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.
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ServiceNow IT Operations Management
Score 8.2 out of 10
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Built on the Now Platform, the ServiceNow IT Operations Management bundle is designed to help users gain visibility across infrastructure and apps, maintain service health, and optimize cloud delivery and spend.
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 have taken advantage of the single platform for different IT disciplines over the past few years and now we are doing more and more with the integrations. Our teams are looking at the same information which stops the blame game a lot. Their newest AIOps has been a very nice surprise as we've tried another tool for about 2 years and it required us to hire outside consultants to try and build what we needed. So far, ServiceNow found a lot of things we didn't know to look for. It's not perfect in fixing everything, but really has provided a lot of visibility and troubleshooting.
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.
The centralized dashboard allows us to keep track of production incidents as they come in, and allow us to view and sort them based on severity, making sure it's tracked
The read/edit access and role granting process is straightforward, meaning that only the right people can change /update the statuses of incidents without unintended consequences
With AI driven classification, it's easy to track outage impacts
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.
BMC was our legacy system before deploying ServiceNow. It's time had passed for us as it couldn't really keep up with our move to cloud and the number of services we were using. The cost kept getting higher, especially with all of the customization we had to do. Over the years, just got unwieldy. We still use Splunk for raw data and log analysis, but we upgraded to ServiceNow event management and the Loom system log analytics. We had Loom before ServiceNow bought them, but it's nice it's all on one platform for us. Splunk at times had so much info, we didn't know where to start, but ServiceNow gives us a great starting point.
