Imply Launches Lumi Enterprise, a Bring-Your-Own-Cloud Offering Designed for Observability Data

Why It Matters

By combining the control of self‑hosted infrastructure with the simplicity of a managed service, Lumi Enterprise enables enterprises to scale observability workloads cost‑effectively while meeting strict compliance mandates.

Key Takeaways

• Lumi Enterprise runs fully inside customer AWS, preserving data sovereignty
• Reduces observability storage costs by 60‑80% versus traditional indexing
• Compression lets 1 TB raw data occupy only one‑third of storage
• No IAM access required; Imply manages updates via lightweight client
• Platform teams offload operational overhead while security retains full control

Pulse Analysis

Observability has become a critical pillar for modern enterprises, yet the sheer volume of logs, metrics and traces drives storage costs skyward. Traditional solutions often force organizations to choose between on‑premise control and cloud‑native convenience, creating compliance headaches and operational burdens. Imply’s Lumi Enterprise addresses this dilemma by delivering an Observability Warehouse that lives inside the customer’s own AWS environment, ensuring that data, encryption keys and infrastructure remain under direct corporate governance while still benefiting from a fully managed service model.

The architecture hinges on a lightweight client deployed to the client’s Amazon EKS cluster, which pulls vetted releases from Imply, applies updates locally, and streams health telemetry back to Imply’s management plane. This approach eliminates the need for Imply to hold IAM permissions, preserving strict access controls while providing centralized lifecycle management. Security teams retain full visibility over data movement, platform engineers shed the day‑to‑day maintenance of observability stacks, and business leaders gain a predictable cost structure anchored in Imply’s aggressive compression technology.

From a financial perspective, Lumi Enterprise’s compression can store one terabyte of raw telemetry in roughly one‑third the space, translating into 60‑80% lower storage expenses versus legacy indexing platforms such as Splunk. The cost savings free up budget to retain richer telemetry signals, extend retention windows, and support more sophisticated analytics. As enterprises grapple with growing regulatory scrutiny and the need for real‑time insight, Imply’s BYOC model positions it as a compelling alternative that aligns operational simplicity with stringent data‑sovereignty requirements.