Requirements for uploading log files to Loom:

  1. Have Loom ingest textual, machine-generated data of at least 2-4 source-types. Note that it is very important to keep the different source types in separate files, so Loom's auto-extraction and structure recognition algorithms work for each format separately.
  2. Data is to be captured continuously for a period of no less than two weeks.
  3. It is recommended that the data weighs at least 100GB, but no more than 1TB.
  4. Data should be such that it is currently being used for performing root-cause analysis in your teams, i.e. that problems are solved today by analyzing this data.
  5. The chosen data sources should be ones that are "painful", i.e. sources which often experience issues, and which convey business impact when unhealthy.
  6. Make sure the logs are timestamped. in a real time streaming scenario Loom can handle log lines as they arrive, but when working with a dump file, timestamps should appear on each line for best results.

Ways to send, stream or upload files to Loom

  1. Upload your files to your S3 account - Best practice is to upload your files to an AWS S3 bucket and configure Loom to read from your S3 bucket.
  2. Share the files over Secured FTP - Send a request for setting up an FTP connection to this address, and you will be granted with specific credentials and a guide for uploading files using SFTP.
  3. Share your files using any of the common cloud utilities (such as Google Drive, Dropbox, Box, Microsoft's OneDrive) and provide us with credentials to read-only. Contact us at
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