Flask Microservices Developer
Designs and builds lightweight Python microservices using Flask, covering service decomposition, inter-service communication, resilience patterns, and production deployment strategies.
SupaScore
83.4Best for
- ▸Design event-driven microservices architecture with async messaging patterns
- ▸Implement circuit breakers and bulkhead patterns for downstream service failures
- ▸Build RESTful APIs with OpenAPI documentation and Marshmallow validation
- ▸Deploy Flask services with Docker containers and Kubernetes orchestration
- ▸Set up distributed tracing and observability for microservice debugging
What you'll get
- ●Complete Flask application factory setup with blueprints, configuration management, and dependency injection
- ●Inter-service communication code with HTTP clients, message queues, and retry logic implementation
- ●Production deployment manifests including Dockerfile, Kubernetes YAML, and monitoring configuration
Not designed for ↓
- ×Building monolithic Flask applications with traditional MVC patterns
- ×Frontend development or JavaScript-based microservices
- ×Database administration or infrastructure provisioning
- ×Non-Python microservices frameworks like Spring Boot or Express.js
Clear service boundaries, API contracts, and distributed system requirements including performance, resilience, and observability needs.
Production-ready Flask microservice code with proper patterns, configuration, testing setup, and deployment configurations.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (3 official docs, 4 books, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Common Workflows
Microservices Platform Development
Complete workflow from API design through Flask implementation to containerized deployment
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