Imply Lumi Major Release Preview: Continuing the Journey Towards Decoupled Observability/SIEM

Imply Lumi is set to introduce a major expansion to its observability warehouse, focusing on decoupled observability/SIEM architectures that separate storage, compute, and access. This includes the introduction of Imply Lumi Log Lake, which allows querying unstructured logs directly in object storage without predefined schemas, eliminating the need for complex data pipelines. The expansion aims to integrate seamlessly with existing platforms like Splunk, Databricks, and Grafana, enabling organizations to access observability data without replacing current tools. New infrastructure management approaches, such as Virtual Tier and Elastic Compute, are designed to optimize cost and efficiency by aligning resources according to workload demands, allowing independent scaling of investigative and real-time workloads. These advancements are part of a broader shift toward more flexible and scalable observability architectures, with further insights to be shared at the upcoming Databricks Data + AI Summit.