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Dynatrace

Externo

Dynatrace is the leading AI-powered observability platform built for the age of AI, providing full-stack visibility across applications, infrastructure, security, and digital experiences. With Davis AI for real-time root-cause analysis, predictions, and automation, plus the Grail data lakehouse for unified data analytics, it transforms observability data into actionable decisions. Ideal for enterprise DevOps, SRE, and IT teams managing complex cloud-native environments, Dynatrace reduces MTTR, prevents issues, and ensures optimal performance and user experiences.

Preços
A partir de USD0.2/moVer preços
CategoriaResearch & Data Analysis
0.0/5
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Dynatrace

Descrição

Dynatrace is the leading AI-powered observability platform built for the age of AI, providing full-stack visibility across applications, infrastructure, security, and digital experiences. With Davis AI for real-time root-cause analysis, predictions, and automation, plus the Grail data lakehouse for unified data analytics, it transforms observability data into actionable decisions. Ideal for enterprise DevOps, SRE, and IT teams managing complex cloud-native environments, Dynatrace reduces MTTR, prevents issues, and ensures optimal performance and user experiences.

Principais capacidades

  • AI-powered observability with Davis AI for root-cause analysis, predictions, and automation
  • Grail data lakehouse for unifying and analyzing all observability data
  • Comprehensive solutions for AI observability, APM, application security, business analytics, digital experience, infrastructure, logs, software delivery, and threats

Principais casos de uso

  1. 1.Observability for GenAI, LLMs, and AI agents
  2. 2.Application performance management (APM), tracing, and profiling
  3. 3.Digital experience monitoring with real-user and synthetic checks
  4. 4.Multi-cloud infrastructure monitoring
  5. 5.Log-driven analytics and threat detection
  6. 6.Business analytics and observability-driven software delivery

A Dynatrace é ideal para você?

Melhor para

  • Enterprise teams with complex microservices and cloud-native apps
  • DevOps and SRE handling high-transaction services

Não é ideal para

  • Small businesses or teams with basic monitoring needs
  • Non-technical users or budget-constrained SMBs

Recursos de destaque

  • Automatic topology mapping and dependency visualization
  • Intuitive dashboards and real-time insights
  • Automation Engine for converting answers into actions
  • Flexible pay-for-use pricing
  • Extensive integrations with clouds (AWS, Azure, etc.), Kubernetes, OpenTelemetry, and more

Preços

Full-Stack Monitoring

USD58/mês

    Code Monitoring

    USD3.6/mês

      Bundled Queries

      USD0.2

        Foundation & Discovery

        USD7/mês

          Infrastructure Monitoring

          USD29/mês

            Kubernetes Platform Monitoring

            USD1.4/mês

              Pay-per-Query

              USD0.2

                Real User Monitoring

                USD2.25

                  Real User Monitoring with Session Replay

                  USD4.5

                    Browser monitor

                    USD4.5

                      HTTP monitor

                      USD1

                        Runtime Vulnerability Analytics

                        USD13/mês

                          Runtime Application Protection

                          USD13/mês

                            Security Posture Management

                            USD5/mês

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                              Mais Elogiado

                              • AI-driven root cause analysis reduces MTTR and enables proactive resolution
                              • Full-stack observability with automatic topology mapping
                              • Intuitive dashboards and strong enterprise support
                              • Automation reduces noisy alerts and manual effort
                              • Real-time monitoring improves app performance and user experience

                              Reclamações Comuns

                              • Steep learning curve for dashboards and customization
                              • Premium pricing with consumption-based model can be expensive
                              • Alert fatigue from noisy or frequent non-severe alerts
                              • Privacy risks with session replay capturing sensitive data
                              • Limited dashboard customization and occasional performance issues