CloudTech designs, deploys, and manages cloud infrastructure on AWS, Azure, and Google Cloud — with Infrastructure as Code, container orchestration, automated CI/CD, and full observability. We make your infrastructure as reliable as your product.
Most businesses in Pakistan end up with cloud infrastructure that was clicked together in the AWS console — no versioning, no automation, no documentation. When something breaks at 2am, nobody knows why or how to fix it. CloudTech builds cloud infrastructure the right way: everything defined in code (Terraform or AWS CDK), everything automated through CI/CD pipelines, and everything observable through structured logging and distributed tracing.
We work across AWS, Azure, and Google Cloud — and we're genuinely cloud-agnostic. We'll recommend the platform that best fits your team's skills, your compliance requirements, and your cost profile, not the one we're most familiar with. Whether you're migrating an existing application to the cloud, scaling an already-deployed system, or building cloud-native from day one, we bring the same engineering discipline to the infrastructure as we do to the application code.
Terraform and CDK — every resource version-controlled and reproducible.
GitHub Actions pipelines — test, build, and deploy on every merge.
OpenTelemetry, CloudWatch, Datadog — you always know what's happening.
Right-sized resources, reserved instances, and spot strategies from day one.
Deep expertise across all three major cloud platforms — with the same IaC-first, automation-first approach on each.
The most mature cloud ecosystem with the widest service catalogue. Our preferred platform for most greenfield applications and teams without a prior cloud commitment.
The natural choice for enterprises standardised on Microsoft tooling, .NET applications, and organisations with Active Directory and Microsoft 365 dependencies.
Best-in-class for data engineering, machine learning workloads, and teams that want the simplicity of serverless containers with Cloud Run.
End-to-end cloud services — from initial migration to ongoing optimisation and management.
Design of cloud architectures from scratch — VPC and network topology, compute layer selection (containers vs serverless vs VMs), database architecture, storage strategy, and multi-region high availability design.
Complete infrastructure defined and managed in Terraform, AWS CDK, or Azure Bicep. Version-controlled, peer-reviewed, and reproducible across development, staging, and production environments. No manual console drift.
Docker containerisation of applications, Kubernetes cluster setup and management (EKS, AKS, GKE), Helm chart development, autoscaling configuration, and GitOps deployment workflows with ArgoCD or FluxCD.
End-to-end deployment pipelines using GitHub Actions, Azure DevOps, or Cloud Build — automated testing, Docker image builds, security scanning, and zero-downtime production deployments with rollback capabilities.
Full observability stack: structured logging with centralised aggregation, distributed tracing with OpenTelemetry, custom metrics dashboards, uptime monitoring, and alerting that pages the right person for the right incident.
Migration of on-premise and legacy applications to the cloud — lift-and-shift for speed, or re-architect for cloud-native benefits. Database migration, DNS cutover, zero-downtime strategies, and post-migration optimisation.
In 2026, the gap between teams using AI-native development workflows and those not is not incremental — it's generational. CloudTech has fully integrated AI coding tools into every stage of the development lifecycle. This means faster delivery, lower cost, more modern architecture, and higher quality output — all at the same time. We don't use AI to replace engineering discipline; we use it to amplify it. Architecture, security, and performance remain the highest priorities — AI tools help us execute at a speed that was previously impossible.
Anthropic's Claude Code agent works directly in the terminal — reading, writing, and reasoning about entire codebases. We use it for architecture-level refactors, test generation, and complex feature implementation that would take days manually.
Cursor brings AI to the editor level — instant inline code generation, multi-file edits, and codebase-aware completions. Tasks that used to take hours of boilerplate writing now take minutes with precise, context-aware suggestions.
GitHub Copilot accelerates routine implementation — form handlers, API client code, test cases, database queries — freeing our engineers to focus on the decisions that require genuine expertise: architecture, security design, and performance.
We use Claude's agentic capabilities for complex multi-step development tasks — generating comprehensive test suites, writing full documentation from code, reviewing PRs against security checklists, and scaffolding production-ready module structures.
Features that used to take weeks are delivered in days. Codebases that took months to scaffold are generated and reviewed in hours. Timeline and cost benefits pass directly to clients.
AI handles the repetitive — we focus on what matters. Security reviews, performance optimisation, and architectural decisions are done by experienced engineers, augmented by AI, not replaced by it.
AI tools make it cost-effective to write things the right way from the start. No shortcuts justified by time pressure. Clean code, proper tests, and complete documentation on every delivery.
From cloud assessment to production handover — a structured process with full documentation and knowledge transfer.
Review current infrastructure, application architecture, costs, and security posture.
Architecture diagrams, IaC module design, security model, and cost projection.
Infrastructure provisioned in code, CI/CD pipelines built, and environments stood up.
Logging, tracing, dashboards, and alerting configured before go-live.
Full runbooks, architecture docs, and team knowledge transfer session.
Whether you're starting from scratch or migrating an existing system, we'll assess your situation and recommend a practical, cost-effective cloud strategy.
Every tool chosen for production capability and long-term maintainability.