Dynatrace is advancing observability for digital businesses of the future, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward.
Learn more at www.dynatrace.com
Dynatrace empowers your journey to a well-architected AWS cloud with intelligent observability of your AWS environment. With Dynatrace, you can:
Get full-stack observability with robust configuration options. End-to-end monitoring of your AWS applications and infrastructure, from code-level insights to end-user tracing
Discover all EC2 instances running in Availability Zones by leveraging CloudWatch API and optimize for efficiency and cost
Migrate onto AWS with automation and intelligence for stability, reliability, and performance of critical services and applications
Improve mean time to resolution with precise root cause analysis showing causation and correlation to drive automated remediation
Analyze highly complex and dynamic ecosystems and billions of events in real-time
Real-time application security for runtime applications for detection and blocking of vulnerabilities and threats
Monitor, optimize, and secure Generative AI applications, LLMs, and agentic workflows, improving performance, explainability, and compliance
Optimize delivery pipeline by automating SLO verification for stable and performative releases
Dynatrace works out-of-the-box with Amazon EC2, Elastic Container Service, Elastic Kubernetes Service, Fargate, Lambda, Bedrock and over 100+ other AWS native technologies.
This listing is intended for use only with a Private Offer and must be deployed on AWS (whether SaaS, or Customer hosted (Managed/Hybrid).
Highlights
Unified AWS Observability Powered by AI: Dynatrace delivers deep integration across 100+ AWS services including EC2, Lambda, ECS, EKS, and Fargate. Advanced Amazon Bedrock monitoring enables real-time GenAI cost optimization, guardrail detection for hallucinations and PII leakage, and end-to-end AI stack tracing with Davis AI root cause analysis, helping you automate, analyze, and innovate faster across your AWS environment.
Accelerate AWS Cloud Operations & Migration: Native AWS EventBridge integration correlates events with performance data for AI-powered analysis and remediation. Seamless VMware-to-AWS migration support with Application Migration Service delivers continuous observability throughout your cloud transition, providing the insights needed to understand your systems and optimize performance at every stage.
Autonomous Security Across AWS Workloads: Built-in Runtime Application Self-Protection autonomously detects and blocks threats across all AWS-hosted applications. Unified observability and security extends to generative AI workloads and Amazon Bedrock models, ensuring continuous compliance and governance at scale as you drive your AWS business forward.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract gives you six independent usage dimensions you can combine to fit your monitoring needs. Host Units measure the size of a host you monitor, while Host Unit Hours bill a 16 GB host per running hour. DEM Units and Davis Data Units are each sold in blocks of one million annual units, covering digital experience and platform data processing. Data Ingestion & Analytics bills per 500 unique timeseries metrics. Application Security bills per 10,000 annual units. Each dimension scales separately based on the volume you consume, so your cost tracks your actual usage.
Top-of-mind questions for buyers
What does one Host Unit map to, and how is a host's size counted?
A Host Unit represents the size of a monitored host. Larger hosts consume more Host Units based on memory. The Host Unit Hours dimension bills a 16 GB host for each hour it runs. So consumption tracks both host size and how long each host stays active.
Am I charged for hosts that are powered off or idle?
Host Unit Hours meter a running host per hour. Fully powered-off hosts do not accrue hourly software charges, since billing reflects active running time. Host Units, by contrast, reflect the size of hosts you monitor rather than runtime, so their measurement basis differs.
Which dimension drives my bill, and how do the six dimensions combine?
Each dimension bills independently and appears on the same invoice. Host Units and Host Unit Hours track infrastructure monitoring. DEM Units cover digital experience. Davis Data Units cover platform data processing. Data Ingestion & Analytics covers timeseries metrics. Application Security covers runtime findings. The dimensions matching your monitored workloads usually dominate cost.
www.dynatrace.com
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Vendor refund policy
Payment obligations for all Dynatrace orders are non-cancelable, and fees are non-refundable except as otherwise provided in the master subscription agreement.
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SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
End-to-end monitoring of AWS applications and infrastructure from code-level insights to end-user tracing with robust configuration options
AI-Powered Root Cause Analysis
Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
AWS Native Integration
Deep integration with 100+ AWS services including EC2, Lambda, ECS, EKS, Fargate, and Amazon Bedrock with out-of-the-box compatibility
Runtime Application Security
Built-in Runtime Application Self-Protection autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
Generative AI Monitoring
Monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with real-time GenAI cost optimization and hallucination detection
AI-Powered Root Cause Analysis
Automatically investigates alerts and pinpoints root causes with 5x faster analysis capabilities.
Natural Language Query Interface
Enables querying of observability data using conversational natural language to identify issues and receive actionable insights.
Real-Time Anomaly Detection
Detects system anomalies in real-time to prevent incidents before they impact users.
OpenTelemetry Integration
Supports standardized OpenTelemetry integration for unified data collection across logs, metrics, and traces in cloud-native environments including Kubernetes, serverless, and microservices.
Multi-Tiered Storage Architecture
Implements multi-tiered storage and data management capabilities to optimize telemetry data retention and reduce storage costs.
Network Topology Visualization
Visibility of AWS regions topology with VPC traffic mapping within AWS and to other infrastructure, including Kubernetes cluster traffic monitoring.
Synthetic Monitoring
Synthetic monitoring capability with public global agents and support for deploying agents on custom infrastructure to detect performance-impacting issues.
Anomaly Detection and Alerting
Sophisticated anomaly detection and alerting system that monitors network conditions and triggers notifications as changes occur.
Real-time Traffic and Performance Analysis
Real-time exploration and analysis of traffic and performance metrics with results returned in seconds.
Integrated Metrics Collection
Integrated collection and analysis of polled and streaming metrics for assessing physical and virtual network device activity and health.
DQL in Dynatrace Makes Cross-Source Insights Effortless
Reviewed on Sep 17, 2026
Review provided by G2
What do you like best about the product?
The most helpful part of Dynatrace, for me, is DQL (Dynatrace Query Language). It can pull data from all sources in Grail, so I don’t have to click through the UI just to correlate different data sources.
What do you dislike about the product?
DORA metrics aren’t easily integrated into Dynatrace right now. It still feels like some of the beta functionality needs more work before it’s truly production-ready.
What problems is the product solving and how is that benefiting you?
Dynatrace is very responsive when it comes to fixing and addressing any issues we run into. It can also pull a lot of data quickly and efficiently, which is exactly what our business needs.
Information Technology and Services
Intuitive, Well-Documented, and Backed by Helpful Dynatrace Support
Reviewed on Sep 17, 2026
Review provided by G2
What do you like best about the product?
From my point of view, Dynatrace is the most intuitive tool on the market, I’ve tried several others. The documentation is also very strong: it’s clear, detailed, and well explained. And if you ever find something missing, the support team will definitely help you.
What do you dislike about the product?
I think it should offer more integrations, and make it easier to support custom extensions. It shouldn’t rely only on giving access to the community for that.
What problems is the product solving and how is that benefiting you?
I’ve been working with Dynatrace for several years, and I’ve used it to solve hundreds of different types of problems, ranging from infrastructure issues to business analytics. One of the most memorable cases was when I realized a customer was spending twice what was necessary on SMS and phone calls. The service had an issue that was correlated with a database problem, which caused messages to users to be sent in duplicate.
Pharmaceuticals
High Performance and Clear, Organized Data Visualization
Reviewed on Sep 15, 2026
Review provided by G2
What do you like best about the product?
performance, visual representation, organized way of showing data
What do you dislike about the product?
price, access related issues, and limitations
What problems is the product solving and how is that benefiting you?
about site performance monitoring and the access level monitoring
John H.
Cutting-Edge Tech and Support That Drives Success
Reviewed on Sep 13, 2026
Review provided by G2
What do you like best about the product?
First and foremost, they strive to stay on the cutting edge of technology. To back that up, the support function, and the relationship we have with Dynatrace is what’s key to our success.
What do you dislike about the product?
I can honestly say I don't have any dislikes, like any software products there are quirks but nothing has been a show stopper for us.
What problems is the product solving and how is that benefiting you?
Quick fault resolution, fixing legacy issues and being able to show true value to the business. Using Biz-Events we can create exec level dashboards which are very well received.
Ramesh Kumar R.
Dynatrace’s AI-Powered Observability Boosts Reliability and Speeds Troubleshooting
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
Overall, my experience with Dynatrace has been very positive. It has become a critical platform for monitoring the health and performance of our applications, helping us detect issues early, troubleshoot faster, and improve service reliability. The unified observability approach along with AI-driven capabilities has reduced manual effort during incident investigations giving the team better visibility on RCA, entire technology stack etc.. It has been a valuable tool for maintaining a stable digital experience.
What do you dislike about the product?
1. Although dashboards have improved, certain configurations and investigations still require navigating through multiple screens. 2. The platform offers many apps, but new users need significant time for training to become comfortable with features like DQL, Grail, advanced dashboard creation etc..
What problems is the product solving and how is that benefiting you?
1. Unified observability: Having logs, metrics, traces, RUM, Synthetic monitoring, and infrastructure data in a single platform makes troubleshooting more efficient. 2. Root Cause Analysis - The AI driven problem detection and automatic dependency significantly reduces the time required to identify the root cause. 3. End to End visibility - The ability to trace a user transaction from browser through application, services, database etc.. provides complete visibility into application performance and customer experience. 4. Additionally, the customizable dashboards, alerting capabilities and DQL make it easier to create reports and dashboards that can be shared with leaders/stakeholders.