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Dynatrace has entered into an agreement to acquire Bindplane, a modern telemetry pipeline built on open standards that acts as a control plane for data from disparate sources. Together, Dynatrace and Bindplane will extend data collection from the edge through analytics, combining open-standards-based telemetry pipeline capabilities with AI-powered observability to give customers greater access, flexibility, and control of their logs, metrics, and application data.

Cloud-native architectures and AI-driven applications are fundamentally changing the scale and complexity of modern systems. More intelligence is moving to the edge, where ephemeral services, automated pipelines, and AI systems now make real-time decisions based on signals from hundreds of continuously active sensors.

As a result, observability data—logs, metrics, traces, and events—are increasing exponentially in both volume and variety, placing pressure on teams to manage cost, maintain visibility, and extract meaningful insight from increasingly fragmented inputs.

At the same time, expectations for observability have also evolved. It’s no longer enough to understand what happened. Teams need to understand why it happened and trust automated systems to act on that insight.

With thousands—or millions—of distributed collectors producing telemetry non-stop, the challenge isn’t just data volume; it’s coordination. Organizations need a control plane to access and orchestrate telemetry throughout the entire lifecycle, from the edge to analysis.

Today, we’re very happy to announce Dynatrace has entered into an agreement to acquire Bindplane, a modern telemetry pipeline built on open standards that acts as a control plane for data beginning at its source, giving teams greater flexibility and access to how systems collect, process, and route telemetry data before it reaches their observability platforms.

Addressing the challenge of telemetry at scale

As organizations accelerate adoption of cloud- and AI-native technologies, they’re encountering a new set of challenges:

• Rapidly increasing telemetry volumes that drive up cost
• Fragmented data collection across multiple tools and agents
• Limited flexibility in how they can route and store telemetry data
• Manual processes required to normalize and correlate signals

These challenges are not just slowing down operations. They directly impact the ability of teams to implement AI, automate cloud and AI workflows, and deliver reliable digital experiences.

To meet these challenges, Dynatrace and Bindplane will give customers more flexibility, access, and control of telemetry across environments.

Bringing intelligence earlier into the data lifecycle

Bindplane introduces a unified telemetry pipeline that operates at the point where data is collected.

Built on OpenTelemetry, Bindplane enables teams to collect, process, and route observability data in real time before it’s ingested into downstream systems, across any environment, to any destination.

With this capability, organizations can:

• Filter unnecessary data and reduce ingest costs
• Standardize observability signals across diverse environments
• Enrich data with context before analysis
• Flexibly route telemetry across observability, security, and storage platforms

By bringing intelligence earlier into the lifecycle, teams can ensure that the data flowing into their observability platforms is scalable, relevant, and high-quality from the start.

Strengthening the foundation for AI-powered observability

As AI-driven capabilities become more deeply embedded in software delivery and operations, the quality of observability data becomes even more important.

AI systems depend on accurate, contextualized data to generate insights and automate decisions. At the same time, organizations need to be able to explain and validate those decisions to maintain trust and accountability.

This requires a strong data foundation and a unified, context-driven platform approach that integrates high-fidelity log telemetry with metrics, traces, security events, user behavior, and business signals.

By combining the Dynatrace AI-powered observability platform with Bindplane’s telemetry pipeline capabilities, organizations can:

• Improve the quality and consistency of observability data
• Reduce noise and focus on the most relevant signals
• Enable more accurate, explainable AI-driven insights
• Maintain flexibility across multi-tool and multi-cloud environments

Together, this creates a more unified approach to managing telemetry and observability in the age of AI.

What this means for Dynatrace customers

With Bindplane, we are extending Dynatrace upstream into how telemetry is managed before it’s ingested and analyzed. Together, Dynatrace and Bindplane extend data collection from the edge through analytics, combining open-standards-based pipeline capabilities with AI-powered observability. This approach standardizes how inputs are processed across logs, metrics, traces, and events, giving customers the flexibility to route, transform, and analyze data at scale across observability, security, and analytics platforms.

With Bindplane, organizations can:

• Modernize legacy logging and observability practices
• Implement open standards such as OpenTelemetry with greater ease and effect
• Optimize telemetry pipelines for cost, performance, and governance
• Support a broader range of observability, security, and analytics use cases

Bindplane will remain a standalone offering, so existing customers can continue using its capabilities across a wide range of environments and destinations without disruption. Dynatrace intends to accelerate Bindplane’s roadmap through increased investment and deeper integration with the Dynatrace platform, delivering greater flexibility, access, and control of telemetry, resulting in faster innovation and greater value to customers.

Explore Bindplane

Bindplane provides a modern approach to managing telemetry at scale, helping organizations simplify data pipelines and unlock more value from their observability investments.

To learn more about the acquisition, visit the Bindplane blog.

Cautionary Language Concerning Forward-Looking Statements

This blog includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding the anticipated benefits of the proposed acquisition, Dynatrace’s and Bindplane’s respective capabilities, the expected benefits to organizations from using Dynatrace and Bindplane, the expected impact of the proposed acquisition on Dynatrace’s Log Management and Analytics roadmap, and the expected timing for closing the proposed acquisition. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

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The agentic era has arrived, bringing together human insight and autonomous intelligence in entirely new ways.

The pressure is high for enterprises to become “AI-first,” but as we explored in our inaugural Agentic AI Research Report, most organizations are stuck in pilot-mode. Many are struggling to achieve meaningful outcomes, even as they invest ever more heavily on AI.

AI success requires a shift in how we think about operations. We’re moving from a world of manual changes and troubleshooting to one of autonomous systems. Observability tooling needs to adapt to this new reality. It’s not enough to merely provide insights into a system. Organizations need platforms that enable agents to act upon intelligence safely and reliably. That’s why Dynatrace has evolved into an agentic operations platform that enables autonomous, intelligent collaboration across development, operations, and business workflows.

At our flagship event Perform 2026, we’re expanding our platform to deliver the following capabilities that will carry organizations into the human + AI collaboration era.

Dynatrace Intelligence: The new foundation for reliable agentic AI

Organizations struggle with the growing complexity of cloud and AI‑driven digital ecosystems. Leaders have valid concerns about hallucinations, unreliable multi‑step agent workflows, and the inability of off-the-shelf models to process petabytes of heterogeneous observability data.

The solution isn’t to throw more AI at the problem and hope for the best. Simply adding AI agents to legacy workflows doesn’t work. Closing this gap requires an AI system that doesn’t just bolt onto workflows but rethinks how decisions are made and actions are automated.

Dynatrace Intelligence is an agentic operations system at the core of the Dynatrace platform and serves as the reasoning and decision-making layer for all the agentic layers built upon it. It fuses deterministic AI with contextual analytics to ground agentic decisions in real‑time facts and to create more reliable agentic workflows. It also coordinates different kinds of agents while minimizing hallucinations so organizations can trust automated actions.

The new Smartscape®: A source of truth for AI

Modern IT teams often operate with only a partial understanding of what’s running in their environment, especially as cloud‑native architectures, Kubernetes, and adaptive AI agents expand and shift at runtime. You can’t troubleshoot, secure, or optimize what you can’t see. This incomplete picture slows incident response, drives misaligned investments, and increases risk.

The new Smartscape® real-time dependency graph creates a shared, real‑time source of truth that both humans and AI agents use to understand what is actually happening across the environment and to act with confidence. It provides a precise, always‑current view of every entity and dependency in your digital ecosystem, including cloud and Kubernetes objects, domain‑specific metadata, and agentless cloud‑discovered components. The new Smartscape® capability underpins Dynatrace Intelligence, providing the context needed to empower teams and agents to act with confidence, using real‑time topology to detect changes, assess impact, and respond automatically.

From reactive to proactive with agents

Far too many IT teams are forever stuck in firefighting mode. They’re so busy troubleshooting existing systems that they have no time to understand why issues keep recurring or how to prevent them. Signals flood in faster than humans can interpret them, incidents surface without context, and critical decisions must be made with only fragments of the real picture. In this chaos, teams are forced into reactive loops that drain capacity, slow innovation, and make reliable operations nearly impossible.

Dynatrace Intelligence Agents are designed to break this cycle. Whether you use our own ready-made agents or build your own, the Dynatrace Intelligence agentic ecosystem provides the capabilities to continuously detect changes, assess impact, and automatically respond to emerging conditions, helping organizations shift from firefighting to proactive operations.

This is how the Dynatrace platform goes beyond insight, advancing to autonomous action by auto-remediating, auto-preventing and auto-optimizing.

Dynatrace Assist: Your portal into the agentic universe

Modern IT teams aren’t lacking in data or metrics. The problem is that they must jump between different dashboards, tools, and consoles to understand their systems and find the information they need. This slows investigation, increases cognitive load, and leads to delays, misdiagnoses, and inconsistent decisions.

We’re launching Dynatrace Assist to eliminate this constant context switching. Assist brings the full power of Dynatrace Intelligence to your fingertips. Instead of moving between dashboards, queries, and tools, you simply start by asking a question and let Dynatrace Intelligence do the work. Assist pulls together context from the Dynatrace Grail® unified data lakehouse, maps relationships utilizing the Smartscape® real-time dependency graph, and collaborates in context with Dynatrace agents.

As AI becomes a collaborative partner rather than a separate tool, Assist provides the conversational interface that brings agentic intelligence directly into human workflows—reducing cognitive load and enabling natural, real‑time co‑reasoning.

End-to-end intelligence with next generation Dynatrace RUM

Even the smartest agentic systems need to understand how real users experience your applications. Backend signals alone can’t reveal where friction occurs, how users navigate modern single‑page and mobile experiences, or which issues matter most to the business.

The next‑generation Dynatrace Real User Monitoring closes this gap with Grail-powered analytics that unifies frontend behavior with backend intelligence. It automatically captures modern user interaction patterns and couples them with precise, real‑time system insights, enabling teams and agents to detect issues faster, prioritize what truly impacts customers, and optimize digital experiences with confidence.

Dynatrace MCP Server: The connective tissue between agentic systems and Dynatrace Intelligence

Modern AI assistants and automated workflows are being asked to make high stakes decisions without access to the complete, real-time context of the systems they’re meant to support. Fragmented data, disconnected telemetry, and incomplete understanding of how services relate prevent AI from making reliable recommendations or taking safe autonomous actions.

The Dynatrace MCP Server provides the governed bridge between AI ecosystems outside of Dynatrace and the production‑grade insights generated by Dynatrace Intelligence. Using the open Model Context Protocol, it delivers real‑time insights directly into agentic workflows. This gives autonomous agents and other AI tools the observability truth they need to reason accurately, take decisive actions, and operate safely at scale.

Building the future of autonomous operations

Perform 2026 marks a turning point for agentic AI Adoption. We’re shifting from human‑paced management of systems into a world where systems anticipate, adapt, and advance on their own. For the first time, organizations can operate with an intelligence layer that doesn’t wait to be directed but collaborates, reasons, and evolves in real time. Teams will finally be able to focus on the work that moves them forward, rather than the work that holds them back.

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