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Our Infrastructure

The tools we trust
with our clients'
most important work.

Infrastructure choices are not neutral. The platforms a technology firm runs on signal how seriously it takes engineering discipline, security, scalability, and long-term maintainability. Here is what GreaterHeight is built on — and why.

Platforms & tools at a glance

AWS Azure Google Cloud Docker Kubernetes GitHub React Node.js Python PostgreSQL MongoDB dbt Power BI Terraform LangChain WordPress Jira Figma

Infrastructure is a statement about what you value

A firm that builds on whatever is cheapest is telling you something about how it prioritises quality. A firm that chases every new tool is telling you something about its depth. GreaterHeight's infrastructure choices are deliberate: proven tools with strong communities, appropriate for the class of problem, and matched to the operating environments our clients work in.

We do not adopt technologies because they are fashionable. We adopt them because they are right for the job, supported well enough to be reliable, and mature enough that the risks are known. When a newer tool is genuinely better for a specific problem, we use it — with a clear rationale, not because it appeared in a conference talk.

Equally, we do not lock clients into exotic stacks that only our team can maintain. The tools below are widely understood, well-documented, and manageable by any competent engineering team after we hand over. That is the point.

Proven, not fashionable

We choose tools with established track records and active communities. A technology that has been in production for five years and solved real problems is more valuable than one that is three months old and trending.

Maintainable after handover

Every technology choice is evaluated against a simple question: can the client's own team, or any competent team they hire later, understand and extend this without coming back to us?

Context-appropriate

A stack that works well for a Silicon Valley SaaS startup with fibre broadband and a 20-person engineering team is not automatically right for a Lagos-based logistics firm with mixed connectivity and a team of three. Context shapes the choice.

Engineering

Software development & product engineering

The languages, frameworks, and tooling we use to build software — from mobile and web applications to APIs, SaaS platforms, and enterprise systems. Choices are made per project based on client context, team profile, and long-term maintainability.

Languages

Python · JavaScript · TypeScript

Primary languages across web, data, AI, and automation workloads. Python for data engineering and AI. TypeScript for large-scale front-end and back-end Node.js projects.

BackendFrontendData

Frontend

React · Next.js · Vue.js

React and Next.js for SPAs and SSR web applications. Vue.js for projects where a lighter framework is more appropriate. HTML5/CSS3 for content-first sites where a full framework adds unnecessary overhead.

WebSPASSR

Backend & APIs

Node.js · Django · FastAPI · .NET

Node.js for real-time and event-driven systems. Django and FastAPI for Python-based APIs and data-heavy back ends. .NET for enterprise integration projects where the client ecosystem requires it.

APIRESTEnterprise

Mobile

React Native · Flutter

React Native where a shared codebase and web-familiar development team matters. Flutter where native performance and a single codebase across Android and iOS is the priority.

iOSAndroid

CMS & E-Commerce

WordPress · WooCommerce · Shopify

WordPress remains the right choice for many content-led and marketing sites — mature, well-supported, and manageable by non-technical teams. Shopify for commerce where a hosted platform removes operational burden.

CMSCommerce

Version Control & CI/CD

GitHub · GitHub Actions · GitLab

All projects under version control from day one. GitHub Actions for CI/CD pipelines. Automated testing, linting, and deployment verification on every pull request — not as an afterthought at handover.

DevOpsAutomation
Cloud & DevOps

Cloud infrastructure & DevOps

The platforms, tools, and practices that keep systems running reliably — from initial provisioning through to monitoring in production. We design for the constraints of African infrastructure, not just the ideal conditions.

Cloud Platforms

AWS · Microsoft Azure · Google Cloud

Multi-cloud capable. AWS for most production workloads given its breadth and African region availability. Azure for clients with existing Microsoft ecosystems. GCP for data and ML-heavy deployments.

Multi-cloudProduction

Containerisation

Docker · Kubernetes

Docker for consistent build and deployment environments. Kubernetes for orchestrating containerised workloads at scale. Applied where the complexity is warranted — not imposed on projects where a simpler deployment serves equally well.

ContainersOrchestration

Infrastructure as Code

Terraform · AWS CloudFormation

Infrastructure defined in code, version-controlled, and reproducible. Environments are not built by hand and documented in a spreadsheet. Every production environment has a corresponding IaC definition.

IaCReproducible

Monitoring & Observability

Datadog · AWS CloudWatch · Sentry

Application performance monitoring, error tracking, and alerting configured before launch — not added when something breaks. Clients receive access to their own monitoring dashboards as part of handover.

APMAlerting

Low-Bandwidth Design

PWA · Offline-first · CDN-optimised

Applications designed for African connectivity realities: progressive web app patterns, offline capability where appropriate, CDN delivery for static assets, image optimisation, and graceful degradation on slow connections.

Africa-readyPWA

Security

OWASP · SSL/TLS · SAST/DAST

OWASP Top 10 awareness built into development practice. Automated static and dynamic security analysis. SSL/TLS enforced across all deployments. Security is not a final checklist — it is woven through the build.

SecurityCompliance
Data & AI

Data engineering, analytics & AI

From data pipelines and warehousing through to AI model integration and deployment. A growing proportion of GreaterHeight's engagements involve AI components — either as stand-alone projects or embedded into larger product builds.

Databases

PostgreSQL · MySQL · MongoDB · Redis

Relational databases for structured data with integrity requirements. MongoDB for flexible document storage. Redis for caching, session management, and real-time data structures. Chosen by the data model, not by default.

RelationalNoSQLCache

Data Pipelines

Apache Airflow · dbt · Kafka

Airflow for orchestrating data workflows. dbt for transforming data inside warehouses with version-controlled SQL. Kafka for event-driven architectures and real-time data streaming where the volume warrants it.

ETLStreaming

Data Warehousing

BigQuery · Snowflake · Redshift

Cloud data warehouses for analytical workloads that relational databases are not designed for. Choice depends on existing cloud estate and data volume — we recommend the right fit, not the platform we are most comfortable with.

AnalyticsWarehouse

Business Intelligence

Power BI · Tableau · Metabase

Power BI for Microsoft-integrated environments. Tableau for enterprise visual analytics. Metabase as a cost-effective, self-hostable option appropriate for many SME contexts — especially where the client team will own the dashboards.

BIDashboards

AI & Machine Learning

OpenAI · LangChain · TensorFlow · Hugging Face

LLM integration via OpenAI and Hugging Face models. LangChain for orchestrating AI workflows, RAG pipelines, and agents. TensorFlow and scikit-learn for custom model training when pre-trained models are insufficient.

LLMMLRAG

Search

Elasticsearch · Algolia · Typesense

Elasticsearch for full-text and vector search at scale. Algolia for projects where a managed hosted search reduces operational overhead. Typesense for self-hosted, bandwidth-efficient search appropriate for many African deployment contexts.

SearchVector
Delivery

Project delivery & collaboration

The tools that keep teams aligned, projects visible, and communication clear — with clients and within the GreaterHeight team. Chosen because they are widely understood and easy for clients to join without a learning curve.

Project Management

Jira · Trello · Notion

Jira for development-intensive projects where sprint tracking and issue management matters. Trello for lighter project boards. Notion for documentation-heavy work where a knowledge base is as important as the task list.

AgileTracking

Design & Prototyping

Figma · Adobe XD

Figma for collaborative UI/UX design with shared access for clients and developers. Design systems, component libraries, and prototypes live here — not in a file emailed back and forth.

UIUXPrototyping

Communication

Slack · Microsoft Teams · WhatsApp

Slack for internal team communication and client project channels. Teams where the client organisation is Microsoft-integrated. WhatsApp as the practical reality for client communication in Nigerian and broader African business contexts.

Real-timeAsync

Documentation

Confluence · Notion · GitHub Wiki

Technical documentation lives alongside the code in GitHub Wiki for developer-facing content. Confluence and Notion for broader project and operational documentation that client teams need to own and update after handover.

KnowledgeHandover

Digital Marketing

Google Analytics · SEMrush · Mailchimp

GA4 for web analytics and conversion tracking. SEMrush for SEO research and competitive analysis. Mailchimp and similar platforms for email marketing campaigns. All set up with proper consent and data governance from the start.

AnalyticsSEOEmail

Training Delivery

Zoom · Google Meet · LMS platforms

Remote training delivered via Zoom and Google Meet with recorded sessions for review. GreaterHeight Academy uses an LMS for structured course delivery — cohort management, assessments, and completion tracking built in.

TrainingeLearning

Products we have built and operate ourselves

Beyond client work, GreaterHeight has invested in building its own platforms — tools that address specific gaps in the African digital ecosystem, and that demonstrate the quality of engineering we apply to client projects.

DigitalSiWes

Digital Presence Platform

A structured programme for building and managing digital presence — websites, SEO, content strategy, and social media — designed specifically for African professionals, businesses, and brands seeking credibility in both local and international markets. Not a tool. A managed service with a defined process and measurable outcomes.

Learn about DigitalSiWes →

SearchArtisans

SEO & Search Intelligence

A search engine optimisation practice and platform focused on sustainable organic search growth. SearchArtisans combines technical SEO, content strategy, and AI-driven search intelligence to build durable search visibility — not short-term ranking plays that collapse at the next algorithm update.

Learn about SearchArtisans →

eCertMan

Certificate Management System

A platform for issuing, managing, and verifying digital certificates and credentials — built for training institutions, professional bodies, and organisations that need a reliable, fraud-resistant way to issue and validate certifications at scale. Purpose-built for the African institutional context.

Learn about eCertMan →

GreaterHeight Academy

Technology Training Institution

GreaterHeight's technology training arm — delivering structured programmes in software development, data engineering, digital marketing, and AI for professionals and organisations. The Academy is both a product and a proof point: if we can build capable technology professionals from scratch, we can certainly transfer knowledge to our client teams.

Learn about the Academy →

Ready to see how this infrastructure serves your project?

Bring us your requirements and we will tell you honestly what stack is right — and why.