siddhantprateek/qdrant
Inside the repository, you can find the DevOps task that was given to evaluate my skillset.
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.
Stars
7
Forks
3
Language
Go
License
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Category
Last pushed
Feb 23, 2024
Commits (30d)
0
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