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Why I used GoFr for Golang Backend?

Deployed

Accelerating Microservice Development with GoFr Framework

Introduction

GoFr, an opinionated Go framework, promises to accelerate microservice development with its battle-tested code and built-in observability tools. In this article, we'll explore how GoFr simplifies the process of building production-ready applications.

Key Features of GoFr

  1. REST API Principles: GoFr ensures adherence to REST principles, streamlining API design.
  2. Logging: Built-in logging features enable easy monitoring of incoming requests.
  3. Metrics and Tracing: Effortlessly integrate metrics and tracing for performance monitoring and request tracing.
  4. CORS Configuration: Easily configure Cross-Origin Resource Sharing (CORS) policies.
  5. Dynamic Log Level: Change log levels on-the-fly without restarting the application.
  6. Kubernetes Compatibility: Out-of-the-box support for Kubernetes deployments with health check and heartbeat endpoints.
  7. Database Integration: Native support for popular databases, simplifying connection management.
  8. IoT Integration: Seamless IoT integration with native MQTT support and default connection to HiveMQ.

Why Choose GoFr?

GoFr stands out from other popular Go frameworks like Gin, Echo, Beego, and Fiber by providing a comprehensive set of features that boost productivity and simplify application monitoring. With minimal code, you can register routes and have a production-ready application up and running.

Key Performance Indicators (KPIs)

  1. Development Time: GoFr significantly reduces development time with its structured framework and built-in features. Developers can focus on core business logic, leading to faster time-to-market.

  2. Application Availability: GoFr's built-in health check and heartbeat endpoints ensure high availability and compatibility with Kubernetes deployments. The framework's robustness and reliability contribute to improved application uptime.

  3. Performance Monitoring: With native support for metrics and tracing, GoFr enables developers to easily monitor application performance. Key metrics such as request response time, latency distribution, and request count can be visualized using GoFr's Grafana dashboard, facilitating proactive performance optimization.

  4. Error Handling: GoFr provides a standardized error format, simplifying error handling and debugging. By simply returning errors, GoFr automatically formats them, improving error visibility and facilitating faster issue resolution.

Visualising Metrics

In every GoFr application metrics are exported on port 2121at /metrics endpoint, which can be visualized on grafana using GoFr’s Grafana Dashboard.

Dashboard with simulated production system.

System Information with no of Go-routines and memory utilization of application. Request Response time along with Latency Distribution Graph. Request Count over time and different status codes returned.

Conclusion

GoFr framework offers a compelling solution for accelerated microservice development in Go. Its battle-tested code, built-in observability tools, and compatibility with Kubernetes make it an attractive choice for developers seeking to build production-ready applications quickly. By leveraging GoFr's features and focusing on core business logic, developers can achieve improved productivity, enhanced application availability, and effective performance monitoring.