Case Studies

Real results. Real companies.

See how companies across fintech, data engineering, e-commerce, DevOps, and healthcare used AlphoTech to transform their most critical systems.

Fintech · DevOps4-hour deployments → 12 minutes. 95% faster. Zero failures.

How a Series B fintech went from 4-hour deployments to 12-minute releases — with zero downtime and zero rollback failures

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Faster deployment time
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Deployment failures post-launch
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Release frequency increase
$0K
Annual infrastructure savings
The Challenge

A Series B fintech processing $50M+ in monthly transaction volume was trapped inside a 5-year-old Rails monolith. Every production release was a 4-hour, company-wide event requiring two senior engineers, a manual QA checklist of 47 steps, and a prayer. Hotfixes required the same ceremony.

The engineering team had reduced releases to once every two weeks — not because the code wasn't ready, but because the deployment process was too painful to run more often.

The underlying database had grown to 340 tables with no clear domain boundaries. Feature development had slowed to a crawl as any change risked cascading failures across unrelated payment flows.

The Architecture

AlphoTech began with a 2-week domain mapping exercise, identifying 12 distinct bounded contexts within the monolith: authentication, KYC, payment processing, ledger, notifications, reporting, webhooks, fraud detection, reconciliation, user management, compliance, and API gateway.

Each became an independently deployable Go microservice with its own PostgreSQL schema, Redis cache layer, and Kafka event stream for inter-service communication. We implemented the Strangler Fig pattern — new services consumed traffic gradually while the monolith handled decreasing percentages until it was fully decommissioned.

GitHub Actions powered each service's CI pipeline with automated unit, integration, and contract tests. AWS EKS with Helm charts managed deployment. Blue-green deployment strategy with automated health checks and instant rollback eliminated deployment risk entirely. Grafana + Prometheus + PagerDuty provided full observability from day one.

The Outcome

Eight weeks after engagement start, the first microservice went to production in 11 minutes — from commit to live. The engineering team shipped 47 releases in the following month, compared to 2 in the month prior.

Deployment failures dropped to zero in the first 6 months post-migration. Infrastructure rightsizing across 12 independent services reduced AWS spend by $180K annually.

The team went from fearing releases to treating them as non-events. Three months later, they hired two additional engineers — because the system was finally stable enough to build on.

Tech Stack

Go
Kubernetes
AWS EKS
Kafka
PostgreSQL
Redis
Terraform
GitHub Actions
Helm
Grafana
Prometheus

Delivery Timeline

Week 1–2
Domain mapping + bounded context design
Week 3–4
First 3 microservices + Kafka setup
Week 5–6
CI/CD pipelines + K8s cluster
Week 7–8
Strangler Fig migration + go-live

We went from dreading releases to shipping 3x more often. AlphoTech didn't just migrate our infrastructure — they gave our engineering team back their confidence.

— CTO, Series B Fintech

Ready to be next?

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Book a free 30-minute architecture audit. We will review your current system, identify the three highest-impact improvements, and show you exactly what AlphoTech can deliver — with no commitment required.

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