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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Google Cloud Operations Suite
Score 7.4 out of 10
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The Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.
Honestly, because it is from Google, we also mainly chose this product on the recommendation of other friends and businesses, and because of its reliability, security and ease of access. It also has excellent technical support and warranty. The staff is fast and super efficient …
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.
Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.
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.
It is also a great problem detection tool, and this is extremely important for General Motors.
The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
- containment of hosts;
- cloud provider limitation;
- hardware wear.
And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
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.