SaintBytеChannel
@saintbyte_channel · Post #5 · 12/22/2024, 01:36 PM
Какое чтиво нашёл: https://github.com/ByteByteGoHq/system-design-101# #web#http#grpc
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Source channel @githubtrending · Post #14693 · May 10
#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai
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djangoproject
@djangoproject · Post #604 · 06/10/2019, 04:45 PM
https://nordicapis.com/when-to-use-what-rest-graphql-webhooks-grpc/ When to Use What: #REST, #GraphQL, #Webhooks, & #gRPC
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@githubtrending · Post #15049 · 08/12/2025, 12:00 PM
#java#distributed_systems#durable_execution#grpc#java#javascript#microservice_orchestration#orchestration_engine#orchestrator#reactjs#spring_boot#workflow_automation#workflow_engine#workflow_management#workflows Conductor is an open-source tool that helps you manage and automate complex workflows involving many microservices and systems. It makes your workflows flexible, reliable, and scalable by handling retries, errors, and monitoring automatically. You can define workflows as code in JSON, use various task types, and manage workflows dynamically without tightly coupling services. It offers an easy-to-use web interface and supports multiple databases like Redis and MySQL. This helps you build, run, and monitor workflows efficiently, saving time and reducing errors in managing distributed applications. It also has SDKs for Java, Python, JavaScript, Go, and C# to integrate easily with your projects. https://github.com/conductor-oss/conductor
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@githubtrending · Post #14904 · 07/03/2025, 12:00 PM
#go#ai_assistant#ai_generated_code#cloud_native#code_generation#custom_templates#developer_tools#development_framework#gin#go_sponge#golang#grpc#grpc_gateway#low_code#microservice#protobuf#restful_api#sponge#web Sponge is a powerful Go development framework that helps you quickly build backend services like RESTful APIs and microservices with minimal coding. It generates modular Go code automatically by parsing SQL, Protobuf, and JSON files, letting you create complete backend projects through a simple web interface without complex commands. Sponge supports custom templates and integrates AI assistants (like ChatGPT) to help write business logic, greatly speeding up development and reducing repetitive work. It also offers full support for testing, API docs, and deployment, making your project more stable, efficient, and easier to maintain. This saves you time and improves code quality. https://github.com/go-dev-frame/sponge