Landing zones & networks
Clean account structure, VPC/VNet design, private subnets, peering, NAT, VPN, DNS, and ingress routing across providers.
- Hub-spoke topology
- Private workloads
- DNS and routing
I design, migrate, and operate production environments across Azure, Google Cloud, Oracle Cloud, IBM Cloud, and AWS with Terraform, hardened security, monitoring, and cost controls from day one.
Provider choice should not create chaos. The build standardizes networking, identity, security, delivery, and observability across your stack.
Clean account structure, VPC/VNet design, private subnets, peering, NAT, VPN, DNS, and ingress routing across providers.
Least privilege IAM, RBAC, KMS, security groups, WAF policies, audit logs, secret storage, and baseline compliance controls.
Autoscaling VMs, managed Kubernetes, serverless jobs, object storage, and managed databases selected for workload fit.
Metrics, logs, tracing, uptime checks, SLO dashboards, and actionable alerts wired to the channels your team uses.
Budgets, tags, rightsizing, reserved capacity, lifecycle policies, and noisy-resource cleanup for predictable monthly spend.
Reusable Terraform modules, environment promotion, remote state, reviewable pull requests, and drift detection.
Each phase creates a testable checkpoint before production traffic moves.
Inventory workloads, traffic, data stores, dependencies, and cloud bill waste.
Pick provider services, network boundaries, IAM model, backup posture, and rollout order.
Ship Terraform, pipelines, observability, hardened defaults, and environment parity.
Move traffic in controlled waves with rollback paths and post-cutover validation.
You get documented architecture, reproducible infrastructure, deployment paths, backups, monitoring, cost alerts, and access boundaries that do not depend on memory or manual clicks.
Azure, GCP, Oracle, IBM, and AWS patterns aligned under one delivery model.
IAM, network isolation, encryption, WAF, secrets, and audit trails are part of the baseline.
Dashboards, alerts, runbooks, and cost controls are delivered with the infrastructure.
Multi-cloud infrastructure is the practice of using cloud services from multiple cloud providers (like AWS, Azure, and GCP) within a single heterogeneous architecture. This reduces vendor lock-in, improves disaster recovery capabilities, and lets teams run workloads on the most cost-effective platform.
I plan migrations in stages using blue-green deployment strategies, DNS weight shifts, and database replication. We set up the target environment first, verify it with integration tests, sync data in real time, and switch traffic gradually to ensure a safe rollback path is always open.
Yes, I use Terraform as the primary Infrastructure as Code (IaC) tool for all cloud providers including AWS, Azure, Google Cloud, and Oracle. This ensures that your entire multi-cloud setup is documented, version-controlled, and reproducible.
Related Services
Deploy your multi-cloud applications automatically with GitHub Actions or GitLab CI/CD pipelines, complete with automatic rollbacks.
Kubernetes Setup & ManagementRun scalable containerized applications on AWS EKS, Google GKE, or Azure AKS with high availability and autoscaling.
Terraform Infrastructure as CodeProvision and manage all your multi-cloud servers, databases, and networks via modular and version-controlled IaC templates.
Cloud Cost OptimisationAudit and optimize your multi-cloud infrastructure to eliminate waste, resize resources, and lower your bill by 30% to 60%.
Linux Server ManagementHarden, configure, and maintain Linux servers with proper access controls, firewall rules, and automated patching.