FastAPI is an AsynchronousServerGateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI...
Deploying an application using a microservice architecture has several advantages: easier main system integration, simpler testing, and reusable code components. FastAPI has recently become one of the most popular web frameworks used to develop microservices in Python. FastAPI is much faster thanFlask(a...
eBook €26.98 €29.99 ADD TO CART Building Python Microservices with FastAPI Aug 2022 420 pages 3.9 (9) eBook €25.99 €28.99 ADD TO CART About the author Mohamed Labouardy Mohamed Labouardy is the CTO and co-founder of Crew, and a DevSecOps evangelist. He is the founder of Komi...
Master the concept of microservices API development using the hexagonal architecture in Go. 2 customer reviews. Top rated Web Development products.
Microservices architecture with machine learning and deep learning. To enable the architecture to support product recommendation, presence detection, and hesitance detection, we use both custom and third-party components. The system is built using frameworks and products such as FastAPI, Quarkus, Apache...
Lanarky is apython (3.9+)web framework for developers who want to build microservices using LLMs. Here are some of its key features: LLM-first: Unlike other web frameworks, lanarky is built specifically for LLM developers. It's unopinionated in terms of how you build your microservices and...
It's designed to create reactive microservices aroundMessaging Architecture. It is a modern, high-level framework on top of popular specific Python brokers libraries, based onpydanticandFastAPI,pytestconcepts. ⚠️⚠️⚠️Deprecation notice⚠️⚠️⚠️ ...
Technologies: Python, LangChain, NVIDIA AI Foundation Endpoints, FAISS, Gradio, LangServe, FastAPI Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerat...
Microservices architecture with machine learning and deep learning. To enable the architecture to support product recommendation, presence detection, and hesitance detection, we use both custom and third-party components. The system is built using frameworks and products such as FastAPI, Quark...
Technologies: Python, LangChain, NVIDIA AI Foundation Endpoints, FAISS, Gradio, LangServe, FastAPI Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerat...