Datadog vs. PaperTrail

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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It is very easy to use. We utilize it to save and show the logs for as many apps as we want. You can use it as an addon on Heroku.

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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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• PaperTrail is less expensive than many of its competitors.
• PaperTrail is very easy to set up; you can start collecting logs in no time.
• It is easy to configure email alerts and Slack integrations with PaperTrail.

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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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• Interface is aging and in need of a re-write. It's functional, but not all that nice to work with
• While the logs are near-real-time, they could greatly improve the speed at which logs are available in the UI
• Pricing plans are not all that competitive with newer offerings with other companies

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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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PaperTrail has become a basic app for me to save and see app logs. It is very easy to use, very intuitive and easy to customize. The feature I like most is that we can use it with several apps at same time.

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PaperTrail's live-tailing performance is adequate and searches over the recent history load quickly. Searching over long periods of time can be extremely slow, however.

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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 only used Logz.io for a very brief time. It seemed a bit more difficult to setup than Papertrail.

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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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• Free plan is sufficient for development and small services, and the paid plans are very cheap at low log volume. For us, the price is right with PaperTrail - though I can't speak to how their pricing compares at very high volumes.
• Adding cloud-logging to your apps can really speed up development and debugging - the impact to engineering productivity cannot be understated.

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