Ansible Automation Platform
The enterprise-grade standard for hybrid-cloud orchestration and AI-assisted automation.
The causal AI platform for unified observability, security, and cloud automation.
Dynatrace is a market-leading observability platform that transcends traditional monitoring through its Davis causal AI engine and Grail data lakehouse architecture. By 2026, Dynatrace has solidified its position by integrating predictive and generative AI to automate cloud operations at scale. Its technical architecture centers on the OneAgent, which automatically discovers and instruments entire technology stacks without manual configuration. Data is processed via PurePath, providing end-to-end distributed tracing across microservices. Unlike competitors relying solely on machine learning correlation, Dynatrace uses causal AI to pinpoint the precise root cause of performance anomalies, significantly reducing Mean Time To Repair (MTTR). The platform is engineered for hyperscale environments, supporting complex multi-cloud and hybrid architectures. With the 2026 focus on 'Site Reliability Guardian' and 'AppEngine,' Dynatrace allows enterprises to build custom apps and automated workflows directly on top of their observability data. This shift from a monitoring tool to a full-stack automation platform makes it the backbone for Global 2000 companies aiming for autonomous cloud operations.
A dependency-aware AI engine that analyzes billions of events in real-time to identify the precise root cause of problems.
The enterprise-grade standard for hybrid-cloud orchestration and AI-assisted automation.
The Industry-Leading Enterprise Digital Employee for High-Value Task Autonomy
AI-Driven Hyper-Automation for Modern Endpoint Management and Security
The causal-AI-powered data lakehouse for hyper-scale observability and security analytics.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A massively parallel processing (MPP) analytics engine that stores and queries logs, metrics, and traces without schema-on-write.
A single binary that automatically instruments all components of the application stack, including containers and microservices.
Distributed tracing that automatically captures every transaction across the entire hybrid cloud.
A low-code development environment within the platform for building custom observability and business apps.
Provides real-time security analysis of applications in production to find and prioritize vulnerabilities.
Automated quality gates that evaluate service health against SLOs during deployment cycles.
Ensuring performance parity when moving workloads from on-premise to AWS/Azure.
Registry Updated:2/7/2026
High MTTR due to manual war-room diagnostic sessions.
Over-provisioning of cloud resources leading to wasted spend.