Dynatrace Managed is a self-hosted deployment option of Dynatrace, offering comprehensive monitoring capabilities within a customer’s own data center.
The core components of Dynatrace Managed include:
- Dynatrace Server (Cluster): This is the central processing and analysis engine of Dynatrace. It stores and processes all monitoring data (metrics, logs, events, traces), provides the web user interface for dashboards, Smartscape, PurePath, and delivers insights through the Davis AI Engine. In a Managed deployment, this server runs within the customer’s infrastructure.
- Dynatrace OneAgent: This is a lightweight agent deployed on the hosts, virtual machines, or containers within the monitored environment. OneAgent automatically discovers and instruments applications and infrastructure, collecting a wide range of monitoring data including metrics, logs, traces, and topology information.
- Dynatrace ActiveGate: ActiveGates act as communication proxies, facilitating data flow between OneAgents and the Dynatrace Server. In Dynatrace Managed, both Environment ActiveGates (for consolidating and compressing OneAgent traffic, cloud integrations, etc.) and Cluster ActiveGates (for managing communication within the Dynatrace Cluster, especially in multi-node setups) are typically utilized.
- Davis AI Engine: This is Dynatrace’s artificial intelligence engine, integrated within the Dynatrace Server. It automatically detects anomalies, performs root cause analysis, and generates alerts based on real-time analysis of metrics, logs, traces, and events.
- Smartscape Topology Model: This component, also part of the Dynatrace Server, automatically maps and visualizes the dynamic relationships between infrastructure, services, and applications in real-time, providing a comprehensive overview of the monitored environment.
- PurePath Technology: This end-to-end distributed tracing engine, integrated within the Dynatrace Server, follows every transaction across all tiers of an application, capturing timings, call trees, and exceptions.
- AppEngine and Extensions: These components allow for custom observability applications to be built using Dynatrace data and enable integration with third-party systems through plugins for various devices and applications.
Real user monitoring (RUM)
Davis AI Engine
Real user monitoring (RUM)
Synthetic monitoring is a method of testing and monitoring applications by using automated scripts to simulate real user behavior, such as navigating websites or performing specific actions
Instaling guide
https://github.com/Dynatrace/helm-charts/tree/master/dynatrace-oneagent-operator
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