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Dynatrace

Dynatrace delivers AI-powered observability that turns data into autonomous actions, helping teams build, secure, and run better software faster.

Dynatrace

Dynatrace Product Information

What is Dynatrace?

Dynatrace is an all-in-one observability platform built for the age of AI. It helps businesses turn massive amounts of data into smart decisions—and even autonomous actions—so teams can innovate faster, operate more efficiently, and deliver better digital experiences. Whether you're managing cloud infrastructure, securing applications, or optimizing business performance, Dynatrace uses AI-powered insights to cut through complexity.

Trusted by global leaders like Air France-KLM, ADT, and WeLab Bank, Dynatrace unifies observability, security, automation, and business analytics in a single platform. With its unique deterministic AI engine and contextual data lakehouse (Grail™), it doesn’t just detect problems—it predicts them, explains why they happen, and often fixes them before users even notice.

What are the features of Dynatrace?

  • AI Observability
    Monitor and optimize Generative AI apps, LLMs, and AI agents with full visibility into performance, cost, and reliability.
  • Application Observability
    Get deep code-level insights with APM, distributed tracing, and continuous profiling across cloud-native and legacy systems.
  • Application Security
    Automatically discover, prioritize, and block known and unknown vulnerabilities in real time—shifting left without slowing down.
  • Business Observability
    Connect technical performance to business outcomes using customizable, real-time analytics on user behavior and revenue impact.
  • Infrastructure Observability
    Track every component across multi-cloud, hybrid, and containerized environments with automatic discovery and dependency mapping.
  • Log Analytics
    Turn raw logs into actionable intelligence—no complex queries needed—thanks to Grail’s schema-on-read data lakehouse.
  • Dynatrace Intelligence
    Leverage agentic AI that automates workflows, resolves incidents faster, and coordinates actions across DevOps and security tools.

What are the use cases of Dynatrace?

  • Prevent outages in GenAI-powered customer service bots by monitoring token usage, latency, and error rates in real time.
  • Reduce mean time to resolution (MTTR) from hours to minutes by using AI to pinpoint root causes across microservices and cloud infrastructure.
  • Secure CI/CD pipelines by automatically detecting vulnerabilities during development and blocking risky deployments.
  • Improve e-commerce conversion rates by correlating page load speed, user sessions, and cart abandonment data.
  • Optimize cloud costs by identifying underutilized resources and auto-remediating wasteful spending patterns.
  • Deliver flawless mobile and web experiences using real-user monitoring, synthetic checks, and session replays.

How to use Dynatrace?

  • Sign up for a 15-day free trial or explore the sandbox environment to test features without commitment.
  • Install the lightweight OneAgent or OpenTelemetry collectors to auto-discover your stack and start streaming telemetry data.
  • Navigate the unified dashboard to explore pre-built views for applications, infrastructure, security, or business metrics.
  • Set up custom alerts and automated workflows using Davis AI to trigger actions in Slack, ServiceNow, or other tools.
  • Use Grail’s query language (DQL) for advanced log analysis—or rely on natural language search for quick answers.
  • Integrate with your existing cloud platforms (AWS, Azure, GCP), Kubernetes, CI/CD tools, and ticketing systems via native connectors.

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Dynatrace Related Other Categories

Dynatrace Traffic Analysis

Website traffic estimates for dynatrace.com. Visits are not unique users or product usage.

💡 Insights

📈
High Traffic
Over 1M monthly visits. Widely recognized and stable choice.
➡️
Stable
Traffic remains stable, indicating a mature product.
💎
High Stickiness
Low bounce rate (23%) and deep engagement (14.6 pages/visit). Excellent user experience.
🎯
Strong Brand
56% direct traffic. High user loyalty.
  • Monthly Visits

    1.50M

  • Bounce Rate

    23.25%

  • Pages Per Visit

    14.62

  • Visit Duration

    00:10:17

  • Global Rank

    21518

  • Country Rank

    12435

Visits Over Time

Traffic Sources

Direct56.31%
Referrals13.81%
Search Organic12.02%
Social Organic7.21%
Mail2.59%
Display Ads2.34%
Gen Ai2.04%
Search Paid2.02%
Social Paid1.64%
Affiliate0.03%

Top Keywords

1
dynatrace
CPC$4.75
18.96KTraffic
2
opentelemetry
CPC$5.69
2.05KTraffic
3
dynatrace university
CPC$6.05
2.04KTraffic
4
devops
CPC$2.14
1.84KTraffic
5
dynatrace careers
CPC$2.22
1.12KTraffic

Top Regions

RegionPercentage
United States
United States
35.52%
India
India
8.71%
Italy
Italy
6.46%
Canada
Canada
4.39%
Austria
Austria
4.35%
Low
High

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Dynatrace FAQ

What makes Dynatrace different from other observability tools?

Dynatrace uses deterministic AI (not just statistical models) to provide precise root-cause analysis and autonomous remediation. Its unified data lakehouse (Grail™) also eliminates silos by combining metrics, traces, logs, and security data in context.

Can Dynatrace monitor Generative AI applications?

Yes! Dynatrace offers AI Observability specifically designed for LLMs, AI agents, and GenAI apps—tracking performance, cost, hallucinations, and user interactions in real time.

Is there a free trial available?

Absolutely. You can try Dynatrace free for 15 days or explore the no-install sandbox to get hands-on experience instantly.

How does pricing work?

Dynatrace uses simple, usage-based pricing—you only pay for what you use, with flexible subscriptions designed for modern cloud environments. No hidden fees for data ingestion or features.

Does Dynatrace support multi-cloud environments?

Yes. It provides end-to-end observability across AWS, Azure, Google Cloud, on-premises, and hybrid setups—with automatic topology mapping and dependency tracking.

Can it help with application security?

Definitely. Dynatrace’s Application Security module finds vulnerabilities in code and runtime, prioritizes risks based on exploitability, and blocks attacks in real time—without manual tuning.

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