Simple onboarding with powerful results
What do you like best about the product?
Support from dynatrace is great.
Ease of deployment in kubernetes means you can focus on cultural changes rather than tech deployment
What do you dislike about the product?
Currently migrating from classic apps to new. This can lead to some confusion.
What problems is the product solving and how is that benefiting you?
Allowing default view of services. Giving devs more time to build and less time needed implementing observability
Observability Unbound
What do you like best about the product?
The ease of deployment, coupled with the speed of data becoming workable. In addition, the visualizations allows for near instant impactful reporting to stakeholders at every level.
This, coupled with deep insights into application security, log insights, and code level debugging, make for a powerful cocktail in the observability space.
What do you dislike about the product?
The current ui has many bugs and annoyances that need to be ironed out. In addition, the elimination of management zones is, for lack of a better word, painful. There could have been more consideration for making DQL more user friendly as well. I don't like having to be a DBA to get functionality out of it.
What problems is the product solving and how is that benefiting you?
Pretty much all of our observability and monitoring runs primarily through DT, and it is core to our SRE and Observability practice.
Provides a comprehensive view by integrating with other monitoring systems
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have used the solution for the last four years, just for four years only.
What do I think about the stability of the solution?
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.
What do I think about the scalability of the solution?
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.
How are customer service and support?
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.
How would you rate customer service and support?
How was the initial setup?
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.
What was our ROI?
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.
Which other solutions did I evaluate?
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.
What other advice do I have?
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.
One of the best Monitoring tool
What do you like best about the product?
Dynatrace offer all-in-one monitoring functionalities and is very easy to set up as well. It has AI for anomalities detection and is very easy to integrate accross different clouds, k8s, code etc. The customer support is also very good, eager to help in all ways possible.
What do you dislike about the product?
Dynatrace can be expensive especially for startups. It stores lots of different type of data, making it little complex to find out what we exactly need. It also have overwhelming features making it hard for new users to get in.
What problems is the product solving and how is that benefiting you?
Dynatrace provides a platform for full system monitoring inclduing websites, cloud infra, databases, containers all at one place. The AI integration also helped with faster anomaly detection, and helping in RCA.
Excellent observability tool
What do you like best about the product?
Easy to use by novice engineers
Configurability
Dependendability
What do you dislike about the product?
It gets slower over time
Upgrades in version are not backwards compatible
What problems is the product solving and how is that benefiting you?
Enterprise monitoring
A better application stack view
What do you like best about the product?
Dynatrace is good with detecting issues in realtime and notifying. I like the fact that you can see all impacted components using the map.
What do you dislike about the product?
I just do not like the pricing structure. the charge is per component enrolled
What problems is the product solving and how is that benefiting you?
Dynatrace has helped us to have a realtime view of issues on our Banks MobileApp. We can now observe degradation and start troubleshooting to resolve before customers begin to call in. With the use of the relationship map, you can actually tell which other services will be impacted
expert
What do you like best about the product?
ts AI-powered insights through Davis AI, which automatically identifies root causes of performance issues, saving time on troubleshooting. Additionally, its full-stack observability provides visibility across all layers of infrastructure and applications, ensuring proactive issue resolution. The real-time monitoring and ability to scale in complex environments—whether cloud, on-premise, or hybrid—makes it a powerful tool for optimizing both performance and user experience.
What do you dislike about the product?
it's easy of implemmentation and using and easy of integration with multiple platforms
the UI may feel overwhelming for users unfamiliar with full-stack monitoring platforms. Lastly, customization options for dashboards and reports, though powerful, sometimes require more flexibility.
What problems is the product solving and how is that benefiting you?
Dynatrace helps solve problems related to application performance monitoring, infrastructure visibility, and troubleshooting in complex environments. It identifies bottlenecks and root causes of performance issues through AI-powered insights, which benefits users by reducing downtime, improving system reliability, and optimizing user experiences. For businesses, this means faster issue resolution, increased efficiency, and better decision-making based on real-time data. It also simplifies the management of large-scale, multi-cloud, or hybrid infrastructures, ensuring seamless performance across different environments.
Dynatrace review
What do you like best about the product?
Automated instrumentation and the AI powered diagnostics, discovering of vulns at realtime and the end to end infra visibility
What do you dislike about the product?
May have issues collecting data from certain legacy systems
What problems is the product solving and how is that benefiting you?
Lack of end to end visibility where dynatrace provides full visibility to apps and services
Used for end-to-end monitoring of cloud and on-premises infrastructure and applications
What is our primary use case?
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.
What is most valuable?
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.
What needs improvement?
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.
For how long have I used the solution?
I have been using Dynatrace for six years.
What do I think about the stability of the solution?
I rate the solution’s stability a nine out of ten.
What do I think about the scalability of the solution?
I rate the solution’s scalability an eight out of ten.
How are customer service and support?
The solution's technical support is very good and very much available.
How would you rate customer service and support?
How was the initial setup?
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.
What was our ROI?
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.
What's my experience with pricing, setup cost, and licensing?
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.
Which other solutions did I evaluate?
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.
What other advice do I have?
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.
Enhanced transparency and comprehensive insights with customizable observability
What is our primary use case?
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.
How has it helped my organization?
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.
What is most valuable?
The observability provided by Dynatrace is extremely valuable. It allows us to achieve transparency and gain comprehensive insights into our operations.
What needs improvement?
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.
For how long have I used the solution?
We have three years of experience working with Dynatrace.
What do I think about the scalability of the solution?
The scalability of Dynatrace is extremely easy.
How are customer service and support?
I cannot provide specific details about their technical support as I am not in charge of that aspect.
How would you rate customer service and support?
What was our ROI?
Our company adds substantial value to the solution, making the pricing fair and providing significant value-added services to our clients.
What's my experience with pricing, setup cost, and licensing?
The shift to a consumption-based pricing model from a licensing model is something new. Customers need to adapt to paying per consumption.
What other advice do I have?
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.
