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 Traffic Visibility
Complete visibility of network traffic flow from container to cloud, on-premises, internet, and uncontrolled network segments with real-time operational intelligence
Cloud and Multi-Cloud Monitoring
Unified monitoring across AWS regions, multiple cloud providers, on-premises infrastructure, and internet with VPC traffic analysis, Kubernetes cluster visibility, and application dependency tracking
Synthetic Monitoring and Performance Testing
Synthetic monitoring capabilities with global public agents and support for private agent deployment to detect performance issues, test autonomous scenarios based on real traffic patterns, and monitor SaaS application performance
DDoS Detection and Mitigation
Security features including DDoS attack detection and mitigation, botnet identification, threat analysis, BGP hijacking prevention, and route leak detection
Network Telemetry and Metrics Collection
Integrated collection and analysis of polled and streaming metrics from network devices with support for telemetry data processing, VPC logs analysis, and performance measurements to generate actionable intelligence
Excellent Support, but Dynatrace Can Feel Overwhelming Without Clear Best Practices
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
The best part of Dynatrace is the way I’m able to interact with the sales, technical, and support staff. There has never been a time when my concerns weren’t addressed or help wasn’t offered.
What do you dislike about the product?
The Dynatrace platform feels overwhelming because of everything it can do. I don’t feel that best practices and cost efficiency are explained as clearly as they should be for administering the platform.
What problems is the product solving and how is that benefiting you?
Dynatrace provides visibility into APIs and connections with third-party integrations, helping me see the real bottlenecks. This has been beneficial in reducing the time it takes to identify and resolve issues.
abhishek c.
Powerful Correlation, Visibility, and AI Use Cases with Dynatrace
Reviewed on Nov 04, 2026
Review provided by G2
What do you like best about the product?
Correlation, Visibility, AI use Case, Professional services
What do you dislike about the product?
Some time I feel Dynatrace is bit costly
What problems is the product solving and how is that benefiting you?
A single monitoring tool for entire infrastructure/Application
Financial Services
Great Log Insights and Visualization
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
Log insights and visualisation.
What do you dislike about the product?
Non availability of more granular visualization, typically in in between milliseconds
What problems is the product solving and how is that benefiting you?
With the help of Dynatrace, log ingestion and visualization have made monitoring and troubleshooting easier for complex environments.
reviewer2913099
Faster root cause analysis has improved incident resolution through deep tracing and business events
Reviewed on Oct 19, 2026
Review provided by PeerSpot
What is our primary use case?
As a site reliability engineer, my main use case for Dynatrace is troubleshooting, configuring alerting, and setting up Dynatrace synthetics and business events to troubleshoot faster for production issues.
A specific example of how I use Dynatrace to troubleshoot or solve a production issue is by immediately looking at distributed tracers and then solving production issues by creating notebooks with Dynatrace Query Language to examine specific business events related to a transaction, tying the trace ID to the business events to get more information.
How has it helped my organization?
Dynatrace has positively impacted our organization by allowing us to get to root cause analysis much faster, and it has directly impacted our organization's speed at mean time to repair.
What is most valuable?
The best features Dynatrace offers are in Grail; having everything in Grail makes it so much easier to not need to click many buttons and be able to pull a very deep level of transaction information just through the query language.
Grail has specifically helped me with my day-to-day work and troubleshooting by enabling me to create general queries that tie between services, as well as gather metadata about those services such as release events, which has really helped us make custom notebooks and custom dashboards that allow us to get better use of Dynatrace with all the features it provides.
What needs improvement?
Dynatrace can be improved in that DORA metrics can still be improved; there is some beta work happening, but being able to tie in our CI events directly with Dynatrace through webhooks still needs work, and I know it is still being refined. Production troubleshooting is great, but also being able to tie back to the work done with user stories, built in the box, would be great.
For how long have I used the solution?
I have been using Dynatrace for the last three and a half years.
What do I think about the stability of the solution?
Dynatrace is stable.
What do I think about the scalability of the solution?
Dynatrace's scalability is very good.
How are customer service and support?
The customer support for Dynatrace is very good. I would rate the customer support on a scale of one to ten as a nine.
Which solution did I use previously and why did I switch?
I previously used Splunk as a different solution, and I switched to Dynatrace because Dynatrace has more in-house capabilities, better dashboarding, and ease of use.
Which other solutions did I evaluate?
Before choosing Dynatrace, I evaluated other options, specifically DataDog, but found it too expensive.
What other advice do I have?
I rate Dynatrace overall a nine out of ten because there is always something you can improve on. Regarding Dynatrace's AI capabilities, I believe that its governance and security are pretty good; we work in a very compliant space and Dynatrace has checked all the boxes regarding legal, so I believe that they are ethical with governance and security.
Regarding Dynatrace's AI capabilities, it still needs work, but so far its accuracy and reliability of output have been great. My advice for others looking into using Dynatrace is to not knock it till you try it. My overall product rating for Dynatrace is nine out of ten.
John Holland
Targeted observability has transformed incident response and now protects customer journeys
Reviewed on Oct 19, 2026
Review from a verified AWS customer
What is our primary use case?
Dynatrace encompasses several areas for our organization, including incident management and release management. We also use it for marketing purposes to reduce MTTD and MTTR. We use it for user journey mapping so we can understand how our customers are experiencing our portals. We have a driver to never have a customer tell us when we have an issue again, and we have achieved that by using Dynatrace with targeted alerting and a robust service management process to support it.
Our use cases focus on reducing customer outages, anticipating customer issues, fixing them before they become problems, supporting digital marketing purposes, managing incidents, and managing releases, alongside fixing some legacy issues encountered once we implemented Dynatrace. Lifting the lid on applications helped us see where we were losing business, leading to a positive return on investment. Currently, our main use case is for integration, release, incidents, and more on digital journeys.
A specific example of how Dynatrace has helped in one of those areas involves using BizEvents to map key pages and transactions within our portals, which helps us understand how long it takes for a customer to get a quote, update a quote, or do a mid-term adjustment. We can also look at the quote to buy conversion ratio...
How has it helped my organization?
Dynatrace has positively impacted our organization with metrics reflecting a 60% reduction in MTTD, and we continue to reduce our MTTR, aiming to bring it down another 30 or 40%. By addressing some legacy issues early on, determined to hold a quote value of around a million pounds a year, we have seen significant customer experience improvement regarding the quote journey...
What is most valuable?
The best features that Dynatrace offers, in my opinion, include distributed traces, integration with ServiceNow and Jira for automatic ticket logging, and real user monitoring, which provides significant understanding of how our customers feel when using our systems. I also find logs extremely useful for troubleshooting; logs provide brilliant information...
What needs improvement?
Improvement suggestions for Dynatrace are challenging, given its complexity and capabilities. However, I do find that some documentation can be quite tricky to read. I believe that enhancing the documentation and providing how-to videos would be beneficial...
For how long have I used the solution?
I have been using Dynatrace for two and a half years.
How are customer service and support?
I present a nine rating for Dynatrace due to several factors; primarily, the functionality within the portal is outstanding. Dynatrace support, particularly with the ESS agreement, is incredible...
How was the initial setup?
In our organization, we deploy Dynatrace as a SaaS solution, complemented by an ActiveGate server on our private cloud.
What was our ROI?
We measure the reduction in MTTR and the impact on revenue by analyzing our ServiceNow statistics. We observe the time a ticket is opened and when it is closed...
What's my experience with pricing, setup cost, and licensing?
We acquired Dynatrace through SCC. Our environment comprises two clouds: AWS and Azure.
What other advice do I have?
My advice for others considering Dynatrace is to embrace the enterprise support agreement and engage with your consultants early on, as you will realize value quickly...