Datadog vs. NetApp Cloud Insights

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

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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.

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• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

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• The visibility and usage optimization are the most valuable features.
• Ease to use for basic functionality.
• It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis.

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• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

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• Need to add more cloud resources for optimization, as many are still not compatible
• Data retention time is limited.
• Premium subscription is costly.

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There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

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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.

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The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

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1. It's very easy to contact the customer support service, and they seem to be very happy to help at any time.
2. Timeliness of the support's response. Support is very active when responding to the customer's complaint or queries.
3. Technical support always provided the solutions to the problems encountered.
4. Overall customer support quality is good.

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We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.

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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 still priced competitively.

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Once you install the acquisition unit and start collecting data, you can immediately begin using it. It is very self-explanatory and helpful. I could have used Cloud Insights without working with the NetApp Cloud Insights support team. I am glad I engaged them though. They helped me carry Cloud Insights to a new level and it fast-tracked the process that would have taken me time to complete.

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• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

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• Performance and security have improved
• Cloud Secure lets you get real-time alerts on any security breach, like a ransomware attack or something similar
• You can easily notice if something weird is happening on the cloud and later prevent that

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info