CloudQ helps organisations architect, automate, and intelligently operate cloud infrastructure across AWS and Azure — blending rigorous DevOps practices, SDLC-aligned delivery, and intelligent operations.
AI-driven anomaly detection, predictive alerting, and intelligent incident correlation across your entire AWS and Azure estate.
Secure, SDLC-aligned deployment of ML models via SageMaker endpoints and Azure AI Gateway, including MCP server integration and governed API exposure.
CI/CD pipelines, GitOps, and SDLC-governed delivery — repeatable, auditable, and secure across AWS and Azure environments.
Zero-downtime migrations to AWS or Azure with structured runbooks, dependency mapping, and staged cutover.
Production-grade container platforms on EKS or AKS with full GitOps delivery, service mesh, and autoscaling.
Security embedded at every SDLC stage — IAM, network, SIEM, compliance — plus cost optimisation across both cloud platforms.
A boutique multi-cloud consultancy. Senior engineers only — shipping working infrastructure with security and repeatability baked in at every stage.
AWS & Azure. Genuinely multi-cloud — we recommend the right platform for your workload, not our preference.
AI/ML expertise. SageMaker endpoint management, Azure AI Gateway design, and MCP server deployment with proper governance.
SDLC-first delivery. Every deployment is secure, repeatable, and traceable — from code review through production cutover.
No lock-in. Everything documented, owned by you, designed to outlast the engagement.
Whether you're on AWS, Azure, or navigating both — we're ready to talk.