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Dynatrace

倖郚

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.

料金
最䜎料金 USD0.2/mo料金を芋る
カテゎリResearch & Data Analysis
0.0/5
0 件のレビュヌ
Dynatrace

説明

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.

䞻な機胜

  • 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

䞻な甚途

  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

Dynatrace はあなたに合っおいたすか

おすすめの甚途

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

向いおいない甚途

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

際立った特城

  • 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

料金プラン

Full-Stack Monitoring

USD58/月

    Code Monitoring

    USD3.6/月

      Bundled Queries

      USD0.2

        Foundation & Discovery

        USD7/月

          Infrastructure Monitoring

          USD29/月

            Kubernetes Platform Monitoring

            USD1.4/月

              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/月

                          Runtime Application Protection

                          USD13/月

                            Security Posture Management

                            USD5/月

                              レビュヌ

                              0.0/5

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                              ナヌザヌフィヌドバックのハむラむト

                              最も高く評䟡された点

                              • 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

                              よくある䞍満

                              • 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
                              Dynatrace