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Imply Launches Lumi Enterprise

Imply announced Lumi Enterprise, a new Bring-Your-Own-Cloud (BYOC) offering of Imply Lumi, an Observability Warehouse.

Purpose-built as a data layer for observability, Lumi Enterprise enables organizations to significantly reduce observability costs while improving query performance, without disrupting existing workflows or compromising data sovereignty requirements.

The enterprise edition introduces a Bring-Your-Own-Cloud (BYOC) architecture that runs Imply Lumi entirely inside an organization’s AWS environment. Data, encryption keys and infrastructure remain under the organization’s control, eliminating the traditional tradeoff between data sovereignty and operational simplicity.

“Enterprises need to keep sensitive operational data inside their own environments for governance and compliance,” said Eric Tschetter, Chief Architect at Imply. “But self-managed observability systems often create operational overhead, forcing teams to track releases, test updates, and patch security issues just to stay current.”

Lumi Enterprise was built to address these challenges, giving organizations full control of their data while eliminating the operational burden traditionally associated with running observability infrastructure.

Lumi Enterprise introduces a fully managed model that runs entirely within the customer’s AWS account, combining the control of self-hosted systems with the simplicity of a managed service.

Imply does not require direct IAM access to customer’s environments. Organizations retain full control of their infrastructure, security policies, and data access.

The architecture includes a lightweight Client deployed within the customer’s AWS environment and Amazon EKS cluster that:

  • Retrieves approved releases from Imply
  • Applies updates within the customer’s environment
  • Sends health and performance telemetry to Imply’s management plane

This model enables centralized monitoring and lifecycle management while preserving full visibility for governance, auditing, and compliance.

Lumi Enterprise is designed to align the needs of security, platform, and business stakeholders:

  • Security teams maintain full control over sensitive data and compliance boundaries
  • Platform teams eliminate the operational burden of managing observability infrastructure
  • Business leaders benefit from a more efficient observability model.

Imply Lumi’s compression technology enables organizations to store 1TB of raw data while using only one-third the storage capacity.

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Imply Launches Lumi Enterprise

Imply announced Lumi Enterprise, a new Bring-Your-Own-Cloud (BYOC) offering of Imply Lumi, an Observability Warehouse.

Purpose-built as a data layer for observability, Lumi Enterprise enables organizations to significantly reduce observability costs while improving query performance, without disrupting existing workflows or compromising data sovereignty requirements.

The enterprise edition introduces a Bring-Your-Own-Cloud (BYOC) architecture that runs Imply Lumi entirely inside an organization’s AWS environment. Data, encryption keys and infrastructure remain under the organization’s control, eliminating the traditional tradeoff between data sovereignty and operational simplicity.

“Enterprises need to keep sensitive operational data inside their own environments for governance and compliance,” said Eric Tschetter, Chief Architect at Imply. “But self-managed observability systems often create operational overhead, forcing teams to track releases, test updates, and patch security issues just to stay current.”

Lumi Enterprise was built to address these challenges, giving organizations full control of their data while eliminating the operational burden traditionally associated with running observability infrastructure.

Lumi Enterprise introduces a fully managed model that runs entirely within the customer’s AWS account, combining the control of self-hosted systems with the simplicity of a managed service.

Imply does not require direct IAM access to customer’s environments. Organizations retain full control of their infrastructure, security policies, and data access.

The architecture includes a lightweight Client deployed within the customer’s AWS environment and Amazon EKS cluster that:

  • Retrieves approved releases from Imply
  • Applies updates within the customer’s environment
  • Sends health and performance telemetry to Imply’s management plane

This model enables centralized monitoring and lifecycle management while preserving full visibility for governance, auditing, and compliance.

Lumi Enterprise is designed to align the needs of security, platform, and business stakeholders:

  • Security teams maintain full control over sensitive data and compliance boundaries
  • Platform teams eliminate the operational burden of managing observability infrastructure
  • Business leaders benefit from a more efficient observability model.

Imply Lumi’s compression technology enables organizations to store 1TB of raw data while using only one-third the storage capacity.

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In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...