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RESULTS - YEARS OF SUCCESS
IoT Project – Backend Performance Improvements
Objective: The goal of this project was to enhance the performance of an IoT system’s backend application developed in Go (Golang). Upon review, several inefficiencies were identified in the existing codebase. A new architecture was proposed that focused on minimizing code changes while maximizing performance gains. The recommended improvements were successfully implemented, resulting in measurable performance enhancements. Solution: The performance improvements were achieved by leveraging Go's concurrency model, specifically through the use of goroutines and channels. This approach enabled more efficient parallel processing and resource utilization within the system.
DevSecOps Project – AWS Resource Configuration Monitoring
Objective: Managing and tracking AWS resource configurations across multiple accounts is a complex and time-consuming task. Identifying unauthorized or unintended changes is critical to maintaining a secure cloud environment. This project aimed to automate the detection of configuration changes and notify security personnel in real time.
Solution:
A custom Go (Golang) application was developed using the AWS SDK for Go v2. The tool runs multiple times a day to monitor AWS resource configurations for any changes. Given the client's environment included thousands of AWS accounts, the solution was designed to be highly concurrent, leveraging a goroutine pool for efficient parallel processing. Upon detecting any configuration change, the system generates alerts for the security team to investigate.
Cryptocurrency Exchange Logging System
Objective:
The existing system made it difficult to debug failed transactions across multiple deployed cryptocurrency exchanges. To improve troubleshooting capabilities for developers and support personnel, it became necessary to log specific transaction-related information.
Solution:
The proposed solution leveraged RabbitMQ to decouple logging from the main transaction flow. Two separate queues were created—one for invoices and one for notifications. The exchange proxy (also referred to as the merchant flow proxy) was updated to send relevant invoice and notification data to these RabbitMQ queues.
A scalable Go microservice was developed to consume messages from RabbitMQ and write structured logs into a PostgreSQL database. This microservice can be replicated horizontally to support increased load.
Additionally, one instance of the Go microservice is configured as a web server, exposing endpoints that allow the retrieval of logged data. This data is then consumed by a Vue.js-based user interface, providing support and development teams with access to detailed, non-sensitive transaction logs for analysis and debugging.
Virtual Reality Shopping Experience – System Rewrite and Modernization
Objective:
The original implementation of the Virtual Reality (VR) shopping experience was built using a monolithic SCALA application. This architecture introduced several critical issues, most notably that a failure in any single component would result in a complete system outage. This made the platform unreliable and fragile. Additionally, the application was plagued by inefficiencies and frequent bugs, making development and maintenance increasingly difficult. These limitations significantly hindered the platform’s ability to deliver a smooth, immersive, and scalable VR experience.
Solution:
To resolve the limitations of the monolithic SCALA system, the platform was rewritten using Go microservices. The new architecture separated core functionalities—such as user management, product catalog, and checkout—into independent, scalable services. Communication between services was handled via GraphQL for efficient frontend queries and REST APIs for backend interactions.
This redesign improved system reliability by isolating failures to individual services, significantly reducing downtime. Performance also increased thanks to Go’s efficiency and concurrency model, resulting in faster response times and a smoother VR experience. Enhanced logging and monitoring made the system easier to maintain and troubleshoot.
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Our Solutions: Engaging Top-tier Golang Talent & Leadership
Fractional or Full-Time Golang-Focused CTO
Gain strategic technical leadership without the overhead of a permanent hire. Our Golang-oriented CTOs bring deep architectural insight, leadership experience, and a strong focus on performance, scalability, and product alignment—ideal for early-stage startups, scale-ups, or teams transitioning to Go.
Fractional or Full-Time Golang Solution Architect
Accelerate delivery and ensure robust system design with experienced solution architects who specialize in Go. From defining microservices architectures to improving system resilience and observability, our architects help align your technology with business outcomes.
Fractional or Full-Time Golang Developer
Access highly-skilled Go developers on-demand—whether you need to augment your team or build a dedicated Golang squad. Our developers are vetted for both technical expertise and collaborative mindset, ensuring smooth integration into your workflows.
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