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 — and a native MCP server for AI agent control.
AI agent / MCP (2026)
Microsoft Build 2026 unveiled the Windows Agent Runtime and Copilot Platform with agentic automation across M365. Custom agents via Copilot Studio cost $30/user/month, plus Azure consumption. GA slated for November 2026.
Native MCP server with 20 tools across instances, storage, networking, and infrastructure — included in the platform today. AI coding agents can create VMs, volumes, clusters, and managed databases directly.
Pricing structure
Azure VMs range from $7.59/month (B1s) to $70.08/month (D2s v3) on pay-as-you-go. Enterprise Copilot bundles run $42.50–$52/user/month. Global pricing update takes effect July 1, 2026. Reserved Instances for many VM series expire July 2026, reverting to pay-as-you-go.
Transparent per-resource pricing with an online calculator. No per-user licensing fees, no RI commitment, no M365 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. AI agents connect via standard MCP protocol — no Azure SDK required.
Getting started
Requires understanding Azure accounts, subscriptions, resource groups, Entra ID tenants, networking, and permissions. Enterprise Copilot capabilities require Microsoft 365 licensing as a prerequisite.
Create an account, spin up infrastructure, and let AI agents handle the rest via MCP. No prerequisite subscriptions or ecosystem dependencies.
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 with Heat-backed orchestration. Deployable from the console or via AI agent through the MCP server. Managed PostgreSQL and Redis clusters 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.