Proof, Not Promises.
Results That Speak.
Every engagement is different. Here is a selection of real problems we solved — with the metrics to show for it.
VertexCloud: Zero-downtime migration of a $2B transaction platform to AWS
VertexCloud processed billions of dollars in transactions on a 14-year-old monolith. The platform was becoming a bottleneck — release cycles took 3 weeks and infrastructure costs were spiralling. SmallShark IT delivered a full microservices migration with live cutover.
The Challenge
Migrate 14 years of legacy .NET code to containerised Node.js microservices on Amazon EKS without missing a single transaction or incurring downtime.
Our Solution
- ✓Strangler-fig pattern migration — new services replacing modules one at a time, with feature flags controlling traffic routing.
- ✓Blue-green deployment with automated rollback triggers across 3 AWS regions.
- ✓Custom observability stack (Prometheus + Grafana) providing real-time business and infrastructure metrics.
TechBridge Health: HIPAA-compliant patient portal serving 500,000+ active users
TechBridge Health needed to replace a slow, desktop-only patient portal with a modern web application that worked on any device, passed HIPAA audits, and scaled to 500k monthly active users without performance degradation.
The Challenge
Build a greenfield HIPAA-compliant web portal with end-to-end encryption, full audit logs, SSO, and a globally distributed API averaging under 200ms response time.
Our Solution
- ✓Next.js 14 frontend with progressive enhancement and offline support for low-bandwidth clinic environments.
- ✓Node.js microservices on AWS ECS with RDS PostgreSQL — all data encrypted at rest (AES-256) and in transit (TLS 1.3).
- ✓Comprehensive audit logging with immutable WORM storage and automated compliance reporting.
NexaCorp: Real-time analytics dashboard processing 2 billion events/day
NexaCorp's data science team had valuable models but no way to surface insights to business users. Their existing BI tool was slow, un-customisable, and required SQL expertise. SmallShark IT built a purpose-built analytics platform from scratch.
The Challenge
Build a real-time analytics dashboard that could ingest 2B+ events/day, serve interactive charts in under 500ms, and be operated by non-technical business users.
Our Solution
- ✓Apache Kafka for event streaming + ClickHouse as the OLAP backend — delivering sub-second query responses at petabyte scale.
- ✓Custom React charting library with 24 chart types, drag & drop dashboards, and one-click report exports.
- ✓Row-level security and workspace isolation allowing enterprise clients to safely operate in a multi-tenant environment.
PulseAI: Production ML pipeline with 94% prediction accuracy at scale
PulseAI had trained promising ML models in Jupyter notebooks but had no path to production. Their data scientists needed a platform to deploy, monitor, and retrain models without engineering bottlenecks.
The Challenge
Design an end-to-end MLOps platform that could take models from notebook to production in hours, auto-scale inference capacity, and provide real-time accuracy monitoring.
Our Solution
- ✓MLflow + Kubeflow Pipelines for experiment tracking, model registry, and automated training pipelines.
- ✓FastAPI-based inference microservices with GPU auto-scaling on AWS SageMaker for cost-efficient serving.
- ✓Real-time drift detection dashboard alerting the team when model accuracy degrades below a configurable threshold.
Your Company Could Be Next
Tell us your challenge. We will scope the solution and give you an honest answer.
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