Distributing Jina across multiple machines using JinaD

JinaD is a daemon for deploying and managing Jina Flows / Pods / Peas on a distributed system via a RESTful interface. It ships with fluentd to collect & stream logs from a Flow.

JinaD design


PyPi package

Note: JinaD is a part of the Jina and follows the same installation instructions and you only need to pick [daemon]

On Linux/Mac, simply run:

pip install "jina[daemon]"

Master branch

If you want to keep track of the master branch of our development repository:

pip install "git+https://github.com/jina-ai/jina.git#egg=jina[daemon]"

Local fork/clone

If you are a developer and want to test your changes on-the-fly:

git clone https://github.com/jina-ai/jina
cd jina && pip install -e ".[daemon]"


Docker Image (Recommended)

We start a Docker container under the host mode so that it will connect all the ports to the host machine. -d option is to keep the container running in the background

docker run -d --network host jinaai/jina:latest-daemon

Native Python

Note: Using Native Python doesn’t ship fluentd, hence log streaming is not possible.



  • Start JinaD on a remote machine (say

  • JinaD listens on port 8000 by default.

  • To change the port number, run jinad --port-expose <your-port>

  • Make sure<your-port> is publicly accessible.

  •<your-port>/ should return {} if JinaD is accessible.