# Dynatrace

> Observability platform that monitors applications, infrastructure, logs and security and analyses the data with AI.

Dynatrace is an observability platform for monitoring applications, infrastructure, logs, user experience and security. Dynatrace collects telemetry into its Grail data lakehouse and uses AI agents to detect anomalies, predict problems and identify root causes. Customers pay by usage against a single annual commitment, and a 15-day free trial is available.

**Best for:** Enterprise SRE, platform and security teams that run large cloud or Kubernetes estates and want monitoring, logs and security analytics on one platform.

- Official site: https://www.dynatrace.com
- Listed in: [DevOps & Monitoring](https://trendhub.net/ai-tools/category/devops-monitoring)
- Last checked: 2026-10-09 (facts taken from dynatrace.com)
- Source page: https://trendhub.net/ai-tools/dynatrace-ai-observability-monitoring-platform

## Key facts

- Platforms: API, MCP
- Pricing model: Subscription
- Free trial: Yes
- API: Yes
- Made by: Dynatrace

## What is Dynatrace?

Dynatrace is an observability platform that monitors applications, infrastructure, logs, user experience and security in one place and applies AI to the data it collects. Telemetry is stored and analysed in context in Grail, the company's data lakehouse, and a layer called Dynatrace Intelligence uses foundational agents for prediction, anomaly detection and causal root-cause analysis. Product areas include application performance monitoring with distributed tracing, infrastructure monitoring across multi-cloud environments, log analytics, real-user and synthetic monitoring with session replay, runtime vulnerability detection, and observability for generative AI applications, LLMs and agents. Agentic features can run autonomous investigations, and custom agents or outside tools connect through a remote MCP server, a CLI or an API. Pricing is consumption based: a customer makes one annual commitment for the platform and usage is deducted from it at published rates. A 15-day free trial is offered.

## Key features

- **Application Observability**: Covers APM, distributed tracing and code-level profiling for cloud-native and enterprise stacks.
- **Infrastructure Observability**: Tracks hosts, processes, networks and Kubernetes clusters across data centers and multiple clouds.
- **Log Analytics**: Ingests logs, enriches them with topology and queries them with DQL, with retention adjustable from a day to ten years.
- **Digital Experience Monitoring**: Combines real-user monitoring, session replay and synthetic browser or HTTP checks.
- **Application Security**: Finds first-party and third-party vulnerabilities at runtime and can block exploitation attempts.
- **Dynatrace Intelligence**: Applies agents for forecasting, anomaly detection and root-cause analysis, and supports custom agents for investigation and remediation.

## Use cases

- **Finding Root Causes**: Trace a failing transaction across microservices to the component responsible.
- **Kubernetes Operations**: Watch cluster, node and workload health alongside the applications running on them.
- **Reproducing User Issues**: Replay a real user's session to see what went wrong in production.
- **Runtime Vulnerability Management**: Prioritise exposed libraries and code flaws by risk and impact.
- **Monitoring AI Applications**: Observe generative AI services, LLM calls and agents in the same platform as the rest of the stack.

## Things to know

- **Annual commitment model**: Customers commit once a year at platform level, and every capability used is deducted from that commitment at rate-card prices.
- **Agentic tasks are metered**: Autonomous investigations and other Agentic Operations consume AI units, and the page gives average unit counts per task type.
- **Promotional inclusion may end**: Agentic tasks run inside Dynatrace Assist are not billed for a limited period, which the company says it may change or withdraw on notice.
- **Arize acquisition**: The home page announces that Dynatrace has completed its acquisition of Arize to extend its AI observability offering.

## FAQs

### What is Dynatrace?

Dynatrace is an observability platform that unifies monitoring of applications, infrastructure, logs, digital experience and security and uses AI to analyse the data.

### What is Dynatrace used for?

Dynatrace is used to detect and diagnose performance problems, monitor cloud and Kubernetes environments, analyse logs, track user experience and find runtime vulnerabilities.

### How much does Dynatrace cost?

Other capabilities are billed by usage against an annual commitment.

### Does Dynatrace have a free trial?

Yes. Dynatrace offers a 15-day free trial of the platform.

### Does Dynatrace have an API?

Yes. Dynatrace accepts custom events through an API and gives agents access to its AI functions through a remote MCP server, a CLI or an API.

### What is Grail in Dynatrace?

Grail is the Dynatrace data lakehouse, where telemetry is unified and analysed in context.

### Are Dynatrace AI features charged separately?

Partly. Dynatrace includes AI Exploration, such as telemetry queries and anomaly detection, with no extra charge, while Agentic Operations are metered in AI units.

### Does Dynatrace support OpenTelemetry?

Yes. Dynatrace ingests OpenTelemetry metrics and traces, including through OTLP.

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Source: https://trendhub.net/ai-tools/dynatrace-ai-observability-monitoring-platform (trendhub)