Multi-year partnership aims to fuse agentic AI, observability, and automation for intelligent operations at scale.
The News
Dynatrace and ServiceNow have announced a multi-year strategic collaboration to advance autonomous IT operations and deliver intelligent automation for joint enterprise customers. The partnership integrates Dynatrace’s AI-powered observability platform with ServiceNow’s AI platform for business transformation, combining deterministic analytics, agentic intelligence, and workflow automation to drive proactive IT management and continuous optimization.
Under the agreement, each company will also deploy the other’s technology: Dynatrace will implement ServiceNow for Enterprise Service Management (ESM), HR Service Delivery, and Asset Management, while ServiceNow will leverage Dynatrace for observability and digital operations insights. These mutual deployments will inform ongoing product integrations and accelerate delivery of Zero Outage outcomes for enterprise clients.
Together, the two companies aim to create a blueprint for autonomous, self-healing systems that unify observability, AIOps, and workflow intelligence while reducing downtime, streamlining service delivery, and improving digital experience across hybrid, cloud, and AI-native environments.
The Path Toward the Autonomous Enterprise
The collaboration between Dynatrace and ServiceNow is a natural evolution of AIOps toward agentic intelligence where AI not only diagnoses and predicts issues, but also acts autonomously within governed frameworks. Dynatrace’s deterministic AI, capable of precise root-cause analysis, complements ServiceNow’s AI-powered ITSM and ITOM platforms, which can trigger and orchestrate remediation.
According to theCUBE Research’s 2025 findings, 71% of enterprises already deploy AI or AIOps solutions to streamline operations, yet only 36% report consistent automation of remediation actions. The Dynatrace–ServiceNow integration directly addresses this gap, enabling AI agents to transition from reactive troubleshooting to autonomous prevention and continuous optimization.
Closing the Loop Between Observability and Action
Observability and operations management have traditionally existed as parallel disciplines where one identifies, the other resolves. This partnership closes that loop. Dynatrace’s data-rich topology models, powered by deterministic and causal AI, provide the context ServiceNow’s automation agents need to execute actionable workflows.
The result is what theCUBE Research defines as closed-loop intelligence. A system that continuously observes, reasons, and acts without manual intervention. This mirrors broader trends where 88% of organizations now prioritize integrated analytics and automation as a foundation for digital resilience. By fusing real-time observability with governed workflow execution, the partnership enables what both companies describe as “trustworthy autonomous action.”
Mutual Adoption Strengthens Platform Credibility
The decision for each company to deploy the other’s technology is a strategic validation of both platforms’ enterprise maturity. Dynatrace’s use of ServiceNow for internal ESM and HR functions showcases ServiceNow’s scalability for enterprise service delivery, while ServiceNow’s adoption of Dynatrace reinforces the criticality of AI-powered observability in managing large-scale IT ecosystems.
These cross-deployments also align to the industry pattern of vendor co-implementation as proof of interoperability. By sharing operational telemetry and process outcomes, the two platforms can iteratively refine their joint integrations and shorten the time-to-value for customers.
Autonomous IT as a Catalyst for Agentic Transformation
At a broader level, this collaboration proves the transition from automated to agentic IT operations with systems capable of understanding intent, predicting outcomes, and orchestrating self-healing actions. The partnership blends Dynatrace’s analytical precision with ServiceNow’s workflow intelligence, creating a pathway toward “Zero Outage IT”, which is an enterprise environment where downtime is proactively prevented and operational knowledge compounds through continuous learning.
This aligns with Efficiently Connected’s market observation that agentic AI ecosystems are moving from experimentation to production, driving measurable gains in service performance, user satisfaction, and operational cost reduction.
Looking Ahead
The Dynatrace–ServiceNow partnership is a framework for an autonomous enterprise. By embedding observability into the operational core, the collaboration enables organizations to transition from incident-driven management to predictive, self-optimizing systems that can learn and adapt over time.
Over the next 12–24 months, theCUBE Research expects to see increased adoption of cross-platform automation pipelines, where AI agents share data, execute responses, and optimize performance collaboratively across multi-vendor ecosystems. Dynatrace and ServiceNow’s alliance sets an important precedent where autonomy at scale is no longer theoretical but becoming an operational reality.
For enterprise leaders, the future of IT operations lies not in manual oversight, but in intelligent orchestration between analytical and operational AI layers to bridge observability and service management into one continuous, adaptive system.
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