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Agentic Risk and Impact AnalysisAgentic Risk and Impact Analysis
Agentic Risk and Impact Analysis

Agentic Risk and Impact Analysis

Simulate first, act early.

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Ninety days of history projected forward, with bounds and an action per horizon.A weekly schedule turns a disk forecast into a capacity runway by mail.
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Overview

Simulate first, act early. See what might happen next, not just what already happened.

Start from a conversation and the agent becomes your expert assistant, in Dynatrace Assist or through the Dynatrace MCP server, wherever you work. Or let it run autonomously on a schedule: capacity, load, cost, volume and pipeline health are watched continuously, so you can anticipate incidents before they happen.

Learn from past to simulate the future. Agents that predict and warn, so a failure is caught while it is still cheap.

  • Forecast a resource trend. See if it stays healthy before it doesn't.
  • Predict performance and load. Latency and load, ahead of time.
  • Forecast consumption and cost. Spend, before the invoice arrives.
  • Check resilience and readiness. Single points of failure and SLO targets, with a mitigation plan for what it finds.
  • Understand context. Project with upper and lower bound, and the point at which it crosses your threshold, with actionable recommendations to prevent incidents from happening.

Use cases

  • Risk and impact analysis for critical services: get a full risk, dependency and impact analysis, with a mitigation plan attached.
  • Forecast capacity health: ask ahead of time and see exactly where the projection crosses the threshold.
  • Predict service response time: ask for tomorrow's load and get the response time predicted today.
  • Predict upcoming cost: project from 90 days of history and see your ingest and cost before the invoice does.
  • Seasonal event capacity forecast: forecast from last year's seasonal pattern and get a capacity verdict for the event window.
  • Availability-zone resilience check: ask once and see every node mapped to its availability zone.
  • SLO recommendation: ask once and get a proposed SLO set from live telemetry.
  • Frontend error forecast: forecasting projects where frontend errors are heading, and the agent writes the report around it.
  • Forecast capacity runway: the Dynatrace forecasting analyzer projects disk consumption 72 hours out, and agentic AI turns the forecast into a runway.
  • Regime shift early warning: the changepoint analyzer finds where failure behaviour changed character, and agentic AI judges whether the change is real.

Get started

Ask interactively

  1. Enable generative AI and agentic AI for your environment and assign the permissions through a policy. See the getting started documentation.
  2. In Dynatrace Assist, ask for a forecast on a metric or a cluster you own. To ask from your IDE or terminal, install the Dynatrace MCP server.

Run it autonomously

  1. In Dynatrace Intelligence for Workflows, build an agentic workflow on a schedule that runs the Dynatrace forecasting analyzer and the Prompt agentic AI action.
  2. The agent writes up the forecast, and the workflow routes it to email, Slack, or a Git repository. Keep an approval gate in front of any change the agent proposes.
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