Dynatrace (Private Offer Only)

My main use cases with Dynatrace  include a plethora of functionalities. Real user monitoring (RUM) is being used extensively. Synthetic monitoring is used extensively. We use Kafka monitoring. I have awareness of how AWS  metrics are being sent, whether it's a direct integration or only account-level integration. We use it significantly.

Some of the best features I appreciate about Dynatrace  include synthetic monitoring, where you can get into HTTP level monitoring and click browser monitoring, which is available in both Splunk and Dynatrace. This is very useful in our environment. Apart from that, mobile-based monitoring, which we have embedded in some cases with the apps that are connected, is also beneficial for monitoring APIs.

Synthetic monitoring has had a significant impact on my ability to track performance proactively. It has been very useful. It serves two aspects: synthetic monitoring is primarily for the front-end side where availability and tracking whether the website is running, and we can verify if users are able to log in and see things running.

From the infrastructure point of view, the availability of the infrastructure at AWS  level with Kafka, EC2  instances, and Lambda functions is covered for the monitoring system and infrastructure team. We are catering to both audiences.

Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.

The comprehensive application topology visualization in Dynatrace, called Smartscape, has benefited my understanding of system dependencies. Even though Splunk has something similar, since we are using Dynatrace primarily for observability, we can get top-to-bottom visibility, from infrastructure to network to application front end. When integrated based on application requirements, we get a good grasp of what's happening during issues.

Dynatrace could be improved primarily with regards to pricing. These tools are expensive. They have been the pioneers from inception, and they remain at the top of the Gartner chart. The quicker we learn, the better we can serve is what the team believes.

Learning is another aspect that needs improvement, specifically how the tools can educate users. Education needs to be tailored differently for front-end user monitoring, infrastructure-based monitoring, and centralized monitoring teams. The segregation of educating how to use the tool is something we have recommended to all tools teams and product owners.

They could help with more learning capabilities. A monitoring tool will be used by different types of users. One is from the infrastructure point of view. Another is an application developer who wants to see if strings are getting attached and code-based applications are being stitched together. A front-end monitoring person or business wants to know about website and infrastructure availability, and what kinds of dashboards they can create for their comfort. That's how a tool gains visibility and inclusiveness. It depends on the owner of the tool to address these different aspects and let users choose their preferred way to use the tool.

I have nearly six years of experience with Dynatrace.

Regarding the initial setup, while I can't speak for how my company implemented it overall, I can say that the Dynatrace setup is good enough, not an issue. Integration with the cloud is straightforward. In cases of new aspects of cloud, some drilling is needed to determine installation possibilities. That's a challenge in the cloud - whether to integrate with the cloud directly or opt for agent installation. These issues arise when new features or services are enabled in AWS; parallelly, Dynatrace and Splunk and these tools need to adapt to see if these services can be monitored. Users start asking if we can enable new AWS features in our tools. This synchronization should happen at the back end; users should not be involved in that process.

I think Dynatrace's customer service and technical support for this product is good. Out of five, it rates nearly four. This is good enough to expect.

Positive

The monitoring team is able to work without any user intervention, which is appreciable. Comparing to other tools such as Splunk, CloudWatch, or other tools which I have researched for RFPs, I feel DataDog is good enough. However, based on the experience from my users, Dynatrace is more flexible for them.

We deal with APM  solutions and monitoring or logging solutions by having Splunk already in place in my environment, along with Dynatrace. We have other tools such as CloudWatch.

I have dealt with Splunk on-call and have all kinds of experience. I have used the PeerSpot platform extensively, and it does help significantly. I will be happy to provide individual product reviews.

On a scale of 1-10, I rate Dynatrace an 8 out of 10.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

Whenever we do any kind of performance or load testing with Dynatrace , we monitor the environment using service dashboards, deep distribution tracing, analyzing response time hotspots, method hotspots, and understanding the service flow while correlating all this with our load testing results and sharing the feedback with the stakeholders.

We don't use anything related to CI/CD on Dynatrace , but we use it through LoadRunner  Enterprise.

I find the classic service analysis, service analysis, distribution tracing, and the technology stack that it shows most valuable about Dynatrace, along with the Scape View. I'm unable to pronounce the exact name, but there is a Scaped View, Scaled View, or Scape View where I can see all the environments and how they are configured.

We use AI-powered anomaly detection from Dynatrace, specifically Davis AI log analysis.

The effectiveness of Dynatrace's user experience monitoring is very useful.

I'm using Dynatrace for full-stack monitoring.

I think Dynatrace almost looks good, but I believe we should improve how we can integrate with AI. I'm specifically looking at AIOps  and how we can monitor AIOps-related things, considering we have LLMs and all that stuff. I don't see those monitoring capabilities for NVIDIA chips, NPUs, GPUs, or anything similar, and maybe it has them, but unfortunately, I lack the knowledge to understand where I can view all those things.

I've been working with Dynatrace for nearly five years.

I would rate the stability of Dynatrace approximately between nine and ten.

The ability to scale and expand in Dynatrace rates around nine to ten altogether.

For Dynatrace tech support, we have a dedicated team here, which is easily reachable, so I rate it around nine to ten.

Positive

I'm not using AppDynamics currently. We used to use it, but now we are using Dynatrace. I moved to Dynatrace completely from AppDynamics.

Dynatrace is basically set up by a Dynatrace admin. OneAgent is installed on one machine, and the entire thing gets monitored through Dynatrace.

JMeter  and BlazeMeter  are the other vendors I'm working with. I'm only using JMeter  from Apache, not using Tomcat  or something similar.

The main benefit of Dynatrace is that it's easy to understand where exactly the issue is. When you see the PurePath, you know which particular machine or hop the application is having an issue with, allowing us to easily drill down to what is happening with the application. If something is happening on the UI, you want to understand what's wrong with the request, and to do that, you need to analyze Dynatrace to easily understand the root cause and where exactly you're seeing the issue.

The Dynatrace license is at the client's location; the client has purchased it, and we just use it.

Without any doubt, Dynatrace is preferable compared to AppDynamics. The main reason why Dynatrace is better is that you can see everything in one go; it includes log analysis, AWS  analysis, component level analysis, PurePaths, distribution tracing, real user metrics, mobile metrics, all in one particular tool, one solution.

On a scale of 1-10, I rate Dynatrace a 10.

On-premises

Amazon Web Services  (AWS)

Our primary use case for Dynatrace  is full-stack monitoring. We use it to monitor the performance and availability of our applications, infrastructure, and services. It helps us quickly detect issues, analyze user behavior, and perform root cause analysis using AI-powered insights.

Dynatrace  has significantly improved our organization by providing full-stack visibility and automated root cause analysis. It helps us detect and resolve issues faster, reduce downtime, and improve user experience. The OneAgent simplifies deployment, and the AI-powered insights allow our team to focus on innovation instead of firefighting.

We use Dynatrace full-stack monitoring because it allows us to trace issues across the entire stack — from user interactions to backend infrastructure. It’s very effective for identifying where problems occur, making it highly valuable for end-to-end observability.

Dynatrace's user behavior monitoring and analysis also works well. It provides powerful insights into user interaction patterns, session behavior, and user experience metrics, which help us understand how our applications are being used.

One of the features I appreciate most is the OneAgent. We only need to install a single agent per host, and it automatically collects metrics, logs, traces, events, and more — without requiring multiple separate tools or manual instrumentation.

We also benefit from Dynatrace’s AI-powered anomaly detection. The Davis AI engine detects unusual patterns, performs root cause analysis, and sends smart alerts — all automatically, which significantly improves our incident response time.

More customizable dashboards

Better log search and retention features

Easier tagging and permission management at scale

Improved mobile app monitoring support

reduction in costpricing 

I have been working with Dynatrace monitoring and other monitoring systems for about three years. During this time, I’ve gained hands-on experience with full-stack observability, user behavior analysis, anomaly detection, and automated root cause analysis using Dynatrace.

Dynatrace is very stable and reliable. Its OneAgent runs with minimal impact on system performance, and the platform itself experiences very few outages. Regular updates and proactive monitoring by Dynatrace ensure high availability and consistent performance, which is critical for our continuous monitoring needs.

Dynatrace scales very well across different environments, from small setups to large enterprise systems. Its automatic discovery and instrumentation make it easy to manage thousands of hosts, containers, and services without significant overhead. The platform handles high data volumes efficiently and maintains performance, making it suitable for dynamic cloud-native and hybrid environments.

My experience with Dynatrace customer service and support has been positive. The support team is responsive and knowledgeable, providing timely assistance for technical issues. Additionally, the available documentation and community resources help resolve many questions quickly. Occasionally, complex issues may require escalation, but overall, the support experience is reliable.

Neutral

We previously used a full monitoring system with Zabbix , which worked well but required a lot of manual configuration and maintenance. With Dynatrace, we benefit from extensive automation tools that significantly reduce manual effort. This automation is a key difference that sets Dynatrace apart from Zabbix  and other monitoring solutions.

The initial setup of Dynatrace is generally straightforward thanks to the OneAgent, which automates discovery and instrumentation across the environment. However, configuring advanced features, custom dashboards, and integrations can be more complex and may require some learning and planning. Overall, the automation significantly reduces manual effort compared to traditional monitoring tools.

Dynatrace is ideal for clients who need advanced, automated monitoring. However, some clients may not fully understand its value and might not need to invest in a high-end solution if their requirements can be met with free tools like Zabbix.

The SaaS version of Dynatrace is typically suitable only for proof of concept (POC) purposes. When customers commit to Dynatrace, they usually opt for the managed version for production use.

Overall, I would rate Dynatrace 9 out of 10 as a product solution.

On-premises

Microsoft Azure 

I see you did the research into Dynatrace  and OpenTelemetry  on the website. Are you an expert or user of this product? Let me confirm that you say you're just a user of Dynatrace . Are you a customer? We have your email as .

Could you mention some advantages of this product?

Some new features could be added to Dynatrace to make it better. Can you mention some examples of what new functions can be added to Dynatrace to make it better?

What about maintenance? Is it easy to support and maintain the product?

What about the stability of Dynatrace? Do you think the solution is very stable, or maybe you see some glitches or latency issues sometimes?

What about the scalability of Dynatrace? Do you think the solution is scalable or maybe there are some limitations on the scalability part?

What rating would you give to technical support from Dynatrace? 1 is bad support, 10 is very good support?

Positive

What about installation? Is it easy to install, or can installation be difficult?

Does the solution save you time and money? Is it effective for time and money or not effective?

If I would ask you to rate price from 1 to 10, where 1 is cheap and 10 is expensive, how many points would you give to it? Is price the main problem or do you have some other problems with the product?

Buenos días. I apologize for interrupting. This position is for an IT Project Manager. As for this review, we will publish it on the website on peerspot.com in written or audio formats. If you want to stay anonymous, your name will not appear with the review. You will get notifications and the use of the review is subject to PeerSpot's terms of use. You can access it at peerspot.com/tos. We can send you an email with all of this if you want to. The reviewer gave this solution a rating of nine out of ten.

We decided to integrate Dynatrace  primarily to monitor the availability and latency of our applications. We have a significant number of applications, and we needed a system that could manage their availability. Previously, we lacked evidence to show whether an application was available when a customer raised an issue. With Dynatrace , we can verify this information, even after a month.

Dynatrace offers exceptional features compared to other monitoring tools. It allows the creation of different dashboards related to application availability and server latency. The integration with Power BI for generating detailed reports is a standout feature. Furthermore, the automation of alert management, which integrates with ticketing systems to automatically raise and assign tickets, is a significant advantage over tools like Centreon . Dynatrace also integrates with AI tools to generate business reports.

When making comparisons with other tools, Dynatrace stands out, but it is a bit complex to understand and implement on servers. There are occasional issues with language and text, which can be frustrating. Despite this, it remains superior to Centreon .

I started using Dynatrace six months ago.

There have been no stability issues with Dynatrace. It is well-maintained and, being supported by cloud infrastructure, we have experienced no interruptions.

We have faced no scalability or reliability issues with Dynatrace. Everything functions smoothly.

The technical support from Dynatrace is excellent. Recently, we had an issue, and the support team resolved it within 20 to 25 minutes. Their support is very fast and effective.

Positive

In the past, I used Icinga  and Centreon. Compared to these, Dynatrace remains the top priority. Its features surpass the typical expectations for monitoring tools.

The implementation of Dynatrace was handled by a different team, so I don't have insights into their process.

The integration of Dynatrace has allowed us to monitor application stability and create business reports. However, I haven't quantified the ROI.

Dynatrace is known to be costly, which delayed its integration into our system. However, the advanced features it provides are unmatched, making it a valuable investment for organizations with a higher budget.

I highly recommend Dynatrace for organizations with a significant budget because it decreases resource costs and manpower. It is a versatile tool for IT organizations, providing features that are beneficial for comprehensive application monitoring. I rate Dynatrace a 9 out of 10.

Public Cloud

Amazon Web Services  (AWS )