Client Overview

A B2B SaaS company providing marketing analytics and automation tools to enterprise customers. With 150 employees and $22M in ARR, they had experienced strong growth but were increasingly constrained by their legacy architecture.

The Challenge

As the company scaled, their technology infrastructure—originally built for speed-to-market rather than scalability—became a significant limiting factor. Performance issues were impacting customer satisfaction, and development velocity had decreased as engineers spent more time maintaining existing systems than building new features.

Key issues included:

  • Monolithic architecture causing bottlenecks during peak usage
  • 40% of engineering capacity dedicated to maintenance and bug fixes
  • Release cycles extending from bi-weekly to monthly due to integration challenges
  • Data processing delays affecting customer reporting
  • Security and compliance requirements creating additional burdens
  • New feature development taking 3x longer than historical benchmarks

Our Approach

We implemented our Tech Stack Optimization program focused on sustainable architectural transformation:

  1. Technical Assessment:
    • Conducted comprehensive architecture and code review
    • Analyzed performance bottlenecks and failure points
    • Mapped dependencies between system components
    • Evaluated total cost of ownership across the stack
  2. Strategic Roadmap:
    • Developed phased modernization strategy
    • Designed future-state architecture with scalability focus
    • Created evolutionary approach to minimize disruption
    • Established priority order based on customer impact
  3. Implementation:
    • Refactored high-impact components into microservices
    • Implemented cloud-native architecture for key workloads
    • Deployed automated testing and deployment pipeline
    • Enhanced monitoring and observability across systems
  4. Organizational Alignment:
    • Restructured engineering teams around domain boundaries
    • Established SLAs between service teams
    • Implemented DevOps practices across the organization
    • Created technology governance model for future decisions

The Results

Within 12 months of implementation, the company achieved:

  • Development velocity increased by 45% for new features
  • System performance improved by 60% during peak loads
  • Release frequency returned to bi-weekly cadence
  • Engineering maintenance time reduced from 40% to 15%
  • System availability improved from 99.5% to 99.98%
  • Cost per transaction reduced by 42%

The technology transformation enabled the company to successfully raise their Series C funding round, with investors specifically citing the modernized architecture as a key factor in their investment decision. The improved foundation also supported their expansion into two new product lines within 18 months.

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