Dynatrace is an APM scaled for enterprises with cloud, on-premise, and hybrid application and SaaS monitoring. Dynatrace uses AI-supported algorithms to provide continual APM self-learning and predictive alerts for proactive issue resolution.
Dynatrace UI seems better compared to splunk also DT gives better flexibility in terms of plans and costs. For logging monitoring we are using splunk and splunk is better for that purpose. But hosts and server monitoring and alerting perspective Dynatrace is better. Dynatrace …
Dynatrace gives the overall picture of the application usage and performance by default with minimal configurations whereas in Datadog a lot of manual intervention is required to analyze the application performance and troubleshooting the issues. Dynatrace is user-friendly when …
Dynatrace has three key points: ease of deployment, ease of access and a very low learning curve. Also the info provided by the DT agents are easy to understand and relate to root cause. Also the user interface is very simple and can be configured/shared to provide the data to …
We selected Dynatrace because it is much more modern and depends on AI, on auto-discovery, and other features, making it really a next-gen monitoring solution. It is not easy to on-board to Dynatrace, as it has an extremely steep learning curve. It is also possible that other …
Dynatrace is far superior to the other products. The single pane of glass and ease of use are why we chose Dynatrace.
Verified User
Engineer
Chose Dynatrace
Some of these tools we use alongside Dynatrace, and others we chose Dynatrace over. Since Ruby is not a Dynatrace supported language, we use New Relic to monitor those applications. We are an AWS shop so naturally, we use CloudWatch metrics for things like auto-scaling where it …
I have used a plethora of Application Performance Management (APM) tools, all have their niche. Dynatrace provides the best-in-class experience for support, operations, and platform engineering teams. In addition, access for my Enterprise Development teams has been critical. …
BMC was only a basic APM with not much detail or drilling into the issue. It only showed there was a problem with the host. Before Dynatrace, to troubleshoot an issue we had to log into different consoles for different applications and review logs. Now with a quick visual and a …
The Dynatrace product was much more feature-rich than New Relic. We went through multiple proofs of concepts with each vendor using our actual system. We found that both did some things the same but in other areas, the Dynatrace product was much better. There was a black box …
Dynatrace is much more expensive than pingdom, but it does a better job of doing synthetic monitors and the credential store is much better. When it comes to availability it does a better job of creating of synthetic monitors and it can create a credential store which is a big …
I have not evaluated any other monitoring products. Our company has evaluated other products that have not stacked up against Dynatrace. Dynatrace has deeper monitoring than others and provides excellent alerting capabilities. Dynatrace was selected for those features as well …
Dynatrace is well suited to a number of tasks. It is important to determine who the end users are and gather good information to tailor their experience accordingly. For instance, business/marketing should not have access to some of the more technical data, and business metrics can be a distraction for IT operations personnel.
We loved Dynatrace's ability to show the data flow - from the front end points through the back end points straight to the database and various API's. It was advanced in its data visualization. This is useful for debugging - showing when/where the errors are. It can even enable non-technical individuals in the corporation to help debug
Dynatrace has some great highly customizable integration options as well as monitoring. You can configure your layout & integration options to create custom monitoring alerts for your applications performance. Further you can increase the extensibility of using a REST API on your architecture.
Some advanced dev-ops systems are utilizing Kubernetes/docker aswell as Node.JS - Dynatrace was able to log and help understand all of our dev-ops needs. It gave us native alerts based off of deviations from the baseline that we set during initial configuration. These metrics are priceless.
Dynatrace does not monitor easily on a C-based application.
The way DPGR is addressed by Dynatrace is not very complete, and not clear. One thing is to mask the IP and request attributes but is not enough, the replay session feature is great but raises serious questions about user tracking.
We have already renewed our purchase with the company. They make it easy for us to get a temporary license for our contingency site that is only used for testing twice a year. We are expanding our license with for this tool. We find it very useful and will renew it again.
I really liked how easy it was to deploy the SaaS vesion of Dynatrace in our environment. We have a lot of tools that have plenty of capability but they don't get a whole lot of use because they would require someone who is an expert to use them. With the SaaS version of Dynatrace, all the admin functions are taken care of by the Dynatrace team (updates, patches, new features, bugs, etc.) and our small shop can focus on getting valuable metrics, alerts and issue resolution from the product.
Given that Dynatrace has become an informal industry standard, the plethora of information available on forums is massive. Most problems or roadblocks you come across are most likely (almost certainly, in fact) already solved and solutions available on these forums. The tech support at Dynatrace is also quite good, with prompt and knowledgeable people at their end.
Synthetic Monitoring automatically does what other products do only through the use of other tools or through the development of user applications that still have a high cost of maintenance. The other products are not immediately usable and require many customizations. Through the use of configuration automatisms, you can be immediately operational and, in our case, we detected several imperfections in the applications.