Skip to main content

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.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

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.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...