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.
The Dynatrace platform and flexible pricing model are designed to grow with your business and scale based on your demands.
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).
Disclaimer:
Terms of Service: This listing is intended for use only with a Private Offer and must be deployed on AWS. Pricing and the applicable DPS scope are defined in the corresponding Dynatrace Private Offer and order form.
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, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This subscription uses a single commitment measured in units. You pay for an annual commitment upfront, then draw down against it as you use platform capabilities at set rate-card prices. The two dimensions work together. The Annual Commitment sets your prepaid usage pool for the year. On-demand units apply only when your usage exceeds that commitment. On-demand usage is billed at the same rates as your prepaid consumption, with no penalty overage charges. Both dimensions are priced per unit, so cost scales with how much of the platform you actually consume.
Top-of-mind questions for buyers
What does one unit map to, and how do different capabilities draw down from my commitment?
Units are a common currency across the platform. Each capability consumes units at its own rate-card price, based on measures like host-hours, GiB-hours, sessions, or synthetic actions. All capability usage draws down from the same annual commitment pool, so different capabilities share one unit balance.
What happens to my cost if my usage exceeds the annual commitment?
Once you consume past your prepaid commitment, on-demand units apply automatically. These are billed monthly at the same rates as your prepaid consumption. There are no penalty-style overage premiums. You can also raise your commitment to reach a lower per-unit rate.
Which platform capabilities can I use under my commitment, or are some locked?
Your subscription unlocks all generally available platform capabilities from day one. You are not restricted to specific modules. You use whatever you need, and each use draws down units from your single commitment at its rate-card price.
www.dynatrace.com
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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
Generative AI Application Monitoring
Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
Runtime Application Security
Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
AWS Native Integration
Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for seamless deployment and correlation
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.
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.
Anonymous
Robust Monitoring with AI-Driven Insights
Reviewed on Sep 11, 2026
Review provided by G2
What do you like best about the product?
I enjoy the strong application and infrastructure monitoring capabilities of Dynatrace. The real-time alerts and useful dashboards are very helpful. I also appreciate its powerful AI-assisted analysis which makes problem detection and root cause identification more efficient.
What do you dislike about the product?
Sometimes it provides a lot of information which might require time to analyze and identify the exact issue.
What problems is the product solving and how is that benefiting you?
Dynatrace helps detect problems and identify root causes with strong monitoring capabilities, useful dashboards, and real-time alerts.
Hospital & Health Care
Contextual View Across Logs, Metrics, and Traces
Reviewed on Sep 10, 2026
Review provided by G2
What do you like best about the product?
I like the contextual view across logs, metrics, traces, and related data.
What do you dislike about the product?
It’s a great product overall, but it does come with a pretty big price tag.
What problems is the product solving and how is that benefiting you?
Ultimately, Dynatrace is helping us make the shift from traditional monitoring to true observability.
Sifaat Q.
Comprehensive Cloud Observability Powered by Proactive AI
Reviewed on Jul 21, 2026
Review provided by G2
What do you like best about the product?
Dynatrace provides exceptional full-stack visibility and automated root-cause analysis. Its OneAgent deployment makes installation seamless, giving instant deep-dive insights into hybrid and multi-cloud environments. The AI engine (Davis) excels at pinpointing performance bottlenecks and security vulnerabilities in real time before they impact end users.
What do you dislike about the product?
The licensing and pricing model can be steep and complex, especially for large enterprise scale. Consumption-based pricing via Davis Data Units (DDUs) can sometimes make cost forecasting unpredictable as log ingestion or telemetry data increases unexpectedly across large environments.
What problems is the product solving and how is that benefiting you?
Dynatrace solves the challenge of maintaining full-stack visibility across complex, multi-cloud infrastructure. Before using it, tracking down issues across microservices required manual log correlation across multiple tools. With Dynatrace, automated continuous discovery and Davis AI pinpoint the exact root cause of incidents in real time, drastically reducing MTTR and minimizing downtime for critical applications.
Vishnu Vardhan N.
Comprehensive Observability, Excellent AI, but Complex Pricing
Reviewed on Jul 15, 2026
Review provided by G2
What do you like best about the product?
I like the AI-powered root cause analysis feature through Davis AI, which helps quickly identify and troubleshoot issues. I also appreciate the end-to-end observability it provides across applications, infrastructures, logs, and user experience all from a single dashboard. Features like automatic dependency mapping, real-time monitoring, and proactive alerting make it easier to detect problems early and reduce resolution time. Dynatrace gives excellent visibility into system performance and helps improve reliability and user experience.
What do you dislike about the product?
I find the licensing and pricing model complex, and it's sometimes difficult to predict as our environment scales. There's a learning curve for new users due to the large number of features and configuration options. Creating highly customized dashboards and reports can sometimes be less intuitive than expected. Improving ease of use, reporting flexibility, and cost transparency would definitely make the overall experience better. The main areas of improvement are pricing and transparency, ease of onboarding for new users, and more intuitive dashboard customization. While the platform is very powerful, simplifying access would enhance my user experience.
What problems is the product solving and how is that benefiting you?
I use Dynatrace for application performance monitoring and infrastructure monitoring. It analyzes logs, detects issues proactively, performs root cause analysis, and offers end-to-end visibility. This helps reduce downtime, improve system reliability, and ensures application health, user experience, and resource utilization are well managed.