About Dynatrace
Dynatrace sells an AI-powered observability platform. Dynatrace Intelligence continuously monitors infrastructure and cloud environments. Smartscape automatically identifies and maps interactions and relationships between apps and the underlying infrastructure. Grail is the Dynatrace data lakehouse that powers log ingestion and analytics within Dynatrace Infrastructure Observability. AppEngine is used to create and share custom apps that use insights from observability, security, and business data.[3]
Dynatrace detects, analyzes, and helps remediate vulnerabilities and attacks in real time. Dynatrace detects third-party and code-level vulnerabilities across all cloud application layers. Dynatrace AI automatically reprioritizes risks based on real-time events, service impact, and observability context. Runtime security is embedded directly into application observability.[1][5]
For protection during attacks, Dynatrace monitors the flow of data through the application, from the user to the database, to determine malicious activity. Quality gates automatically validate that no new critical vulnerabilities were deployed. Workflows automate the creation, assignment, and resolution of vulnerability tickets. Dynatrace application security offers built-in mappings to standards like CIS, NIST, and DORA.[5]
Dynatrace also lists threat protection, automated response, and forensics among its platform capabilities.[1]
Dynatrace Infrastructure Observability provides continuous discovery and monitoring across hosts, virtual machines, containers, networks, servers, cloud platforms, and events and logs. Dynatrace Infrastructure Observability includes AutomationEngine, which integrates with existing automation platforms and incident remediation tools to enable auto-remediation workflows. Dynatrace Infrastructure Observability is built for hybrid and multi-cloud architectures. Dynatrace supports hundreds of technologies with or without an agent. KeyBank relies on Dynatrace specifically for Kubernetes visibility across its environments. Dynatrace automatically finds and categorizes thousands of network devices across the customer environment.[8][9]
Dynatrace Digital Experience brings together Real User Monitoring, Synthetic Monitoring, Session Replay, and Mobile App Monitoring. Real User Monitoring captures data from actual user sessions as they happen. Dynatrace Synthetic Monitoring runs scripted tests from a global network of public and private locations. Dynatrace supports private locations deployable on Linux, Windows, or containers. Dynatrace integrates synthetic testing directly into the CI/CD pipeline. Session Replay captures video-like recordings of individual user sessions. Dynatrace Mobile App Monitoring provides end-to-end visibility into native iOS and Android applications.[10][14]
Notebooks let teams query observability, security, and business data, follow each finding to its root cause, and turn what they learned into automated action. Observability, security, and business data are queryable with DQL in one interface. Dynatrace tracks business metrics, KPIs, and SLOs in context with IT infrastructure, services, and databases.[1][6][10][12][13]
Dynatrace on the record