Automated Full-Stack Monitoring in Dynamic Environments
Automatically discover, map, and monitor all infrastructure and application components in real time across hybrid and cloud architectures.
Dynatrace
AI-powered full-stack observability and application performance monitoring platform
By Dynatrace, Inc.
Observability
Application Performance Monitoring
Infrastructure Monitoring
Digital Experience Monitoring
Product Overview
Dynatrace provides an all-in-one software intelligence platform that enables enterprises to monitor and optimize performance across cloud-native applications, infrastructure, and user experience through AI-powered automation and analytics.
Dynatrace offers an AI-driven approach to observability by combining application performance monitoring, infrastructure monitoring, digital experience management, and AIOps into a single platform. It uses advanced AI to provide continuous, automated insights and root cause analysis, enabling businesses to proactively identify and resolve problems. The platform supports modern cloud environments, containers, microservices, and hybrid architectures, helping organizations enhance application reliability, accelerate innovation, and improve end-user experience.
Headquarters and Est. In
Waltham, Massachusetts, United States — Est. 2005
No. of Employees
1001-5000
Customer Demography
Global
Customer Domains
Technology
Finance
Retail
Healthcare
Manufacturing
Use Case Deep Dive
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Proactive Incident Management with AI-Driven Alerts
Use AI-powered anomaly detection and root cause analysis to detect and resolve incidents before customers are impacted.
End-to-End Application Performance Monitoring for Microservices
Monitor, trace, and troubleshoot microservices and distributed applications with detailed performance and error analysis.
Multi-Cloud and Hybrid Cloud Monitoring
Unify monitoring across multiple cloud providers and on-premises infrastructure for a single pane of glass visibility.
Business Impact Analysis through Integrated Analytics
Correlate technical metrics with business KPIs to assess impact of performance on revenue and customer behavior.
Synthetic Monitoring for Guaranteed Application Availability
Run synthetic transactions to proactively verify application workflows and APIs from multiple geographies.
Kubernetes and Container Performance Optimization
Monitor health, resource usage, and performance of Kubernetes clusters and containerized applications.
Continuous Deployment Impact Analysis
Automatically assess how new releases affect application performance and user experience.
Log Analytics and Threat Detection
Aggregate and analyze logs for operational troubleshooting and security monitoring.
Custom Metric Creation and Business KPI Monitoring
Define custom metrics and tag data for better alignment of monitoring with business objectives.
Use Case Details
Integration Details
Feature Details
Key Features
Explore the core capabilities that make Dynatrace stand out.
Automatic Full-Stack Discovery
Automatically detects and maps all components in the software stack and their dependencies for comprehensive observability.
AI-Powered Root Cause Analysis
Leverages artificial intelligence to automatically identify the root cause of performance and availability problems.
End-User Experience Monitoring
Monitors real user behavior, sessions, and application availability to ensure optimal user experience.
Infrastructure and Cloud Monitoring
Monitors the health and performance of servers, containers, and cloud platforms with detailed metrics.
Distributed Tracing and Service Monitoring
Provides detailed tracing of requests across microservices and distributed systems.
Automatic Anomaly Detection
Continuously monitors metrics to detect anomalies using baselining and AI algorithms.
Synthetic Monitoring
Simulates user transactions and API interactions to verify application availability and performance.
Cloud-Native Support and Kubernetes Monitoring
Deeply integrates with Kubernetes and container platforms to monitor workloads and orchestration health.
Continuous Deployment Monitoring
Automatically correlates application changes with performance to assess deployment impact.
Business Analytics and AI-Driven Insights
Correlates technical data with business KPIs to provide actionable business insights.
Open APIs and Integration Framework
Offers extensive APIs and integrations to connect with existing tools and workflows.
Log Monitoring and Analytics
Aggregates, indexes, and analyzes logs for troubleshooting and compliance.
Real-Time Alerting and Incident Management
Configures multi-channel alerts with event correlation and escalation workflows.
Mobile Application Monitoring
Captures performance and crash metrics for native and hybrid mobile apps.
Synthetic API Monitoring
Performs automated API endpoint testing and performance validation.
Security Vulnerability Detection
Identifies known security vulnerabilities and misconfigurations in monitored components.
Custom Metrics and Tagging
Enables users to define custom metrics and apply tagging for enhanced filtering and analysis.
Resource Utilization Forecasting
Predicts future infrastructure needs using historical data and trend analysis.
Multi-Cloud and Hybrid Cloud Support
Provides seamless monitoring for applications and infrastructure deployed across multiple clouds and on-premises.
Service Level Objectives and Reporting
Defines and tracks service level objectives (SLOs) to ensure compliance with business agreements.
Collaboration and Incident Management Integration
Integrates with collaboration and incident management tools to streamline operational workflows.
Customizable Dashboard and Reporting
Builds tailored dashboards and reports to meet diverse team and stakeholder needs.
Contextual Integrations
Not just "integrates with" – here's the specific value each integration delivers:
AWS
Delivers: Integration with Amazon Web Services for infrastructure and service monitoring.
Azure
Delivers: Integration with Microsoft Azure cloud platform for comprehensive monitoring.
Google Cloud Platform
Delivers: Integration with GCP to monitor resources and applications.
Kubernetes
Delivers: Deep monitoring of Kubernetes clusters, nodes, and workloads.
Slack
Delivers: Collaboration platform integration for real-time alerting and incident communication.
PagerDuty
Delivers: Incident management and response platform 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
Customer Success Stories
Platform Updates
Latest Product Updates
Videos
Watch Dynatrace in action.
Dynatrace Platform Overview
AI-Powered Monitoring with Dynatrace
Pricing & Plans
Full Platform
Custom pricing
Application Monitoring
Custom pricing
Infrastructure Monitoring
Custom pricing
Frequently Asked Questions
Common questions about Dynatrace:
Dynatrace is used for full-stack monitoring of applications, infrastructure, and user experience enabled by AI-powered analytics for proactive problem detection and resolution.
Yes, Dynatrace provides automatic monitoring for containers, Kubernetes, serverless functions, and integrates with public clouds as well as on-premises infrastructure.
Dynatrace uses AI-driven anomaly detection and root cause analysis to detect issues early and provide actionable insights, enabling faster incident resolution.
Dynatrace supports integrations with major public clouds, Kubernetes, CI/CD tools, collaboration platforms like Slack and PagerDuty, and ITSM systems such as ServiceNow.
Yes, Dynatrace is designed to support DevOps and SRE workflows with continuous monitoring, deployment impact analysis, and automated alerting.
Implementation Partners
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