Cloud Solutions.

AWS for breadth of services and African region availability via Cape Town (af-south-1) and the upcoming Lagos local zone. Azure when the client estate is Microsoft-heavy (M365, Active Directory, Dynamics) or when government contracts require it. GCP for data-heavy workloads using BigQuery and for Kubernetes-native teams. We weigh latency to your users, data residency rules, existing skills and commercial discounts before recommending - hyperscaler is not a religious choice.

We instrument FinOps from day one: tagged resources, per-team showback dashboards in CloudHealth or native cost explorers, budget alerts at 50/75/90 percent, savings plans and reserved instances for steady-state workloads, and autoscaling for spiky ones. Most clients see 25 to 40 percent reduction in the first 90 days from rightsizing, idle resource cleanup and storage-tier optimization alone, without architectural rewrites.

AWS Cape Town (af-south-1), Azure South Africa North (Johannesburg) and GCP Johannesburg cover most South African and East African latency needs. For West Africa, we typically pair eu-west-1 (Ireland) or eu-west-3 (Paris) with Cloudflare edge in Accra, Lagos and Nairobi. We help map workloads to regions based on data-residency law (NDPC in Ghana, NDPA in Nigeria, POPIA in South Africa) and user latency budgets.

Single cloud almost always wins on operational simplicity, hiring and discounts. Multi-cloud is worth the complexity when regulators mandate it (some central banks), when you have a credible exit strategy from a hyperscaler, or when one provider uniquely owns a capability (BigQuery, AWS SageMaker, Azure OpenAI). We resist multi-cloud cargo-culting - duplicating IAM, networking and observability across two clouds is expensive and rarely justified.

Terraform for cross-cloud and platform-level infra, complemented by CDK or Pulumi when teams prefer typed languages, and Helm for Kubernetes workloads. We enforce module reuse, policy as code via OPA or Sentinel, and drift detection in CI. ClickOps in production environments is blocked at the IAM level - if it isn't in Git, it doesn't exist.

We start with the actual RTO/RPO the business needs - most workloads tolerate minutes of downtime and don't justify active-active. For tier-zero systems (payment switches, core banking) we design active-active with database replication via Aurora Global, Spanner or read replicas plus carefully tested failover playbooks. We run quarterly game days because untested DR is theater, not resilience.

If you have predictable, steady workloads with no scaling needs and a fully depreciated on-prem estate, lift-and-shift will increase costs. Highly regulated workloads where data residency rules are unclear may need on-prem or sovereign-cloud first. We have advised clients to stay on-prem or use colocation when the migration business case didn't hold up - we'd rather lose a project than sell you a cloud bill you regret.