Datadog vs. Scout Monitoring

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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To me, it's the best APM out there for a Rails application. It is really easy to set up, configure and start debugging any kind of bad-performing endpoint. We have solved issues going from High Response Time to Memory Leaks/Bloats. All of this can be achieved even if you are hosting your app in a PaaS like Heroku. (Where sometimes is difficult to install an agent like in other vendors).

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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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• I specifically use the risk assessment module and do risk assessments on any new product we introduce into our network or any company that we are thinking about taking on as a client.
• I also use the vendor management module for any due diligence that comes up with a new company or a company that we may use once and then not use again.

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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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• Errors (is a new functionality but I didn't get well how it can replace rollbar for example).
• Usage measuring: In some cases is easy to get "disabled" due to a peak of bad requests.
• Editing app's names

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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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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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I've already explained why this product beats Excel hands down in time and money. I also love the way it sends you an email when you forget any due diligence or testing that needs to be done.

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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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• Speed to solve incidents
• Easy to monitor new endpoints or deployments
• Easy to monitor background jobs (like sidekiq)

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