End-to-End Application Performance Monitoring
Monitor applications fully from user interactions to backend services and infrastructure to ensure optimal performance and availability.
Dynatrace
AI-powered software intelligence platform for monitoring and optimizing application performance, infrastructure, and user experience
By Dynatrace LLC
Observability
Application Performance Monitoring
Infrastructure Monitoring
AI Ops
Product Overview
Dynatrace is a comprehensive software intelligence platform that provides end-to-end application performance monitoring, infrastructure monitoring, and digital experience management. It leverages AI to deliver automatic anomaly detection, root cause analysis, and actionable insights across cloud environments, microservices, and hybrid architectures.
Dynatrace enables enterprises to monitor complex distributed systems, containerized applications, cloud-native environments, and provides detailed observability through automatic discovery of components and dependencies. Its AI engine continuously analyzes data across applications, infrastructure, and user behavior to predict issues and reduce downtime, improving operational efficiency and accelerating digital transformation.
Headquarters and Est. In
Waltham, Massachusetts, United States — Est. 2005
No. of Employees
1001-5000
Customer Demography
Global
Customer Domains
Technology
Financial Services
Healthcare
Retail
Manufacturing
Use Case Deep Dive
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Distributed Microservices Dependency Mapping and Troubleshooting
Automatically detect and map service dependencies in complex microservices architectures to simplify troubleshooting.
Cloud-Native Infrastructure Monitoring and Optimization
Monitor and optimize Kubernetes clusters and cloud infrastructure for performance and cost efficiency.
Proactive Incident Management with Automated Alerting
Use AI-powered alert correlation and automated workflows to reduce incident response times and improve uptime.
Synthetic Transaction Monitoring for Critical Business Workflows
Continuously validate key user transactions with synthetic tests to ensure business continuity.
Multi-Cloud Cost and Performance Management
Manage and optimize cloud resources across AWS, Azure, and GCP from a single platform.
Enhanced Security Monitoring with Observability
Integrate security telemetry with operational data for improved threat detection and incident response.
Custom Business Metrics Monitoring and Visualization
Monitor business-specific KPIs by ingesting and visualizing custom metrics.
Incident Response Automation with AI
Leverage AI to automate detection, triage, and mitigation of incidents to minimize operational impact.
Comprehensive Digital Experience Monitoring
Provide holistic visibility into user experience across digital channels for continuous improvement.
Use Case Details
Integration Details
Feature Details
Key Features
Explore the core capabilities that make Dynatrace stand out.
Automatic and Intelligent Root Cause Analysis
Dynatrace automatically detects anomalies and identifies the root causes of performance issues using AI-powered analytics.
Full-stack Application Performance Monitoring
Monitor performance across frontend, backend, servers, and infrastructure in a unified platform.
Automatic Discovery and Mapping of Dependencies
Dynatrace discovers application components and maps their complete dependencies automatically.
Real User Monitoring (RUM)
Capture and analyze real user interactions and experience metrics in web and mobile applications.
Synthetic Monitoring
Simulate user interactions to test application availability and performance around the clock.
Infrastructure Monitoring
Monitor hosts, virtual machines, containers, and cloud infrastructure with detailed metrics and logs.
Distributed Tracing
Trace application requests end-to-end across distributed systems and microservices.
AI-Powered Log Analytics
Collect, analyze, and correlate logs at scale using built-in AI capabilities.
Cloud and Container Monitoring
Optimize and monitor cloud-native environments including AWS, Azure, GCP, and Kubernetes.
Automation and DevOps Integration
Integrate with CI/CD and automation tools to optimize software delivery pipelines.
Customizable Dashboards and Reporting
Create tailored dashboards and reports for diverse roles and use cases.
Service Level Objective (SLO) Management
Define, monitor, and report on SLOs to align IT with business goals.
API Monitoring
Monitor API availability, latency, and correctness.
Security and Compliance Monitoring
Monitor security metrics and compliance statuses alongside performance data.
User Session and Behavior Analytics
Analyze detailed user behavior and session data to optimize digital experience.
Synthetic API and Web Transaction Monitoring
Simulate multi-step transactions to ensure service health and functionality.
Integration with ITSM and Alerting Tools
Seamlessly connect with IT service management and alerting platforms for incident lifecycle management.
Kubernetes and Container Monitoring
Monitor health and performance of Kubernetes clusters and containerized applications.
Log Analytics with Contextual Correlation
Analyze and correlate logs with performance and tracing data for comprehensive insights.
Cloud Cost Monitoring and Optimization
Track and analyze cloud infrastructure costs to optimize spend.
Multi-cloud and Hybrid Cloud Support
Monitor infrastructure and applications deployed across multiple cloud providers and on-premises.
Custom Metrics Ingestion and Monitoring
Ingest and analyze customer-defined custom metrics from applications and systems.
Contextual Integrations
Not just "integrates with" – here's the specific value each integration delivers:
AWS CloudWatch
Delivers: Monitor and collect AWS infrastructure metrics and logs natively.
Azure Monitor
Delivers: Collect metrics and logs from Azure cloud resources.
Google Cloud Monitoring
Delivers: Integrates with Google Cloud’s operations suite for metrics and logs.
Kubernetes
Delivers: Monitor Kubernetes clusters, nodes, and containers.
PagerDuty
Delivers: Incident management and alerting platform integration.
ServiceNow
Delivers: IT service management and workflow automation integration.
Resources
Latest insights, guides, and templates to accelerate your decisions.
Blog Posts
Dynatrace Blog
Downloads
Downloads coming soon
Resources and templates will be available soon
Case Studies
Dynatrace Customer Success Stories
Platform Updates
Latest Dynatrace Releases
Pricing & Plans
Dynatrace Full Platform
Custom pricing based on usage and modules
Dynatrace Infrastructure Monitoring
Custom pricing
Digital Experience Monitoring
Custom pricing
Frequently Asked Questions
Common questions about Dynatrace:
Dynatrace is used for AI-powered application performance monitoring, infrastructure monitoring, and user experience management across cloud and hybrid environments.
Yes, Dynatrace provides deep Kubernetes monitoring including cluster health, pod status, resource utilization, and orchestration events.
Yes, Dynatrace uses AI to automatically detect anomalies and perform root cause analysis to pinpoint issues quickly without manual effort.
Dynatrace supports AWS, Azure, Google Cloud, and hybrid cloud environments with dedicated integrations and multi-cloud monitoring capabilities.
Yes, Dynatrace integrates with popular ITSM platforms like ServiceNow and incident management tools like PagerDuty and Slack.
Implementation Partners
Partners listed for Dynatrace and trusted teams available for implementation support.
No implementation partners are listed for this profile yet.
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