Make deploying Python ML App +Timescale DB easy with Docker and Kubernetes

We have a prototype app that is new and we need to make it super easy to deploy and scale for single tenant app. We're thinking we'll use Kubernetes and Docker but we're really open if there's a better solution. The goal is to be able to spin up a new deployment and have the app up and running in as little time as possible.

The "app" is really multiple apps. A web front-end to serve up some assets, an api (Postgrest), a data base TimescaleDB, some backend ML model processing using Python. It needs to handle streams of IoT data and be easily deployable and secure.

Skills: Python, Docker, Kubernetes

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About the Employer:
( 0 reviews ) Fremont, United States

Project ID: #26536618

6 freelancers are bidding on average $229 for this job


Hello, I am devops engineer who worked with docker for years. Please contact and we can discuss the solution.

$200 USD in 7 days
(12 Reviews)

Hello, I'm interested in your project. I have some questions to ask you. Click on "Chat" to discuses more. Thanks & Regards Mohammod

$250 USD in 1 day
(1 Review)

Hi! The deployment of project into production utilizing kubernetes excites me a lot as I have been working in this domain for quite some time. I have experience of deploying ML models using AWS services as well. Scal More

$250 USD in 7 days
(3 Reviews)

Hello, I have experience in docker, timescaledb and postgrest. I can write docker script for deploying all the mentioned app together as single tenant for faster deployment. Please initiate chat as I have some questio More

$250 USD in 7 days
(2 Reviews)

I am a certified machine learning engineer and have done many such projects on Docker. I can also show you some sample projects too. You can contact me for further details.

$267 USD in 7 days
(1 Review)

I know one thing that I can do it. Relevant Skills and Experience Experience in python, ML, backend developer, Ubuntu env.

$156 USD in 14 days
(0 Reviews)