Azure-native services deeply. Moving identity and data later is a major project.
Built on standard infrastructure primitives. No ecosystem lock-in. Use redu.cloud for compute and infrastructure while keeping any other tools you already use.
Startup fit
Azure can work for startups, particularly those targeting enterprise customers who require Microsoft-adjacent tooling. Azure for Startups offers credits but platform complexity remains.
Built for small teams that need infrastructure running quickly. £200 credits available to all new accounts with no application process or investor requirement.
Proof, not claims: watch an AI agent deploy real infrastructure on redu, then SSH in and fix a live deploy, at redu.cloud/deploys.