siddhantprateek/qdrant

Inside the repository, you can find the DevOps task that was given to evaluate my skillset.

26
/ 100
Experimental

This project helps DevOps engineers deploy and manage a highly scalable Qdrant vector database on AWS. It takes infrastructure-as-code definitions and configuration settings as input, and outputs a robust, monitored, and self-healing vector database environment. This is designed for DevOps engineers or SREs responsible for deploying and maintaining AI/ML infrastructure.

No commits in the last 6 months.

Use this if you need to quickly set up a production-ready, scalable Qdrant vector database with automated backups, recovery, and comprehensive monitoring on AWS.

Not ideal if you are a developer looking for a Qdrant client library or a data scientist who simply needs to use a pre-existing vector database without managing its infrastructure.

DevOps Cloud Infrastructure Vector Database Management Site Reliability Engineering AWS Deployment
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 14 / 25

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Stars

7

Forks

3

Language

Go

License

Last pushed

Feb 23, 2024

Commits (30d)

0

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