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.
$0
per synthetic request
Grafana Loki
Score 7.9 out of 10
N/A
Grafana Logs (powered by Loki) brings together logs from applications and infrastructure in a single place. By using the exact same service discovery and label model as Prometheus, Grafana Logs can systematically guarantee logs have consistent metadata with metrics. Grafana Logs lets users send logs in any format, from any source so it’s easy to add to existing infrastructure and get up and running quickly. Leverage a wide array of clients for shipping logs like…
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.
Grafana Loki can compile data logs for easy exploration of a service and enable quick troubleshooting and error tracing for engineers who may not have deeper access. However, Loki is dependent on the service logging complexity, which, depending on the logger, may not be robust enough and limit the value offered.
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.
Dynatrace is great to use once you understand how to use it correctly and get used to the layout of it. While I do not actively use it every day, whenever I do use it, I do have to get refamiliarized with it. However, once you have your dashboards setup correctly with the data that you want to see when you first login to Dynatrace, it's amazing.
Grafana Loki makes accessing and viewing service logs easy for engineers who may not be familiar with going into service. However, useability can be limited if engineers are unaware of what the queries should look like or where in the service to direct Loki to look for logging.
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.
First and foremost if Grafana Loki is based on CNCF open source projects so organizations can get freedom to choice to configure it at your own other main thing is Grafana Loki is totally free of cost and we can deploy it on our infrastructure. On compared with other managed services like Datadog, New Relic it is very expensive and we also don't have much control on the tools we use.