A time series storage to keep history of blob data.

Reduct Storage aims to solve the problem of storing data in a case where you need to write some data intensively and read it accidentally by some time interval. The storage uses HTTP API and stores the data as blobs. Read more here.

• HTTP API
• Storing and access blobs as time series
• Optimized for little files
• Real-time quota for buckets
• Token authentication

The easiest way to start is to use Docker image:

docker run -p 8383:8383 -v ${PWD}/data:/data ghcr.io/reduct-storage/reduct-storage:main

Get information about the server:

curl http://127.0.0.1:8383/info #-> {"bucket_count":183,"version":"0.1.0"}

Create a bucket with FIFO quota:

 curl -d "{\"quot_type\":\"FIFO\", \"quota_size\":10000}" -X POST -a http://127.0.0.1:8383/b/my_data

Write some data with timestamp 100000:

curl -d "some_data" -X POST -a http://127.0.0.1:8383/b/my_data/entry_1?ts=10000

Read data by timestamp:

curl  http://127.0.0.1:8383/b/my_data/entry_1?ts=10000 #-> "some_data"

See HTTP API