primolabs-org
Official@primolabs-org
Standardizes Go-based microservice development on AWS Lambda through hexagonal architecture, structured logging, and OpenTelemetry observability patterns.
Agent Skills by primolabs-org
Showing 5 vetted skills indexed across 1 GitHub repositories.
go-lambda-error-handling
Implement explicit error handling for Go AWS Lambda microservices.
go-lambda-structured-logging
Standardize structured JSON logging for Go AWS Lambda services.
specstar-clean-code
Reduce code complexity and maintainability issues in refactoring and review.
go-lambda-observability-otel
Add OpenTelemetry tracing and metrics to Go AWS Lambda services.
go-aws-lambda-microservice-hexagonal
Build and modify Go AWS Lambda microservices with hexagonal architecture.
Frequently Asked Questions About primolabs-org
FAQPage SchemaWhat specific tasks are enabled by these Go-based serverless patterns?▼
These patterns enable the implementation of hexagonal architecture, standardized JSON logging, and OpenTelemetry tracing within Go-based serverless functions. They facilitate consistent error handling and code refactoring, ensuring that microservices remain maintainable, observable, and decoupled from underlying infrastructure providers.
Which engineering personas benefit from these serverless standards?▼
Backend engineers, cloud architects, and site reliability engineers working with Go on serverless platforms benefit most. These standards are designed for teams managing complex microservice ecosystems who require consistent observability, reduced code complexity, and modular architectural patterns to scale their infrastructure effectively.
What are the primary prerequisites for implementing these microservice patterns?▼
Implementation requires a functional Go development environment and an existing AWS Lambda deployment pipeline. Users must have familiarity with Go's standard library, basic knowledge of hexagonal architectural principles, and an existing OpenTelemetry collector or backend configured to receive distributed tracing data.