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Dash0 Acquires Lumigo

Dash0 has acquired Lumigo. 

The acquisition accelerates Dash0’s ability to support modern, event-driven architectures by adding deep expertise in AWS Lambda and managed cloud services, LLM observability, and AI-driven operations, along with an experienced observability team based in Tel Aviv.

Dash0 was built on the premise that observability should be unified through OpenTelemetry, accelerated by AI agents, and priced with full transparency and control. Acquisition and seamless integration of Lumigo extends that vision across serverless and AWS-native environments, helping engineering teams move from alert to resolution in minutes, not hours.

Lumigo brings proven technology for instrumenting AWS Lambda and managed AWS services to Dash0, streamlining onboarding for complex cloud environments, and adding AI-powered capabilities designed to reduce operational toil. Its customer base includes fast-growing startups and global enterprises, including Fortune 500 companies. The Lumigo team will join Dash0 and continue operating from Tel Aviv, expanding Dash0’s global footprint and pace of innovation.

Together, Dash0 and Lumigo will support nearly 600 customers worldwide, delivering a unified, Agentic observability platform that spans Kubernetes, serverless workloads, managed cloud services, and LLM-powered applications.

“From the beginning, Lumigo set out to make AWS-native systems easier to understand and operate,” said Erez Berkner, CEO of Lumigo. “Dash0 shares that philosophy and has built a truly agentic observability platform on OpenTelemetry. By joining forces, we can bring our AWS and LLM observability capabilities to a broader audience, accelerate innovation, and deliver even more value to customers operating at scale.”

Lumigo’s technology and team will play a key role in extending Dash0’s agentic observability model across AWS-native environments. Dash0 already provides rich, end-to-end system context through OpenTelemetry, and, combined with Lumigo’s AWS expertise, Dash0’s AI agents can deliver faster root-cause analysis, smarter automation, and more precise recommendations in production.

“Modern systems are increasingly serverless, event-driven, and tightly coupled to managed cloud services,” said Mirko Novakovic, Founder and CEO of Dash0. “Lumigo brings world-class AWS-native observability and a team with deep domain expertise in Lambda, managed services, and AI-driven operations. Combined with Dash0’s OpenTelemetry-first data platform and agentic approach, this acquisition strengthens our ability to help teams understand complex systems faster while maintaining full control over ingest and cost.”

Dash0 will integrate Lumigo’s capabilities into its platform over time, providing customers with a unified observability experience across Kubernetes, serverless, managed cloud services, and LLM-powered applications, all with transparent pricing and complete visibility into usage and costs.

Financial details of the transaction were not disclosed.

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Dash0 Acquires Lumigo

Dash0 has acquired Lumigo. 

The acquisition accelerates Dash0’s ability to support modern, event-driven architectures by adding deep expertise in AWS Lambda and managed cloud services, LLM observability, and AI-driven operations, along with an experienced observability team based in Tel Aviv.

Dash0 was built on the premise that observability should be unified through OpenTelemetry, accelerated by AI agents, and priced with full transparency and control. Acquisition and seamless integration of Lumigo extends that vision across serverless and AWS-native environments, helping engineering teams move from alert to resolution in minutes, not hours.

Lumigo brings proven technology for instrumenting AWS Lambda and managed AWS services to Dash0, streamlining onboarding for complex cloud environments, and adding AI-powered capabilities designed to reduce operational toil. Its customer base includes fast-growing startups and global enterprises, including Fortune 500 companies. The Lumigo team will join Dash0 and continue operating from Tel Aviv, expanding Dash0’s global footprint and pace of innovation.

Together, Dash0 and Lumigo will support nearly 600 customers worldwide, delivering a unified, Agentic observability platform that spans Kubernetes, serverless workloads, managed cloud services, and LLM-powered applications.

“From the beginning, Lumigo set out to make AWS-native systems easier to understand and operate,” said Erez Berkner, CEO of Lumigo. “Dash0 shares that philosophy and has built a truly agentic observability platform on OpenTelemetry. By joining forces, we can bring our AWS and LLM observability capabilities to a broader audience, accelerate innovation, and deliver even more value to customers operating at scale.”

Lumigo’s technology and team will play a key role in extending Dash0’s agentic observability model across AWS-native environments. Dash0 already provides rich, end-to-end system context through OpenTelemetry, and, combined with Lumigo’s AWS expertise, Dash0’s AI agents can deliver faster root-cause analysis, smarter automation, and more precise recommendations in production.

“Modern systems are increasingly serverless, event-driven, and tightly coupled to managed cloud services,” said Mirko Novakovic, Founder and CEO of Dash0. “Lumigo brings world-class AWS-native observability and a team with deep domain expertise in Lambda, managed services, and AI-driven operations. Combined with Dash0’s OpenTelemetry-first data platform and agentic approach, this acquisition strengthens our ability to help teams understand complex systems faster while maintaining full control over ingest and cost.”

Dash0 will integrate Lumigo’s capabilities into its platform over time, providing customers with a unified observability experience across Kubernetes, serverless, managed cloud services, and LLM-powered applications, all with transparent pricing and complete visibility into usage and costs.

Financial details of the transaction were not disclosed.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

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