Imply

JULY 1: Our 30 minute upcoming session covers how teams are using Lumi to do more with Splunk and modern observability stacks, without re-platforming. We’ll also give you a first look at our newest feature, Lumi Loglake, which queries unstructured logs directly where they already live in S3, Delta Lake, Apache Iceberg, and other open storage, bringing a true lakehouse (separated compute and storage) architecture to your observability and SIEM data. We’ll walk through real workflows and answer your questions live. Register here: https://bit.ly/4eXl3zW

June newsletter, out now 👇

🚨 NEW LUMI BLOG, OUT NOW: Teams are increasingly moving log data into AWS S3 to reduce costs and extend retention. Both Lumi Loglake and Splunk Federated Search for S3 help you query data in AWS S3 to lower costs, however the two technologies have several notable differences. https://lnkd.in/g9CNXmua

Lumi Loglake can query unstructured logs directly in AWS S3, Delta Lake, Apache Iceberg, and other open storage environments: - No rigid schemas to define and no need for data catalogs - No data pre-processing or pipelines to build upfront - No need to move or duplicate data Now with Loglake, customers using Lumi can achieve: - 70%+ lower software costs - 40%+ (often much higher) lower infrastructure/hardware costs - Powerful new workflows in their favorite existing tools More info: https://bit.ly/3RCFN6N

Query unstructured logs directly where they already live. Lumi Loglake launches next month at Databricks #DataAISummit. Get a first look here: https://bit.ly/3RCFN6N

We're one week out from our live Imply Lumi Observability Warehouse demo! Join Matthew Morrissey and Peter Marshall for a look at how teams are using Lumi to do more with Splunk and modern observability stacks, without replatforming. https://bit.ly/4uYRRO8