Log compression for edge devices to Redis storage

• Automate log compression from edge devices to reduce storage requirements
• Enhance data retrieval speeds for large volumes of log data
• Utilize AI embeddings for efficient log management and querying
• Integrate log data with Google Sheets for reporting and analysis

Webhook receives log data from edge devices Splitter divides logs into smaller chunks for processing Embeddings are generated using AI for efficient storage Compressed logs are inserted into Redis for quick access Queries are performed on the Redis store to retrieve relevant log data Results are sent to Google Sheets for further analysis

1. 1
   Import the Edge Device Log Compressor workflow template
2. 2
   Configure the webhook to receive log data from edge devices
3. 3
   Set up credentials for Cohere and Redis
4. 4
   Specify the Google Sheets document for storing results
5. 5
   Test the workflow to ensure proper data flow and processing