Microservices

A comprehensive guide for implementing saga patterns in distributed systems. Provides Python templates for orchestration-based and choreography-based sagas, including order fulfillment workflows, compensation handling, and timeout management.

A comprehensive reference guide for designing durable workflows with Temporal. Covers workflow vs activity separation, saga patterns for distributed transactions, state management, determinism constraints, and best practices for building reliable long-running processes and microservice orchestration.

A comprehensive reference skill for designing microservices architectures. It covers service decomposition strategies, synchronous and asynchronous communication patterns, distributed data management with sagas, and resilience patterns like circuit breakers. All content is educational documentation with Python code examples.

This skill provides comprehensive guidance for implementing distributed tracing using Jaeger and Grafana Tempo. It includes code examples for instrumenting applications in Python, Node.js, and Go with OpenTelemetry, along with Kubernetes and Docker deployment configurations for tracing infrastructure.

This skill provides comprehensive backend development guidance covering REST and GraphQL API design principles, microservices architecture patterns, CQRS implementation, event sourcing with projections, saga orchestration for distributed transactions, and Temporal workflow patterns with Python SDK. It includes production-ready templates, testing strategies, and best practices for building scalable distributed systems.