When fast-growing digital products begin to scale, issues that look small on the surface often reveal deeper architectural cracks underneath.

This is exactly what happened when a global fitness brand serving 5,000+ recurring customers across multiple countries reached out to BSP Technologies®.

The product had strong potential:

• A sleek mobile app

• A supporting web admin panel

• A rapidly growing subscriber base

• Global expansion already in motion

But the internal systems were unreliable, inconsistent, and collapsing under hidden load.

This is the story of how our engineering team restored stability, rebuilt trust, and transformed a struggling system into a high-performance, scalable platform within weeks.

1. The Problems the Client Faced

Before approaching bsp technologies®, the brand had been working with a previous freelance team. Over time, the product started showing severe issues:

1. Critical modules were failing frequently: Leaderboard, session tracking, metrics, rewards, and daily activity sync. Everything was unstable.
2. Subscription tracking was inaccurate: With thousands of recurring customers, even minor misalignment caused revenue confusion.
3. Onboarding broke depending on the sales channel:Each partner or funnel sent different data formats → inconsistent user journeys.
4. Session recordings were still manually entered:Operational drag, human error, and no validation.
5. Wearable + health metric sync was broken

• Step count didn’t update

• Watch/Health Connect data failed

• Digital scale readings never reached the server

This directly affected leaderboard accuracy, user motivation, milestone rewards, and diet planning the heart of the product.

2. Our First Step: Diagnose, Don’t Patch

Rather than rushing into fixes, we deployed a cross-functional team to conduct a deep technical audit:

• Code review

• Infrastructure review

• Query analysis

• Cron job inspection

• End-to-end subscription validation

• Device sync flow mapping

• App–server communication behaviour

Within the first month, we had a complete map of root causes.

3. Phase 1: Fixing the Core Functional Failures

Our team rolled out the first production update covering:

• Correct step and health metric sync

• Accurate subscription state logic

• Clean onboarding flow

• Stable leaderboard and milestone tracking

• Fixed diet plan metric dependency

• Repaired workout session behaviour

To prevent a single user from reporting broken rewards or inaccurate progress, we proactively synced:

✔ All users’ step + watch metrics for the last 30 days

This eliminated historic discrepancies and prevented fresh complaints from day one.

This extra step earned immediate trust from the client.

4. Phase 2: The Unexpected The Server Went Down

The day after the update, the client called:

“The application is down.”

We requested AWS access (still in transition at the time), logged in, and saw this:

CPU usage: locked between 45% and 60% all day even when no users were active.

This wasn’t a normal load.

This was a system slowly collapsing.

Below is the actual CPU graph before the fixes:

The pattern indicated:

• Internal processes → not user traffic

• Identical energy spikes → timed tasks

• Repetitive load → something running every minute

And then we found it.

The Root Cause: 25 Cron Jobs Running Every Minute

The previous team had built:

• 25 different cron jobs

• All executing every 60 seconds

• Running heavy, unoptimised queries

• Sending notifications across time zones

• With no batching & no checks

• Even when workloads did not exist

It was a textbook example of how poor task scheduling destroys server health.

We prepared a detailed issue document and asked for three days to repair the architecture. The client agreed immediately.

5. Phase 3: Fixing the Foundation The Right Way

In just 48 hours, our team:

• Rewrote every major cron job

• Eliminated redundant schedules

• Added indexing to heavy queries

• Introduced queue-based task handling

• Grouped notifications by time zone

• Applied conditional logic

• Removed dead code paths

• Split load where required

• Cleaned the scheduling architecture

After deployment, the difference was night and day.

6. CPU usage dropped from 45–60% → stable 5%

Here is the after-optimisation CPU graph:

The system became:

• Faster

• Predictable

• Cost-efficient

• Scalable

• Stable under load

• Ready for global expansion

7. The Outcome

Within weeks, the client moved from instability and user complaints to a performance-driven, predictable system.

8. What we achieved:

• Fixed all functional issues in a single release

• Restored data accuracy for all users

• Stabilised the system for global scaling

• Reduced CPU usage by up to 90%

• Eliminated hidden architectural risks

• Delivered fast without excuses

• Achieved all improvements without downtime

• Provided constant communication throughout

9. What This Project Proves

At BSP Technologies®, we don’t treat engineering as task execution.We treat it as ownership.

This project reflects our core values:

• No blame shifting

• No delays

• No excuses

• Root cause before patching

• Clear communication

• Fast execution

• Long-term thinking

Most importantly we protected the client’s business, not just their code.

10. Final Thoughts for SaaS Founders & CTOs

If your product is growing but stability isn’t keeping up, you don’t need more developers you need the right architectural decisions.

This project is a perfect example of how:

• A few hidden issues can sink user trust

• Good engineering can turn a product around

• Proactive steps can prevent future failures

• A stable system accelerates growth

At BSP Technologies®, we specialise in rescuing, restructuring, and scaling digital products across industries.

If your system is facing performance issues, operational bottlenecks, or scalability challenges