Dynatrace's main use case for our organization is incident management, primarily driving alerts, traces, and incident management for production servers on both Linux and Windows 2016 servers.

A specific example of how I use Dynatrace for incident management is that it provides our support team members with alerts if a certain service on a server is not working, there is a failure of a particular service, or the server is not performing as needed. We receive an incident for that and trace the server's services uptime using Dynatrace, which helps us diagnose the issue for both Linux and Windows servers.

Our main focus is maintaining the servers' uptime, and Dynatrace helps us minimize server downtime while providing applications and other services to our end user team.

Dynatrace's best features include alerts and the ability to monitor server health, such as CPU utilization, memory utilization, disk space utilization, as well as network services, and it also helps with application performance monitoring (APM).

I find server health check resources utilization, network monitoring, and APM most valuable for our team, as it helps our other cross-functional teams that require that data to track network health and application health. Dynatrace helps all of us in development and operations support, which makes it a really valuable tool.

Dynatrace has positively impacted our organization by helping us reduce downtime, as it was much higher before using Dynatrace. We are now able to minimize downtime for the servers and applications and easily trace and diagnose issues at the infrastructure level using Dynatrace, which is definitely helpful for enterprises using IT systems.

I give it a nine because the one percent improvement is required in itself, since if I provide a ten, then there is no room for improvement.

Dynatrace provides regular upgrades as a software used to provide server health checks, network monitoring, and application performance monitoring, so the team looking into Dynatrace's development provides regular updates. I don't think I can provide any improvements to Dynatrace as an end user.

I have been using Dynatrace for the last two plus years.

In my experience, Dynatrace is very stable and we don't need to do much additional work once it is installed and set up along with its configuration. There is nothing additional to manage about Dynatrace.

Dynatrace is scalable.

Customer support for Dynatrace is well-equipped, and they try to resolve queries if we contact them with any particular issue. They provide quick resolutions.

When I joined my client project work, they were already using Dynatrace, so I don't have any idea of what they were using before that.

Time is definitely saved with Dynatrace, as without it, it is very difficult for support team members to find out where the exact fault has occurred. With Dynatrace, we receive direct alerts on our Dynatrace console, allowing for much faster resolutions, so it definitely saves cost, efforts, and time.

Downtime has been reduced by almost thirty to forty percent in tracking and resolving issues, as Dynatrace logs, alerts, and traces help us go straight to the issue and try to fix it. Regarding cost savings, it has resulted in cost savings of mostly around twenty to twenty-five percent.

I don't have any idea about whether my organization evaluated other options before choosing Dynatrace.

I will definitely recommend Dynatrace as an APM, server health check, and network performance monitoring tool to be used by large-scale or mid-range organizations. I have no additional thoughts about Dynatrace. My review rating for Dynatrace is nine.

I currently work as a Principal Consultant specialising in observability platforms at a technology consulting firm, AI OK. My role involves providing expert consulting on APM and observability tools, including Dynatrace, Datadog, and Splunk.

Previously, at Infosys and Ericsson, I led initiatives focused on observability platform adoption. Since February 2020, I have been designing and implementing centralized log management and observability solutions, with extensive hands-on experience in Dynatrace SaaS for performance monitoring and service reliability.

The problem detection and problem lifecycle presentation in Dynatrace is excellent. For example, when traffic increases from ten requests per minute to fifty requests per minute or even one thousand to twenty thousand requests per minute, I can see how the services' response time changes according to the traffic change and what the CPU time is for that particular request or API. This gives insight into all the components responsible for response time.

Another valuable feature is the ability to compare performance data from one week earlier or from the same time window on a previous day. This performance comparison capability is very helpful.

The ease of use is remarkable. While we have similar compute monitoring on Azure side such as Azure Monitoring and Azure App Services with compute utilization, Dynatrace links compute with services and services with code and other components. This makes problem management, alert management, and identifying what needs to be fixed for the development team much easier.

Through Dynatrace feedback, we were able to figure out bottlenecks, plan performance user stories, optimize execution time, and make numerous corrections. The problem lifecycle management is improved, and MTTR is very positive. For MTTD, or mean time to detect, it was previously taking hours and hours, but after implementing Dynatrace, even the L1 team can help detect and pinpoint bottlenecks. Not only has the time decreased, but the accuracy and quality of monitoring have improved significantly.

Problem detection has improved very positively, and the quality of monitoring has improved with the help of Dynatrace. We are saving time, saving workforce, and visibility has increased. Both technical and non-technical teams have greater visibility into how the application is performing.

One significant complaint I have raised with Dynatrace as a consultant is the availability of raw data for logs. While this capability exists, it is quite costly. The free allocation is five gigabytes, but comparing this with other tools such as DataDog, Splunk, or New Relic, the raw data availability on Dynatrace and the export of reports and UI aggregation features could add more value if enhanced.

Cost is a differentiator for Dynatrace. Additionally, security is becoming a feature, and AI-enabled security capabilities will add more improvement areas for Dynatrace.

Feature-wise, Dynatrace rates ten out of ten. However, when comparing feature versus cost, it rates eight out of ten. Not every client is one hundred percent on public cloud. There are hybrid scenarios with some on-premises and some private compute environments. In cases where compute is more CPU intensive, Dynatrace can be costly. Dynatrace is the best fit for customers using runtime compute, which covers approximately eighty percent of customers.

I have been using Dynatrace since February 2020.

There are no stability issues with Dynatrace. One limitation I found concerns agent installation. Although Dynatrace is a SaaS product with frequent agent management updates, installing the agent across all networks would benefit from more centralized management capabilities on Dynatrace.

Platform engineering and observability represent a journey through various tools. I started with open source and on-premises solutions involving flat file processing with the ELK stack. I then moved to using Azure Monitor, and subsequently adopted Dynatrace because of its focus on performance and APM capabilities. Dynatrace's APM features were highly recommendable, which is why I moved to this solution. Since cloud-native was important, I explored Azure Monitor as well.

The ROI is good. Compared with other tools such as DataDog or New Relic, both have their pros and cons with no complaints. However, Dynatrace is performing very well overall in terms of ROI versus investment.

When comparing tools such as DataDog or New Relic, both have their pros and cons with no complaints. Dynatrace is performing very well in terms of ROI versus investment.

If someone is looking for application fine-tuning and bottleneck identification on the UI side, services side, or network side, and they are using cloud as a platform, Dynatrace is the best tool to have everything in one place. I would rate this product eight out of ten overall.

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.

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.

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 ptorres@bankinter.com.

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?

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.

There are three major things that I look for. The first is that it is undoubtedly tier one, as per Gartner. This lowers the risk of product performance. Dynatrace has a good presence from an APM perspective, application performance perspective, where it can be easily configured.

There are many adapters and solutions available in the market. In every organization, like ours, there are a few more built-in adapters.

From an enterprise perspective, due to the higher cost, higher stability, and several considerations for high-level architecture, I take care of security perspectives, providing a stable solution.

For system integrators, it is good from an operational perspective since there are many SLAs, so larger organizations generally opt for tier one solutions where they can have fewer operational issues, avoiding SLA penalties.

Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems. Importantly, it delivers real-time insights.

Additionally, Dynatrace positively impacts my organization in various ways.

There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.

I have used the solution for the last four years, just for four years only.

Stability depends on the deployment, the person deploying it, and how the configuration is done. Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic. This is a very relative term, and no software can exist alone at ninety-nine point nine percent. If the infrastructure doesn't support it, it cannot exist as standalone. Deployment location, whether in triple nine data centers, double nine data centers, or other types, also matters. If power is lost, stability is affected, depending on how it's deployed.

Scalability is easy. All opportunities work on the agent number and server transactions that need monitoring. If you include those things, some are agent-based, and some are agentless. The monitoring is done based on licenses, like tier or enterprise licenses. It depends on what the client is looking for. If it's an enterprise, increasing the number of instances doesn’t pose problems.

Their support system is good. I would rate them at 9.5 out of ten. People generally don't pursue it since it's a monitoring system itself. They have a good reputation, and the support is commendable. People are helpful, even with delivery and other related aspects. I use their excellent support system.

Anand, this is reflective work. These setups are complex, meaning significant thought is required. It's a relative aspect, however, developers could have clearer insights. Today, products in the market are packaged, just requiring configuration. Collecting logs, tagging events, and other aspects are relatively straightforward and not considered complex.

Determining ROI is subjective. Monitoring is passive, merely aiding business processes and not active within them. ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events. Return on investment in predictive analytics and AI tools is minimal, given the passive nature of these systems.

Clients sometimes opt for alternatives based on budget constraints. If the budget is small, tier two solutions like Elasticsearch may be considered. It varies by location, like in Singapore, where tier two solutions are viable options.

I give the solution nine out of ten. Enterprises typically choose Dynatrace, especially when the IT system budget is around a $100 to $200 million. Investing an additional $120 million makes sense. If your system is worth $50 million, the investment doesn’t exceed 1.2%. ROI considerations are tied to observability, dependent on how the business values these aspects.

We use Dynatrace as an end-to-end monitoring solution to monitor all our cloud and on-premises infrastructure and applications. We use Dynatrace to monitor everything except storage, backup, and network devices. Our e-commerce front-end applications are completely monitored on Dynatrace.

I like the solution's tracing feature. There's a technology called PurePath in Dynatrace that helps us trace the end-to-end request for a service call. It starts tracing or capturing from the moment a user accesses our website, opens the browser, and clicks on login till it reaches our endpoint, the application server with the database server.

It will capture all the traces, including the number of requests, the response time, the number of calls made, the number of errors, and the root cause of each error. Dynatrace provides real user monitoring with APM.

Dynatrace is not great for network monitoring. Network monitoring can be done with a bit of customization. Although it provides end-to-end tracing from server to application, you don't get end-to-end tracing for network devices because it uses the SNMP protocol to discover them.

It will not get coordinated with the Dynatrace agent. That protocol is entirely different. It would be good if Dynatrace could come up with some feature that can help us pull the network tracing along with the application tracing. Dynatrace could improve the visualization part in log analytics because it is not as great as Splunk.

Dynatrace does very good monitoring for Azure cloud monitoring, but for GCP, it is not as great as Azure. The solution should improve from Google Cloud monitoring.

I have been using Dynatrace for six years.

I rate the solution’s stability a nine out of ten.

I rate the solution’s scalability an eight out of ten.

The solution's technical support is very good and very much available.

The solution's initial setup is very simple. You never get any monitoring tool as simple as Dynatrace. You just have to deploy one agent, and it's very straightforward.

Dynatrace is easy to install and manage. It is simple and saves a lot of time. It is quite easy to manage, and anyone with basic IT knowledge can be a Dynatrace administrator.

Dynatrace is an expensive solution.

On a scale from one to ten, where one is expensive and ten is cheap, I rate the solution's pricing a five out of ten.

Datadog is Dynatrace's main competitor. It is cheaper than Dynatrace. However, Datadog's instrumentation is manual and time-consuming, and it requires a lot of effort. In contrast, Dynatrace can be set up in half an hour. Setting up Datadog requires a lot of manual effort and is not as easy as Dynatrace. Presentation-wise, Datadog's look and feel are not as impressive as Dynatrace's.

Technology keeps evolving. In my experience, we recently migrated our application from Azure VM to microservices hosted in Kubernetes. Some requirements were there, especially with GCP. Using the solution does not depend on the company size but on the requirement. Whoever uses an e-commerce ordering website must have Dynatrace. I would recommend Dynatrace to other users.

Overall, I rate the solution a nine out of ten.

We have been working with Dynatrace primarily for observability. We utilize the solution across various industries, including retail, financial services, insurance, and manufacturing. Our focus is to provide comprehensive monitoring and observability as part of our managed service provider (MSP) offerings. We offer extensive customization and value addition to the data provided by Dynatrace.

The solution enables us to deliver tailored services to our customers, including generating customized measurements, KPIs, and dashboards. This enhances our ability to provide detailed and valuable insights to our clients.

The observability provided by Dynatrace is extremely valuable. It allows us to achieve transparency and gain comprehensive insights into our operations.

The pricing model of Dynatrace is somewhat confusing. Currently, the industry is adapting to a consumption-based pricing model instead of a traditional licensing model, which might take some time to get used to.

We have three years of experience working with Dynatrace.

The scalability of Dynatrace is extremely easy.

I cannot provide specific details about their technical support as I am not in charge of that aspect.

Our company adds substantial value to the solution, making the pricing fair and providing significant value-added services to our clients.

The shift to a consumption-based pricing model from a licensing model is something new. Customers need to adapt to paying per consumption.

The value of Dynatrace is in its observability feature, but understanding the pricing model can be intricate. Ensure you have a good grasp of how the consumption-based model works.

I'd rate the solution nine out of ten.