Imply announced Lumi Loglake, a capability for Imply Lumi that enables enterprises to search unstructured logs directly in object storage.
Lumi Loglake enables organizations to search and investigate unstructured logs directly where they are stored—including AWS S3, Delta Lake, and Apache Iceberg—without requiring data catalogs, schema definitions, or rehydration workflows.
“AI is generating more telemetry than organizations can afford to index,” said Eric Tschetter, Chief Architect at Imply. “Lumi Loglake gives teams a new way to retain, search, and investigate that data without the cost and complexity of always-on indexing architecture. By bringing interactive log search directly to open storage, Loglake applies the economics and flexibility to lakehouse architectures to operationalize log data.”
Lumi Loglake separates compute from object storage, allowing organizations to scale telemetry retention independently from infrastructure costs. Compute resources provision dynamically based on query activity, eliminating the need for always-on indexing infrastructure while keeping historical telemetry instantly accessible.
Teams can retain significantly more data in object storage, search it immediately, and apply indexing only where it delivers value.
Organizations using Lumi Loglake can reduce software costs by 70% or more and hardware costs by 40% or more by moving data off always-on indexed storage and into low-cost open storage environments such as Amazon S3.
For Splunk customers, that represents a practical migration path. Rather than keeping large volumes of data inside Splunk's indexing tier, organizations can retain historical telemetry in S3 while continuing to query it using SPL and receive native Splunk events. Analysts keep the experience they know while organizations gain the flexibility and economics of open storage.
Teams can query the same datasets across multiple platforms without duplicating storage, including Splunk using SPL, Databricks using Spark SQL, Grafana using LogQL, and AI and BI platforms using ANSI SQL/JDBC.
Loglake makes data stored in object storage operationally accessible for observability and SIEM investigations without requiring teams to build and maintain additional indexing infrastructure.
Lumi Loglake is available immediately.
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