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
NetApp Cloud Insights
Score 9.2 out of 10
N/A
NetApp Cloud Insights is an infrastructure monitoring tool that gives
users visibility into their complete infrastructure. With Cloud Insights, users can monitor, troubleshoot and optimize all resources including
public clouds and private data centers.
N/A
Pricing
Dynatrace
NetApp Cloud Insights
Editions & Modules
Synthetic Monitoring
$0.001
per synthetic request
Kubernetes Platform Monitoring
$0.002
per hour for any size pod
Real User Monitoring
$0.00225
per session
Application Security
$0.018
per hour for 8 GIB host
Infrastructure Monitoring
$0.04
per hour for any size host
Full-Stack Monitoring
$0.08
per hour for 8 GIB host
No answers on this topic
Offerings
Pricing Offerings
Dynatrace
NetApp Cloud Insights
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Dynatrace
NetApp Cloud Insights
Considered Both Products
Dynatrace
Verified User
Anonymous
Chose Dynatrace
Single Agent deployment AI analysis that provides insight discovery and pure path Able to analyst performance data quickly and next hop.
New relic was mostly like readonly dashboard and restricted how we slice and dice the data presented to us. Ability to drill down was seriously limited.
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 …
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 provides the best insights into our environment from end to end. It provides user sessions throughout the application so, we can see exactly what users are doing and potentially not only fix problems but provide improvements before any issues arise. There is no …
For a while, we were using Zabbix to monitor our Kubernetes applications and microservices on our infrastructure in more than one public cloud platform. Cloud Insights has much better visualized dashboards. In addition, despite such a large number of quality features, it's …
Cloud Insights is a very compact service compared to others. This is very compatible with the service selection policy suitable for the purpose. So you really pay for the part of the product you need, which increases your financial efficiency and lowers start-up costs (time to …
I assumed that this was a new product on the market and gave it a try since it had good customer feedback. So far it has done the job and provides some really good features.
Easy to install data collectors; the main focus of the product is multi-vendor cloud technology systems. Easy-to-use dashboards with widely supported features, which can be easily used in a WYSIWYG-manner. The NetApp data collector uses Telegraf as a way to integrate data from …
Cloud Insights allows us to create custom dashboards to monitor and trend any aspect of their infrastructure including CPU, memory, storage network utilization, IOPS, capacity utilization and more. Cloud Insights also provides visibility into the inter-connectivity of the …
Azure Bot Service isn't as responsive as Cloud Insights. Neither tool will pinpoint the problem exactly for you. If one did, that would be the clear choice. Work is still necessary to actually solve the problem, and Cloud Insights is more responsive to give the team more time …
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.
For example, we had an application slowdown. It looked like the slowdown was storage. However, it was a malformed SQL query that no one realized was pulling data from the storage location that also housed the application. Cloud Insights saved us hours of downtime and frustration. Cloud Insights pinpointed which system was hogging resources. What makes Cloud Insights special is the way it looks at the data collected from the data sources. The insights it provides into the flow of data; sheds new light on how things work in your environment.
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 got tremendous support and response from the dynatrace support team as well as the larger community. We still have issues like the lack of role based administration, but we are told that it may be coming in a future release. The team is very supportive and has assisted us in several tough situations.
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.
I have been extremely happy with its usability. You can take thins as they are out of the box and it is useful. You can carry it as far as you want to go and every step you take improves your ROI.
I wish I could have given the ten points but based on my experience in past I am reducing by two points as the penalty. But I am sure that it will have improved in the past few months. They need some improvement on ticket handling. Overall I appreciate some of the support folks who responded quickly and also were ready to jump on the Webex and get the problem understood to fix it.
Before using Cloud Insights, we quickly resolved all the issues we had by talking with the support team. The support team is eager to assist and technically well equipped. They quickly understood what we needed and helped us during the setup and the first use period so that we could adapt easily.
Like I mentioned earlier, Dynatrace is a great tool but comes with a heavy price tag. On the other hand, Foglight offers a slightly lower level of expertise in application monitoring but fulfils almost all the requirements you would commonly have. The only major feature lacking in Foglight is the predictive monitoring feature. If you are an SME struggling with budgets, then predictive monitoring is something you can certainly live without.
Cloud Insights allows us to create custom dashboards to monitor and trend any aspect of their infrastructure including CPU, memory, storage network utilization, IOPS, capacity utilization and more. Cloud Insights also provides visibility into the inter-connectivity of the components in our infrastructure by providing topology views of any component.