The Challenge
An enterprise backend's batch processing and data pipelines were straining under growing volume, with server load creeping toward capacity during every peak run.
Case Study · Enterprise Backend
A High-Volume Data Pipeline Rebuild
An enterprise backend's batch processing and data pipelines were straining under growing volume, with server load creeping toward capacity during every peak run. We redesigned the pipeline architecture end to end, cutting server load by 70% without a single hour of processing downtime during the migration.
70%server load cut
NDA-protected engagement
The Story
What we walked into, and what we built
What We Built
We redesigned the pipeline architecture end to end, cutting server load by 70% without a single hour of processing downtime during the migration.
The Result
70%
server load cut
Client and platform names stay under NDA, consistent with the rest of our case studies — the engineering, and the outcome, are real.
How We Delivered This
The same path, every project
Clear stages, visible progress, and ownership that continues after launch.
01
Discovery
We map requirements, existing systems, constraints, and success criteria.
02
Architecture
Technical planning, risk review, and technology decisions documented before build.
03
Development
Iterative sprints with visible progress and working demos every sprint.
04
QA & Validation
Testing against real scenarios before anything reaches production.
05
Deployment
Controlled releases with rollback plans and zero-downtime where possible.
06
Support
Continuous improvement after launch, because production issues are our problem too.
Have a project like this one?
Tell us what you're running today and where it needs to get to. We'll come back with a straight scope and a realistic timeline, not a sales pitch.