20%
Cost optimized
Cloud Cost Optimization and Modernization
4
Weeks
Client Background
epiFi Technologies is the force behind Fi Money, India’s pioneering neo bank designed for salaried millennials. With features like the intelligent assistant #AskFi, automated savings rules (FiT Rules), and Stash, Fi Money has redefined how young professionals manage personal finance.
Behind this innovation, however, epiFi’s engineering teams relied on Google’s Monorail, an open-source issue tracking system hosted on Google Cloud. While the system was functional, it lacked the efficiency and scalability needed for a fast-moving FinTech, creating friction between innovation and growth.
The Challenge
As Fi Money’s user base expanded, so did the cracks in their cloud setup:
- Costs kept climbing — Monorail consumed more resources than required, pushing monthly spend upward with little visibility into optimization.
- Team collaboration suffered — Without integration into Slack, developers constantly switched between systems, slowing response times and productivity.
- Deployments lacked consistency — Release pipelines weren’t automated, creating bottlenecks and leaving room for error.
In an industry where speed, reliability, and cost-efficiency are non-negotiable, these challenges risked holding epiFi back from scaling confidently.
What We Did
Transcloud partnered with epiFi to redesign their cloud foundation without disrupting business operations. We began with a deep dive into the existing infrastructure, analyzing usage patterns, configurations, and performance gaps. Instead of patching the system, we built a parallel setup that allowed us to test and refine optimizations safely.
From there, the transformation unfolded:
- The Monorail architecture was restructured for efficiency, cutting out resource waste and reducing latency.
- CI/CD pipelines were automated using Jenkins and Cloud Build, ensuring faster, predictable releases.
- To improve collaboration, we extended Monorail to connect directly with Slack, giving teams real-time issue notifications and smoother workflows.
- Finally, we introduced auto-scaling components within Google Cloud, enabling epiFi to handle variable workloads seamlessly while keeping costs in check.
Each step was designed to not just fix today’s problems, but to create a platform that could support epiFi’s growth ambitions.
Results & Outcomes
The impact was immediate and measurable — but more importantly, it set epiFi up for the long run. Within just 4 weeks, the company saw:
- 20% reduction in cloud spend → monthly costs dropped significantly, unlocking budget for innovation instead of infrastructure overhead.
- Faster system performance → reduced latency and improved responsiveness across issue tracking, making developer workflows smoother.
- Release cycles accelerated → automated pipelines cut delays, empowering teams to deliver updates and fixes faster.
- Collaboration transformed → Slack integration turned issue tracking into a live, shared experience, speeding up resolutions.
- Scalability with confidence → GCP’s elastic infrastructure ensured epiFi could expand features without worrying about downtime or security risks.
In short, Transcloud turned epiFi’s cloud from a cost center into a growth enabler — delivering both immediate ROI and a foundation for continuous innovation.
Why Transcloud
Transcloud wasn’t just a migration partner for epiFi — we became their cloud growth partner. Where others might have delivered a simple cost cut, we aligned every technical decision to epiFi’s business goals: faster releases, stronger collaboration, and the ability to scale without fear of downtime or spiraling costs. That’s why the results went beyond a 20% saving — they gave epiFi a modern foundation for long-term growth.
At Transcloud, this is what we do:
- Architect for efficiency — eliminating waste without compromising performance.
- Engineer for growth — building scalable, secure platforms that evolve with your business.
- Deliver with speed — getting measurable results in weeks, not months.
