Datadog vs. SolarWinds Hybrid Cloud Observability

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 small teams serving big organizations - it's a really simple tool to install and set up relatively quickly. - the new installer is also great - I don't have to understand what modules need to be installed; it's all streamlined. - The HCO Licensing allows you to run the Additional polling engines at a scale where the previous licensing model didn't. We can deploy APEs in locations now, which would not have been worth the investment in previously as there weren't enough devices in that location/region to spend the $$$$ on an APE License.

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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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• Automated dependency mapping is a big hit.
• High availability is extremely simple to implement.
• Simple to use and drill into issues.
• Analysis of growth patterns driving the recommendation engine.

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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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• Can be complex to setup
• Is strongest with network resources
• Assumes a fairly large amount of base knowledge

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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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- decent ease of use - good training materials - good documentation - acceptable level of expected knowledge

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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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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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Solarwinds has the best overlap of the two others I've mentioned - the other two tools (Datadog and Dynatrace) are great in their own way but Solarwinds is just good at everything; if I had to pick one tool of the above, it would be Solarwinds for the compatibility and ease of use, the other tools are more focused on being great at certain things while Solarwinds is the jack of all trades.

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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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• one license requiring 1 PO to be raised
• sharing costs between departments for monitoring under one platform using APEs

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