LangGraph Just Took Over the LLM Agent Landscape: You Won’t Believe What’s Next with LangGraph Cloud

LangGraph Cloud by ‪@LangChain‬ A Game-Changer for LLM Agentic Applications.
In this video, I introduce LangGraph Cloud by ‪@LangChain‬ currently in its Alpha version. This new managed service allows you to deploy your compiled LangGraph and get back a microservice for easy interaction, shifting the heavy lifting of deployment, CI/CD, and scalability to LangChain.
Key Highlights:
• Streamlined Deployment: Deploy your LangGraph and receive a
microservice, removing the need to manage deployment and
scalability.
• Persistent Storage: Automatic state checkpointing to persistent
storage, saving you the hassle of managing databases.
• Integrated with LangSmith: Full suite for production graph
deployment, including tracing and monitoring.
• Simplified API Development: Pre-built endpoints and customizable
options for seamless API integration.
LangGraph Cloud handles everything, from API web server development to persistent storage management, making it an ideal solution for developers, especially those from a data science background who are not accustomed to deploying applications to production.

[@chikosan99]

Thanks(: great as always

[@Samartha-27]

Hello Eden, Langgraph is a wonderful tool to create workflows. I was trying to work with payment workflows and came across several challenges. I was working on the the verification example and it seemed like it could not handle failure and exit strategy very well. Could you shed some light on it in your upcoming videos.
Would love to see an example workflow for making payments for services based on customer needs.

[@ezeokekeemeka4379]

hello Eden, pls can you make a tutorial for us on how to use Langgraph Cloud from beginning to end, for example, create a simple AI LangGraph agent and deploy it on LangGraph Cloud or you can just put it in your new course. I have already subscribed.