CASE STUDY

Slice Intelligence → Rakuten

How Infrastructure Velocity Enabled a $30M Acquisition

E-commerce analytics platform transformed from 3-week deployment cycles to 2-hour deployments, enabling competitive feature velocity that contributed to successful acquisition.

95%
Faster Deployments
3 weeks → 2 hours
$30M
Acquisition
Infrastructure cited as asset
3x
Features Launched
In first quarter

Business Context

The Challenge

Slice Intelligence was a fast-growing e-commerce analytics platform analyzing millions of receipts to track consumer spending patterns.

They had product-market fit and growing revenue, but their infrastructure was becoming a competitive liability.

Deployment cycles taking 3 weeks meant they couldn't iterate fast enough against competitors, and regular downtimes were damaging customer trust during their most critical growth phase.

Technical Challenge

Distributed Monolith

  • Running on EC2 instances
  • Manual deployment process
  • 3-week cycles

Operational Burden

  • 80% ops time firefighting
  • Regular downtimes
  • No test environment

Business Impact

  • Lost competitive deals
  • Customer churn
  • Engineering frustration

Strategic Approach

The Insight

This wasn't an infrastructure problem - it was a business velocity problem disguised as a technical issue.

Rather than optimize the existing monolith, we needed to architect for the business they wanted to become, not the system they currently had. The goal wasn't "better infrastructure" - it was "10x deployment velocity to enable acquisition."

Key Decisions:

  • • Microservices architecture focused on team autonomy
  • • EKS as foundation - managed control plane, focus on business logic
  • • CI/CD pipeline as the product (not an afterthought)

Implementation

Phase 1: Foundation

Weeks 1-4
  • • Designed microservices
  • • Built EKS cluster
  • • Implemented ArgoCD
  • • Created documentation

Phase 2: Migration

Weeks 5-12
  • • Decomposed to 40 microservices
  • • Migrated incrementally
  • • 100% uptime maintained
  • • Trained dev team

Phase 3: Optimization

Weeks 13-16
  • • Automated testing
  • • Built observability
  • • Self-service platform
  • • Documented runbooks

Business Impact

Immediate Results

  • • 3 weeks → 2 hours
  • • Zero planned downtime

Business Outcomes

  • • 3 features in first quarter
  • • 40% satisfaction improvement

The Acquisition

  • • $30M acquisition
  • • Infrastructure as asset