This integration is available for Portkey Enterprise users.

When deploying your AI app to production, having a robust, scalable, and high-performance logging solution is crucial. That’s where Portkey and MongoDB combine — Portkey’s Enterprise version easily lets you store all your LLM logs on the most popular database services of your choice. This is made even easier with our ready-to-use Kubernetes Configs (Helm charts).

Portkey is part of MongoDB partner ecosystem to help you build & deploy your AI apps with confidence. Learn more

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Getting Started with MongoDB Log Storage

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Prerequisites

  • Portkey Enterprise account
  • Access to a MongoDB instance
  • Kubernetes cluster

Link to Helm Charts Repo

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Configuration

To use MongoDB for Log storage, you’ll need to provide the following values in your values.yaml file for the Helm chart deployment:

MONGO_DB_CONNECTION_URL:
MONGO_DATABASE:
MONGO_COLLECTION_NAME:
MONGO_GENERATION_HOOKS_COLLECTION_NAME:

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Authentication with PEM File

If you’re using a PEM file for authentication, follow these additional steps:

1

Add PEM File Details

In the resources-config.yaml file, supply PEM file details under the data section:

data:
  document_db.pem: |
    -----BEGIN CERTIFICATE-----
    Your certificate content here
    -----END CERTIFICATE-----
2

Modify value.yaml

In values.yaml, add the following configuration:

volumes:
- name: shared-folder
  configMap:
    name: resource-config
volumeMounts:
- name: shared-folder
  mountPath: /etc/shared/<shared_pem>
  subPath: <shared_pem>
3

Use the PEM File

Update your MONGO_DB_CONNECTION_URL to use the PEM file:

mongodb://<user>:<password>@<host>?tls=true&tlsCAFile=/etc/shared/document_db.pem&retryWrites=false

Find more details in this repo.

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Cloud Deployment

Portkey with MongoDB integration can be deployed to all major cloud providers. For cloud-specific documentation, please refer to:

Get started with Portkey Enterprise here.

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