Dynatrace, Inc.

Dynatrace, Inc. combines broad and deep observability, continuous runtime application security, and advanced agentic AI operations to deliver answers and intelligent automation across IT operations, development, security, business, and executive teams. This unified approach enables organizations to optimize their rapidly evolving AI, cloud, and IT operations, accelerate secure software delivery, and improve digital performance. The Dynatrace platform is built to scale, partnering and integrating seamlessly into hybrid, multicloud ecosystems, including major hyperscalers such as Amazon Web Services ("AWS"), Microsoft Azure ("Azure"), and Google Cloud Platform ("GCP"), as well as traditional on-premises and mainframe solutions. Its customers include many of the world's largest enterprises which deploy the Dynatrace platform to support increasingly complex IT environments. As workloads scale and cybersecurity threats evolve, cloud modernization and rapid AI adoption have significantly increased data volume and complexity, rendering traditional monitoring and observability approaches insufficient for many organizations. Dynatrace offers a fully integrated platform that brings together differentiated data, context, and intelligence layers. The Dynatrace platform's architecture is built for the scale and complexity of modern cloud and AI-driven observability and operations. The Dynatrace platform is different from other offerings through three connected capabilities. Dynatrace has a unified data foundation, storing and consolidating all observability, security, and business data types, including logs, traces, metrics, real user data, events, sessions, and other telemetry, in an integrated, highly performant and massively scalable data lakehouse called Grail, without the need for upfront indexing, schema design, or data movement. Through Grail's single authoritative data layer, AI works from a comprehensive set of continuously updated information. The Dynatrace platform also provides near real-time causal context.