Dynatrace

Dynatrace

Dynatrace is an AI-powered observability platform for dynamic multi-cloud environments. It provides automatic and intelligent observability to optimize cloud ecosystem performance, provide answers via explainable AI, and accelerate cloud migration and adoption.
Dynatrace image
observability monitoring performance cloud

Dynatrace: AI-Powered Observability Platform for Multi-Cloud Environments

Dynatrace provides automatic and intelligent observability to optimize cloud ecosystem performance, provide answers via explainable AI, and accelerate cloud migration and adoption.

What is Dynatrace?

Dynatrace is an AI-powered observability platform designed for monitoring complex, dynamic multi-cloud environments. It automatically discovers and maps full-stack dependencies to provide an end-to-end visualization of the entire ecosystem.

Key capabilities and benefits of Dynatrace include:

  • Automatic and intelligent observability - Performs automatic baselining and anomaly detection using deterministic AI to surface problems faster.
  • Answers via explainable AI - Provides precise answers to issues, not just more data, including severity assessment, impacted users, and root cause analysis.
  • Optimizes cloud ecosystem performance - Continuously optimizes cloud performance and experience via auto-remediation and smartscape management.
  • Accelerates cloud migration and adoption - Simplifies cloud migrations through automation and one-click instrumentation.
  • Powerful analytics - Ingests and analyzes metrics, logs, and traces at massive scale to enable faster decision-making.
  • Enterprise scale - Supports web-scale environments with minimal overhead based on PurePath® distributed tracing technology.

Dynatrace is trusted by 9000+ enterprise customers worldwide, including leaders across financial services, manufacturing, software and internet services.

Dynatrace Features

Features

  1. AI-powered observability
  2. Automatic and intelligent observability
  3. Real user monitoring
  4. Infrastructure monitoring
  5. Application performance monitoring
  6. Digital experience monitoring
  7. Log monitoring and analytics
  8. Network monitoring
  9. Code-level diagnostics

Pricing

  • Subscription-Based

Pros

Powerful AIOps capabilities

Flexible licensing options

Intuitive UI with actionable insights

Robust alerting and anomaly detection

Seamless view across entire stack

Easy to deploy and integrate

Cons

Can be complex for smaller environments

Steep learning curve

Requires significant configuration

Higher cost than competitors


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