Back to case studies
Crafted by Elite Station

Case study

Upcoach

Overview

Upcoach is an all-in-one platform for program creators to build, sell and run coaching and training programs, track participant progress and deliver results. Elite Station contributed backend product development and technical leadership as the multi-tenant SaaS product served a growing user base.

The engineering challenge was to help a feature-rich, customer-facing platform scale without sacrificing a responsive experience for program operators, coaches and participants.

Technologies

Technologies

  • Application platform: PHP and Laravel
  • Frontend: Vue.js
  • Data and cloud: MySQL, Redis and DigitalOcean
  • Delivery and observability: GitHub Actions, Grafana, Prometheus and Blackfire

Our contribution

Our contribution
  • Multi-tenant platform engineering: Contributed to the DigitalOcean and Laravel Forge operating environment and a multi-tenant architecture that can accommodate more customer activity while preserving tenant boundaries and reliability.
  • Data performance: Worked with MySQL and Redis caching to keep frequently used product journeys responsive and reduce unnecessary pressure on the primary datastore.
  • Delivery practice: Used GitHub Actions to support automated testing, integration and deployment workflows, helping the product team release improvements with greater confidence.

Our contribution

Client benefits
  • Monitoring and profiling: Integrated Grafana and Prometheus for system-health visibility, and used Blackfire profiling to identify performance bottlenecks in important request paths.
  • Sustainable scale: Strengthened a modular platform foundation that can evolve as customer demand and product scope expand.

Client benefits

Technologies
  • A stronger SaaS foundation for growing program-creator and participant activity.
  • Performance visibility that lets the team investigate and prioritize real bottlenecks.
  • More repeatable releases for product improvements that help creators build, sell and run successful programs.

Production LLM coding agents for Adalo’s AI app builder: multi-model routing, validated tool calls, per-app isolation and the tracing needed to improve cost, latency and output quality over time.

Adalo AI App Builder case study

For the best experience
Use the newest version of your browser.
Ideally Google Chrome.