aws-samples/deploy-langfuse-on-ecs-with-fargate
Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python
This helps engineering teams deploying large language model (LLM) applications to set up a dedicated platform for debugging, analyzing, and improving their models. It takes your existing LLM application code and provides a robust, scalable backend for tracking its performance and user interactions. This solution is for backend developers and MLOps engineers who need to self-host their LLM engineering tools on AWS.
No commits in the last 6 months.
Use this if you are a developer or MLOps engineer needing to deploy Langfuse on your own AWS infrastructure to collaboratively debug and analyze your LLM applications securely.
Not ideal if you are a data scientist or researcher only experimenting with LLMs and don't require self-hosting or detailed production monitoring.
Stars
75
Forks
19
Language
Python
License
MIT-0
Category
Last pushed
Jun 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/aws-samples/deploy-langfuse-on-ecs-with-fargate"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
cdklabs/cdk-appmod-catalog-blueprints
Library of composable well-architected CDK solution blueprints for real-world use cases — AI...
mazzasaverio/terraform-gcp-cloud-run
Terraform code to instantiate a Cloud Run V2 connected to a Postgres Cloud SQL, on which the...
kogunlowo123/terraform-aws-bedrock-platform
AWS Bedrock Terraform module with knowledge bases, agents, guardrails, and OpenSearch Serverless