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Confidential

A Serverless Transformation for a Carbon Offset Platform

  • Infrastructure as Code: Provision and manage AWS infrastructure using automated IaC tools
  • Monitoring & Logging: Implement robust system monitoring and centralized logging for performance insights
  • CI/CD Pipelines: Set up continuous integration and deployment for faster, more reliable releases
  • Enhanced Security: Identify and address security vulnerabilities across infrastructure and applications
  • Load Testing: Design and execute load tests to ensure system scalability and performance
  • Zendesk Support Integration: Provide ongoing support and issue resolution via Zendesk ticketing
  • Merchant Onboarding Support: Assist in onboarding new merchants efficiently and securely
PLATFORMS

Confidential

DEVELOPMENT MODEL

Confidential

TECHNOLOGIES

Graphite, Prometheus, CloudWatch, Buildkite, Grafana, Terraform, AWS Lambda, AWS DynamoDB, Typescript, Python

TEAM SIZE

Confidential

CUSTOMER

Confidential

Clients

Headquartered in Sydney and Melbourne, the client is a pioneering company focused on delivering innovative carbon offset solutions. Their platform makes it easy for banks, merchants, and other businesses to track carbon emissions by integrating directly into their systems. Organizations can accurately calculate their carbon footprints and take meaningful action by connecting with verified carbon offset projects worldwide - making it simple to buy and sell carbon credits in a transparent way

Challenge

The Client’s original platform was built using Clojure, a functional programming language known for its flexibility but with limited mainstream adoption. Over time, the internal team encountered several challenges:

  • Complex system logic: Understanding the system's logic was difficult, especially for new team members, due to the Clojure’s complexity and the legacy codebase.
  • The limited talent pool made it challenging to scale the development team or onboard new developers efficiently.
  • High maintenance costs resulted from the need for specialized expertise and the time-consuming nature of working with the old system.

These issues slowed down development, hindered innovation, and made it clear that a more modern, scalable solution was needed.

Solutions

To help the client transition to a modern, efficient, and secure infrastructure, SotaTek implemented a fully serverless architecture. The solution was designed to reduce operational complexity, optimize cost, and enhance overall system resilience.

Key components included:

  • Build the Carbon Offset Flow & Infrastructure: Collaborated with the customer to develop the entire system from scratch.
  • Load Testing System: Designed and implemented a robust load testing system for performance analysis.
  • New Monitoring System: Developed a new monitoring system to replace the old one, ensuring better observability and reliability.
  • Infrastructure Fine-Tuning: Optimized the system infrastructure for efficiency and scalability.
  • Static IP & Private API Gateway Integration: Implemented a solution for clients requiring static IPs and integration with private API gateways.
Features
  • Infrastructure as Code: Provision and manage AWS infrastructure using automated IaC tools
  • Monitoring & Logging: Implement robust system monitoring and centralized logging for performance insights
  • CI/CD Pipelines: Set up continuous integration and deployment for faster, more reliable releases
  • Enhanced Security: Identify and address security vulnerabilities across infrastructure and applications
  • Load Testing: Design and execute load tests to ensure system scalability and performance
  • Zendesk Support Integration: Provide ongoing support and issue resolution via Zendesk ticketing
  • Merchant Onboarding Support: Assist in onboarding new merchants efficiently and securely
Results

As a result of the end-to-end automated testing initiative, the client achieved significantly improved test coverage and reliability across critical user flows, including insurance claims processing and policy package management. The implementation of Automated Quality Assurance (AQA) streamlined the testing process, reduced manual effort, and enabled faster detection of issues before production. This led to enhanced platform stability, improved user experience, and increased confidence in each release cycle.

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