Sold by: Dynatrace
Deployed on AWS
Vendor Insights
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
4.5
Overview
Dynatrace empowers your journey to a well-architected AWS cloud with intelligent observability of your AWS environment. With Dynatrace, you can:
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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
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Discover all EC2 instances running in Availability Zones by leveraging CloudWatch API and optimize for efficiency and cost
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Migrate onto AWS with automation and intelligence for stability, reliability, and performance of critical services and applications
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Improve mean time to resolution with precise root cause analysis showing causation and correlation to drive automated remediation
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Analyze highly complex and dynamic ecosystems and billions of events in real-time
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Real-time application security for runtime applications for detection and blocking of vulnerabilities and threats
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Monitor, optimize, and secure Generative AI applications, LLMs, and agentic workflows, improving performance, explainability, and compliance
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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.
Details
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Features and programs
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Security credentials achieved
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SOC2
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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
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
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.
Dimension | Description | Cost/12 months |
|---|---|---|
Host Units | Represents the Size of a Host. 1 Host Unit | $100,000.00 |
Host Unit Hours (9.000) | Represents a Host (16 GB) Running for One Hour | $100,000.00 |
DEM Units | Per Million Annual Units | $100,000.00 |
Davis Data Units | Per Million Annual Units | $100,000.00 |
Data Ingestion&Analytics | per 500 unique timeseries metrics | $100,000.00 |
Application Security | Per 10,000 Annual Units | $100,000.00 |
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.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
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.
Support
Vendor support
Free built-in support via forum and support portal. Enterprise Support is available for at additional cost.
AWS infrastructure support
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.
Updated weekly
By Dynatrace
By Kentik
Top
10
In Migration, Continuous Integration and Continuous Delivery
Top
10
In Generative AI, Log Analysis
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10
In Analytic Platforms
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Full-Stack Observability
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 costs and achieve 30% to 50% cost savings.
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 capabilities 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 conditions across infrastructure and returns real-time alerts
Integrated Metrics Collection and Analysis
Integrated collection and analysis of polled and streaming metrics for assessing physical and virtual network device activity and health
Multi-Environment Observability
Complete network visibility spanning container, cloud, on-premises, internet, and uncontrolled network segments with unified cross-environment views
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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No security profile
Standard contract
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Customer reviews
Dipu Das
Full-stack observability has improved load testing and consistently reduces error rates
Reviewed on Feb 25, 2026
Review provided by PeerSpot
What is our primary use case?
The main use case for using Dynatrace is to check the CPU utilization and the performance stats of my load test, stress test, or endurance test.
During one of my tests, when I perform a load test, I parallelly open or configure the server of that application in Dynatrace , creating a new dashboard so that during my load test, I can easily observe what is happening, what the error stats are, what my pass percentage is, what my CPU utilization is, or the garbage collection, and other metrics.
I can even check my alerts and exceptions as well.
What is most valuable?
For me, the best feature Dynatrace offers is full-stack observability, which allows me to check my infrastructure or the containers because most of my applications are cloud-based, and with Dynatrace, I can check the database or the network path, or which are on-premises or cloud, making full-stack observability more suitable for me.
Dynatrace is our APM tool, which provides deep code-level visibility, allowing us to check the methods or exceptions, database calls, or external services, and we can easily trace them out.
Dynatrace has positively impacted my organization because usually when I do a load test, our API SLA is only one second, but it crosses more than three seconds or five seconds, and by using this APM tool, we can figure out what is causing it, what kind of error it is throwing, and how we can optimize it, making it very useful for my organization as well as for me while doing load testing.
For the metrics or numbers, our error rate should be less than three percent, and achieving less than three percent, even if it is one percent, is very good, and the reduction of the error rate by using Dynatrace was quite good.
What needs improvement?
Dynatrace itself is a very good platform where the UI interface is very simple and usable, but I would say if it were made even more simple, similar to our Splunk dashboard, that could help users or newer users understand it more easily, especially since sometimes I have seen when using Dynatrace, we are not able to add the time frame properly.
If you add some more fields with simple words or simple terms instead of the complex terms used for a resource, that might be helpful.
Dynatrace can be better and more user-friendly, and that is my advice, but overall, it is a good application and APM tool for a performance tester.
For how long have I used the solution?
I have been using Dynatrace for four to five years.
What do I think about the stability of the solution?
Dynatrace is stable.
What do I think about the scalability of the solution?
The scalability of Dynatrace is good, and we can easily figure out what is happening.
How are customer service and support?
The customer support is responsive because when I logged some defects to the developer teams, they worked with Dynatrace team, and I think we have received much support.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
Before using Dynatrace, I used AppDynamics and Splunk.
What was our ROI?
By using the APM tool for resource management and time management, we have saved a lot of time, so I would say this is a good investment that the organization has made.
Which other solutions did I evaluate?
I have not switched from AppDynamics as well as Splunk because I am using Dynatrace as well as those other two APM tools, depending on my project level, what the project is configured with, and which is better.
What other advice do I have?
I would advise others to use Dynatrace because it is very good in terms of scalability and reliability, and the stats it shows, including the perfection and the graph, are very good, so I would suggest they use Dynatrace. I gave this review a rating of nine.
Tim I.
Dynatrace Grail: Super Useful for Finding and Organizing Information
Reviewed on Feb 06, 2026
Review provided by G2
What do you like best about the product?
Dynatrace Grail is super useful in finding information with a large amount of options to organize and present it.
What do you dislike about the product?
Davis is the worst AI assistant I have ever used. I can not recall a situation where it has correctly answered a question and is constantly contradicted by the information it sources. I only use it to ask questions. It might be better at anomaly detection.
What problems is the product solving and how is that benefiting you?
We are able to search and share information insanely easy.
Higher Education
New Features Make Dynatrace Easy to Adopt—No Deep Technical Experience Needed
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
Focus on new features that make it easier to adopt and not need alot of technical experience to understand and use
What do you dislike about the product?
More connections with the clients that also use Dynatrace to share successes and challenges to enable collaboration and reduce time to solve issues
What problems is the product solving and how is that benefiting you?
Better visibility and observability into our systems to make productive decisions
Luciana Cristina .
Exceptional Performance, Easy Integration
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
I like how Dynatrace applications enable access to information and the dashboards that support the business. I create dashboards that help my clients have a view of their services' performance and navigate through this information.
What do you dislike about the product?
I have some cases of dashboard migration from the classic version to the new interface that do not bring all the chart settings. Additionally, for some teams where the language is not supported, it has been more challenging after some tag and log rule definitions.
What problems is the product solving and how is that benefiting you?
Dynatrace reduces MTTR, assists in problem analysis, creates dashboards and notebooks, and validates the consistency of the environment.
Keith S.
Unified Monitoring that works at scale
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
I use Dynatrace to support IT teams by simplifying the end-to-end capability around monitoring, which reduces the complexity of fragmented data by providing a single pane of glass. I appreciate the depth and breadth of the supported technologies and the way it standardizes the visualizations of data. Dynatrace consolidates a wide range of technologies into a common view, which is really helpful since our organization has to monitor many different technologies, both old and new. The initial setup was also very easy, especially since we have a SaaS platform, making agent deployment smooth and simple.
What do you dislike about the product?
I would say the dashboarding. It's very block-like in its layout. While this is great for simplification, there are times when it would be good to have the ability to fully customize them with potentially overlapping dashboard widgets, backgrounds, logos, etc.
What problems is the product solving and how is that benefiting you?
I use Dynatrace to support IT teams with monitoring and observability. It simplifies monitoring by consolidating data into a single pane, reducing complexity from fragmented data.