In many organizations across Kampala, there is a small room at the back of the office that everyone hopes will never cause trouble. Inside it sits a server, a stack of network equipment, a UPS that beeps during power cuts and an air conditioner that has seen better days. That room holds the accounting system, the customer database and years of business records.
Then one day the power goes out for longer than the UPS can last, or the hard drive fails, or someone discovers the last full backup was taken three months ago. Suddenly, a business that looked perfectly healthy cannot invoice customers, process payments or serve its clients.
Moving to the cloud is about more than escaping that server room. Done well, it gives organizations reliable infrastructure, the ability to scale on demand, stronger security and the foundations for modern capabilities such as data analytics and AI. Done poorly, it can bring unexpected bills, outages and compliance headaches.
This guide explains how to plan a cloud migration that delivers real business value, including the specific considerations that matter for organizations in Uganda and across Africa.
At a glance
- Cloud migration should start with clear business goals, not with technology for its own sake.
- A thorough assessment of your systems, data, risks and costs is the most important step, and often takes as long as the migration itself.
- The "6 Rs" framework helps decide what to do with each application: rehost, replatform, refactor, repurchase, retire or retain.
- The safest migrations move in phases, starting with low-risk systems and progressing to business-critical ones.
- For African businesses, costs in foreign currency, connectivity, data residency and local regulation deserve special attention.
- The cloud is the foundation for modern data and AI capabilities, so a good migration pays off long after it is finished.
Why migrate to the cloud?
The strongest reasons to migrate are tied to business outcomes:
Reliability. Major cloud providers run their infrastructure across multiple data centres with redundant power, cooling and networking. For most organizations, that is far more resilient than a single on-premise server.
Scalability. Cloud resources can grow or shrink with demand. An e-commerce platform can handle a holiday sales spike, and a SACCO's system can cope with month-end activity, without buying hardware that sits idle the rest of the year.
Cost model. Instead of large upfront hardware purchases every few years, the cloud shifts spending to a pay-as-you-go model. This frees capital, although it requires active cost management (more on that below).
Security and recovery. Cloud platforms offer encryption, identity management, automated backups and disaster recovery options that would be expensive to build in-house.
Speed of delivery. Developers can create test environments in minutes, automate deployments and release new features faster.
Access to modern capabilities. Managed databases, analytics platforms, machine learning services and AI models are all far easier to use in the cloud.
Just as important is knowing when not to migrate for the wrong reasons. Moving to the cloud because competitors are doing it, or because it feels modern, often leads to budget shocks and disappointment. Every migration should answer a clear question: what will this make better for our business?
Understanding your cloud options
Before planning a migration, it helps to understand the main ways organizations use the cloud.
Public cloud. Infrastructure is provided by major vendors such as Amazon Web Services, Microsoft Azure and Google Cloud, and shared securely across many customers. It offers the widest range of services and the greatest scalability.
Private cloud. Infrastructure is dedicated to one organization, either on its own premises or in a local data centre. It offers more control, which can matter for strict regulatory or data residency requirements.
Hybrid cloud. Some systems run in the public cloud while others stay on-premise or in a private cloud, connected securely. Many banks, government bodies and health organizations use this model.
Multi-cloud. Workloads are spread across more than one cloud provider, to avoid dependence on a single vendor or to use each provider's strengths.
You will also hear three service models:
- Infrastructure as a Service (IaaS): you rent virtual servers, storage and networks and manage everything on top.
- Platform as a Service (PaaS): the provider manages the underlying platform, such as databases or application hosting, so your team focuses on the software.
- Software as a Service (SaaS): you use complete applications, such as email, CRM or accounting, delivered over the internet.
Step one: assess your readiness
A successful migration starts with a clear picture of where you are today. A cloud readiness assessment covers both technology and business.
Applications and dependencies. List every system, what it does, who uses it, how critical it is and what it connects to. Hidden dependencies are one of the most common causes of migration failures.
Data. Understand what data you hold, how much there is, how sensitive it is and where it is allowed to be stored.
Infrastructure and performance. Measure current usage, performance and capacity so you can size cloud resources correctly and compare results afterwards.
Security and compliance. Identify the regulations that apply to you, such as Uganda's Data Protection and Privacy Act or sector rules from the Bank of Uganda, and how each system currently meets them.
Costs. Build a realistic baseline of what your current infrastructure really costs, including hardware, power, maintenance, licences and staff time.
People and skills. Assess whether your team has the skills to run cloud infrastructure, and what training or support they will need.
From this assessment, define specific, measurable goals. "Move to the cloud" is not a goal. "Reduce system downtime to under an hour per quarter", "cut infrastructure costs by 20% within a year" or "migrate 30% of workloads with no critical downtime by the end of Q2" are goals you can plan and track against.
The 6 Rs: choosing a path for each application
Not every system should be moved the same way. The widely used "6 Rs" framework helps decide the right approach for each one.
Rehost (lift and shift). Move the application to the cloud as it is, with minimal changes. It is the fastest option and works well for simple systems or tight deadlines. The trade-off is that you do not gain much from cloud-native features, and some legacy applications run inefficiently, or more expensively, in the cloud without changes.
Replatform (lift, tinker and shift). Make a few targeted changes to benefit from the cloud, such as moving a self-managed database to a managed database service. This delivers quick wins in performance, reliability and maintenance with moderate effort.
Refactor (re-architect). Redesign the application to make full use of the cloud, for example by breaking it into microservices, using containers or adopting serverless functions. It is the most time-consuming option, but it delivers the greatest long-term flexibility and scalability. It makes most sense for core business systems and products that need to grow. We explore this in our guide to moving from a monolith to microservices.
Repurchase (replace with SaaS). Replace an existing system with a cloud-based product, such as moving from an old desktop accounting package to a modern cloud ERP. This reduces maintenance but requires careful data migration, integration and change management, and subscription costs add up over time.
Retire. Switch off applications that are no longer used, duplicate other systems or cost more than they deliver. Assessments almost always uncover some. Before retiring anything, check for hidden dependencies and records you are legally required to keep.
Retain. Keep certain systems where they are, at least for now. This is sensible for applications with strict data residency requirements, very low-latency needs or no clear benefit from moving. The result is a hybrid setup that needs secure connectivity and consistent identity management.
Most migrations use several of these approaches at once, chosen system by system.
A phased migration roadmap
Moving everything at once is rarely wise. A phased approach manages risk, keeps services running and builds confidence as you go.
Phase 1: Plan and prepare. Complete the assessment, choose a strategy for each system, select your cloud provider or providers, and create a roadmap with clear milestones, budgets, owners and rollback plans.
Phase 2: Build the landing zone. Set up the cloud foundation before moving any workloads: accounts and structure, networking, identity and access management, security controls, logging, monitoring and cost tracking. Building this with infrastructure as code makes it consistent and repeatable.
Phase 3: Pilot. Migrate one or two low-risk applications first. This tests your processes, reveals surprises early and gives the team hands-on experience.
Phase 4: Migrate in waves. Move the remaining systems in planned groups, from less critical to more critical. Typically data and infrastructure move first, followed by applications, then optimization. Every wave should include testing, a planned cutover window and a tested way to roll back.
Phase 5: Optimize and operate. After each migration, monitor performance and costs, right-size resources, and continue improving. Migration is the beginning of cloud operations, not the end.
Challenges to plan for
Unexpected costs. Cloud spending is variable. Without monitoring, idle resources, oversized servers and data transfer charges can quickly inflate bills. For African businesses, there is an extra factor: most cloud services are billed in US dollars, so exchange-rate movements directly affect costs. Budgets should include a buffer, and spending should be tracked from day one.
Connectivity and latency. Cloud systems depend on reliable internet. Organizations should invest in redundant connections from different providers, and consider which systems must keep working during an outage. The location of your cloud region also matters. Major providers now operate regions in South Africa, which are generally closer to East African users than European regions, and local data centres in the region offer additional options for latency-sensitive or regulated workloads.
Data residency and compliance. Uganda's Data Protection and Privacy Act places conditions on processing personal data and on transferring it outside the country. Banks, health providers and public institutions often face additional sector rules. Understand exactly where your data will be stored, and whether a public, private or hybrid approach is needed for certain data.
Shared security responsibility. In the cloud, the provider secures the underlying infrastructure, but you remain responsible for how your systems are configured, who can access them and how data is protected. Many cloud breaches come from simple misconfigurations, such as storage left open to the internet. Strong cybersecurity practices are essential from the first day.
Legacy compatibility. Older applications may depend on specific hardware, operating systems or network setups that the cloud does not support directly. These systems may need replatforming, refactoring or a carefully designed hybrid arrangement.
Downtime during cutover. Moving databases and live systems carries risk. Careful planning, data replication, rehearsed cutovers and rollback plans keep disruption to a minimum.
Skills and culture. Cloud changes how IT teams work. Operations become more automated, developers take on more responsibility for deployment, and finance teams must manage variable costs. Without training and clear communication, adoption slows and old habits creep back.
Best practices for a successful migration
Set governance first. Define who can create resources, how access is controlled, how data is classified and encrypted, and how compliance is monitored. Use multi-factor authentication and least-privilege access everywhere, and automate policy checks where possible.
Automate everything you can. Use infrastructure as code tools such as Terraform to build environments consistently. Use CI/CD pipelines to deploy applications automatically and safely. Use container orchestration such as Kubernetes where it fits. Automation reduces errors and makes migrations faster and repeatable. This is the core of modern DevOps.
Manage costs actively. Tag resources by team or project, set budgets and alerts, review usage regularly, shut down idle resources, choose the right storage tiers and use reserved or committed pricing for predictable workloads. This practice, often called FinOps, can make a significant difference to your monthly bill.
Monitor performance continuously. Track uptime, response times, error rates and resource usage, with alerts that reach the right people quickly. Use this data to right-size resources and configure auto-scaling for changing demand.
Plan for disaster recovery. Back up data automatically, store copies in separate locations, and test recovery regularly. A backup you have never restored is only a hope.
Bring business and IT together. IT teams decide how to migrate, but the business decides why and in what order. Regular communication, visible quick wins and training help everyone understand and support the change.
The cloud is the foundation for AI
There is one more reason the cloud matters so much today. Modern AI depends on it. Training and running AI models, processing large datasets and connecting AI agents to business systems all require computing power, storage and managed services that are far more practical in the cloud than in a server room.
An organization whose data sits on an ageing local server, disconnected from other systems, will struggle to use AI safely or effectively. An organization with well-organized cloud infrastructure, clean data pipelines and secure APIs can add analytics dashboards, intelligent automation and AI assistants much more quickly. In practice, a well-planned cloud migration is often the first real step on an AI journey.
NASDAN as your partner on the AI journey
Cloud migration is not a single leap. It is a carefully planned journey that, done well, makes your business more reliable, more flexible and ready for the opportunities that data and AI bring. The organizations that succeed start with clear goals, assess honestly, migrate in phases and keep optimizing long after the move.
At NASDAN, we help organizations across Uganda and beyond move to the cloud with confidence:
- Cloud readiness assessment and strategy. We map your systems, data, costs and risks, define the right approach for each application and build a realistic, phased roadmap.
- Migration and modernization. Our cloud and infrastructure team migrates workloads to AWS, Google Cloud or Azure, and our custom software engineers replatform or refactor applications where it adds value.
- DevOps and automation. We build landing zones with infrastructure as code, set up CI/CD pipelines and container platforms, and automate deployments through our DevOps practice.
- Security and compliance. We design secure cloud environments with strong identity controls, encryption and monitoring, aligned with Uganda's Data Protection and Privacy Act, through our cybersecurity services.
- Data and analytics. We migrate and organize your data, then turn it into insight with our data analytics and BI expertise.
- AI enablement. With your cloud foundations in place, we help you put AI and machine learning to work on real business problems.
- Ongoing operations. Our managed IT services keep your cloud environment monitored, secure, cost-efficient and performing well.
We support startups building on the cloud from day one and enterprises modernizing complex estates, across finance, health, government and more. Every engagement follows our proven five-phase delivery process. See our work in our case studies.
Ready to plan your move to the cloud? Start a project or talk to our team about a migration roadmap built around your goals.
