Cloud & Software Engineering
Production-grade software, from first commit to the infrastructure that keeps it running
Some needs do not fit a predefined category: a new digital product, a platform that must scale, or a legacy system that can no longer keep up. Our engineering teams design, build and operate custom software end to end, from architecture and code to cloud infrastructure, delivery pipelines and monitoring.
Cloud & Software Engineering
The challenge
Software that works in a demo but struggles in production
Many applications are built quickly to meet a deadline and then struggle under real use. Releases are manual and risky, nobody knows the system is down until users call, and every change to an ageing codebase breaks something else. Over time, technical debt slows the organisation more than any competitor.
Teams across Africa also face practical engineering constraints: variable network quality for end users, cloud regions that may be far from the people served, cost sensitivity to foreign-currency infrastructure bills and a market for experienced engineers that remains competitive. Good architecture accounts for all of these from the outset.
- Manual deployments that require downtime and a late-night team on standby
- Outages discovered by customers rather than by monitoring
- Legacy applications that are risky to change and hard to staff
- Cloud bills that grow faster than usage, with no clear owner
- Web and mobile applications that are slow on mid-range phones and weak networks
Capabilities
What we design and build in this domain.
Enterprise application engineering
Business-critical applications designed for long service lives, with clear domain models, maintainable code and documentation.
Backend and frontend engineering
Robust services and APIs paired with fast, accessible web interfaces, built with typed languages and modern frameworks.
Mobile development
Native and cross-platform iOS and Android apps optimised for performance, offline use and modest devices.
API platforms
Versioned, documented APIs with authentication, rate limiting and developer portals for internal teams and external partners.
Cloud-native infrastructure
Infrastructure as code on public cloud or hybrid environments, with managed services, autoscaling and cost controls.
Microservices and containers
Service decomposition where it pays off, container orchestration and messaging, without fragmenting systems that are better kept whole.
DevOps and CI/CD
Automated build, test and deployment pipelines with preview environments, progressive rollouts and fast rollback.
Observability
Metrics, logs, traces and alerting tied to service-level objectives, so issues are detected and diagnosed before users notice.
Testing and application security
Unit, integration and end-to-end testing, security scanning and code review practices built into everyday development.
System modernization
Incremental migration of legacy applications to modern architectures, replacing components step by step while the business keeps running.
Example use cases
Illustrative examples of how these capabilities can be applied.
- 01 · Startups and corporate innovation teams
Launching a new digital product
A team with a validated idea could go from prototype to a production-ready web and mobile product, with the architecture, pipelines and monitoring needed to grow.
- 02 · Established enterprises and institutions
Modernising a legacy platform
An organisation running a critical but ageing application could wrap it with APIs, migrate functions progressively to new services and retire the old system without a risky cut-over.
- 03 · Banks, telecoms and platform businesses
Building a partner API platform
A company opening its services to partners could publish secure, documented APIs with self-service onboarding, usage analytics and sandbox environments.
- 04 · In-house technology teams
Strengthening delivery and reliability
An internal team could work alongside our engineers to introduce CI/CD, infrastructure as code and observability, raising release frequency and confidence together.
Technical approach
How we engineer software for the long term
We optimise for software that remains easy to change years after launch. That means pragmatic architecture, disciplined engineering and automation in every repetitive step.
- 01
Architect for the real constraints
We clarify expected load, data sensitivity, latency, budget and team skills, then choose an architecture that fits rather than the most fashionable one.
- 02
Automate the path to production
From the first week, every change is built, tested and deployable through a pipeline, with infrastructure defined as code.
- 03
Deliver in small increments
We ship working software frequently, review it with you and adjust priorities based on feedback and usage data.
- 04
Operate and hand over
We run the system with monitoring and incident procedures, document it thoroughly and transfer knowledge to your team when you are ready to own it.
Technologies & practices
- TypeScript and Node.js
- Go
- React and Next.js
- React Native and Kotlin / Swift
- PostgreSQL
- Kubernetes
- Terraform
- GitHub Actions
- OpenTelemetry
- OpenAPI
Security & scalability
Secure by design, ready to scale
Application security and scalability are engineering disciplines, not features. We apply them continuously across code, infrastructure and operations.
Secure development lifecycle
Threat modelling, peer review, dependency and secret scanning, and static analysis are standard steps in every delivery pipeline.
Least-privilege infrastructure
Network segmentation, scoped service identities and centrally managed secrets limit the impact of any compromised component.
Resilience engineering
Redundancy across availability zones, health checks, graceful degradation and tested backups keep services available through failures.
Horizontal scalability
Stateless services, caching and asynchronous processing allow capacity to grow with demand without redesign.
Cost-aware cloud operations
Right-sizing, autoscaling, budgets and tagging keep infrastructure spending visible and proportionate to usage.
Performance for every network
Performance budgets, edge caching and payload optimisation keep applications responsive on mid-range devices and slower connections.
Frequently asked questions
What kinds of custom software development projects do you take on?
We build web platforms, mobile applications, APIs, internal business tools and the cloud infrastructure behind them, from new products to the modernisation of existing systems. We are most useful where reliability, security and long-term maintainability matter.
Which cloud providers do you work with?
We work with major public cloud providers and hybrid setups, and we choose based on your requirements for data location, latency, cost and existing contracts. We use infrastructure as code to limit lock-in where portability matters.
Do we own the source code?
Ownership terms are set in each contract. Our standard approach is that clients own the code and documentation produced for them, delivered through their own repositories.
Can you work alongside our in-house team?
Yes. We can deliver complete projects, extend your team with specific skills or help establish engineering practices such as CI/CD and observability, with knowledge transfer built into the engagement.
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Gombe, Kinshasa, DR CongoPhoto: MONUSCO/Abel Kavanagh — CC BY-SA 2.0
Contact
Let’s discuss your project.
Tell us about your context and constraints — we’ll share how we would approach it.