Services · SaaS Product Engineering & Scaling
As a SaaS scaling company with 8+ years of production engineering experience, TechEniac helps businesses transform working products into production-grade platforms capable of serving 10×–100× more users without rewriting what already works.
Trusted to build
Capabilities
We conduct comprehensive architecture reviews that identify specific performance bottlenecks not vague observations, but precise findings. Our audit covers your codebase, database schema, infrastructure setup, deployment pipeline, and monitoring configuration, delivering a prioritised remediation plan that distinguishes between what needs architectural change and what needs configuration adjustment.
Database performance is the most common scaling bottleneck and the most cost-effective to resolve. Our database optimisation services cover index analysis and creation for high-traffic queries, query restructuring to eliminate inefficient patterns, connection pooling configuration, read replica implementation for query-heavy workloads, and table partitioning for high-volume datasets.
For products that have outgrown single-server deployments, we implement container orchestration using AWS EKS (Kubernetes) or ECS Fargate. Our infrastructure engineering ensures automatic scaling tied to real demand metrics, zero-downtime deployments, resource isolation between workloads, and multi-region deployment for global performance.
We evolve your architecture incrementally from monolith to modular, single-tenant to multi-tenant, single-region to global while maintaining production stability throughout. In 8 years of scaling engagements, we have recommended full rewrites exactly twice. Every other engagement preserved the existing product while systematically improving its scalability.
You cannot optimise what you cannot measure. We instrument every scaled product with application performance monitoring, error tracking, infrastructure monitoring, custom business metrics, and alerting with escalation policies providing real-time visibility into system health and user-facing performance.
Our team extension model places dedicated TechEniac engineers inside your existing team same Slack channels, same standups, same repository, same coding standards. They bring specialised scaling expertise your current team doesn't have, without the cost and delay of full-time hiring.
Delivery process
Our engineering team reviews your existing codebase, database schema, infrastructure setup, deployment pipeline, and monitoring configuration. We identify specific bottlenecks not general observations, but precise findings that explain exactly why your product is struggling under current load. RGuroo's audit identified that R computation sessions shared a single-threaded process explaining exactly why the platform crashed during every exam period.
This phase addresses performance issues that can be resolved through configuration and optimisation: database indexing on high-traffic queries, elimination of inefficient query patterns, Redis caching for frequently accessed data, CDN configuration for static assets, and connection pooling for database connections. Our creator platform's smart link redirect latency dropped from 800ms to under 200ms globally through infrastructure optimisation alone.
This phase addresses structural limitations that optimisation alone cannot resolve. Interventions may include modular decomposition of monolithic architectures, multi-tenant data isolation implementation, containerisation with auto-scaling infrastructure, read/write path separation, and CI/CD pipeline modernisation. RGuroo's computation layer was re-architected from a single shared process to isolated Docker containers managed by a Redis job queue.
As user bases grow, new performance challenges emerge. Features that performed adequately at 5,000 users may struggle at 50,000. Our ongoing production operations include real-time monitoring and alerting, automated scaling policies responsive to actual load patterns, database performance tracking and optimisation, infrastructure cost management, and incident response with root cause analysis.
Industries served
Viral traffic handling, global CDN optimisation, real-time data pipelines. Platform scaled to 10,000+ creators with 99.9% uptime.
HIPAA-compliant infrastructure, multi-facility coordination, hospital-grade availability. Platform deployed across 4 hospitals covering 800+ beds with $3.2M annual revenue impact.
Concurrent computation handling, exam-period surge management, academic data isolation. Platform handling 500+ concurrent sessions with near-zero timeout rate through midterm and finals peaks.
Multi-tenant workflow execution, per-workspace data isolation, audit-grade logging. Platform serving 120+ enterprise clients with 97.3% workflow success rate.
Compliance-grade architecture, multi-jurisdiction data handling, high-availability deployment. RAG platform achieving 90%+ compliance accuracy with sub-second response times.
Tech Stack
| Database & data layer | PostgreSQL (row-level security, read replicas, PgBouncer), MongoDB (replica sets), Redis (caching, queues, rate limiting) |
| Container orchestration & infrastructure | AWS EKS (Kubernetes), AWS ECS Fargate, Docker |
| CDN & edge delivery | CloudFront, Cloudflare |
| Monitoring & observability | Datadog APM, Sentry, CloudWatch, PagerDuty |
| CI/CD & infrastructure-as-code | GitHub Actions, Terraform / AWS CDK, Blue-green / canary deployments |
Recent work
Smart link engine with <200ms global response time. AI content verification with Gemini vision models. Bulk link generation processing hundreds of smart links in minutes on AWS Kubernetes.
10,000+ creators · +50% engagement · 97% setup-time reduction · 99.9% uptime
Read the case study →
Hub-and-spoke multi-agent platform for a 4-hospital regional system. LangGraph orchestrator dispatches bed management, surgical coordination, discharge facilitation, and capacity forecasting agents. Epic SMART on FHIR, HIPAA-compliant, full audit trail.
−52% ED boarding · OR utilisation 67%→81% · −71% discharge delay · $3.2M annual revenue impact
Read the case study →“TechEniac didn't propose a rewrite. They identified exactly what was breaking, fixed it in order of impact, and our platform went from crashing during exams to handling 500+ concurrent users. Two years later, they're still our core engineering team.”
“TechEniac pushed back on our original feature list and reduced it to a half-page scope document. That discipline is why we launched on time and scaled to 10,000+ creators in the first year.”
“Most agencies said yes to everything and quoted us the next day. TechEniac asked hard questions, challenged our assumptions, and told us what to cut. That's when we knew they were the right partner.”
“TechEniac doesn't disappear after launch. They stayed through product-market fit, scaling, and feature expansion. Our partnership is 2+ years and counting.”
Book a free 30-minute strategy session. We’ll review your product idea, discuss architecture options, and map a realistic path from idea to launch.