Imply is introducing Lumi Loglake, a capability for Imply Lumi that enables enterprises to search unstructured logs directly in object storage.
According to Imply, 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, the company said.
Teams can retain significantly more data in object storage, search it immediately, and apply indexing only where it delivers value.
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.
As teams rethink how telemetry data is stored, retained, and operationalized at scale, industry analysts see growing demand for more flexible observability architectures.
"Observability and SIEM require analyzing mountains of data without prohibitive cost or complexity,” said Kevin Petrie, vice president of research at BARC. “Lumi reduces this tradeoff by searching logs in object storage without the overhead of indexing, cataloging, or schemas. Collecting all these logs in a cloud lakehouse also creates opportunities beyond observability, because telemetry data can enrich other analytics and AI initiatives."
Loglake addresses that challenge by making data stored in object storage operationally accessible for observability and SIEM investigations without requiring teams to build and maintain additional indexing infrastructure, said Imply.
Lumi Loglake is available now.
For more information about this news, visit https://imply.io.