Datadog vs Graylog

• APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
• Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
• Lightweight agent on hosts

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• Graylog does a great job of its core function: log aggregation, retention, and searching.
• Graylog has a very flexible configuration. The backend for storage is Elasticsearch and MongoDB is used to store the configuration. You have to option to make your configuration as simple as possible by storing everything on one box, or you can scale everything out horizontally by using a cluster of Elasticsearch nodes and MongoDB servers with several Graylog servers pointed to all the necessary nodes.
• Graylog does a good job of abstracting away a fair portion of Elasticsearch index management (sharding, creation, deletion, rotation, etc).

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• User interface could be improved in some areas, looking for host information and the agent install link takes a bit of time.
• Configuration of the agent is generally done via a config file which is a pro and a con. It would be nice to have some UI to configure various agent options.
• Billing isn't entirely straightforward, they could use more reports to figure out the source of your monthly costs.

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• Rotating the indexes are hard! It is also easy to brick your deployment. Purchase support, but it's so ludicrously expensive, that I'd go with a different vendor.
• Community support dances around questions and points to documentation, which is there, but is not always accurate.
• Searching logs uses logic that is not always easy to use.
• There is not a good way to size how much space you need for a given log retention. It also does not tolerate running out of space using a smart feature or such to auto delete. The heap can also overflow.
• It uses MangoDB instead of a different database.
• The OVA is not approved for production use.
• It is resource intensive.

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• One of our critical production databases went down a couple of weeks back. Just because we had the Datadog monitoring enabled for that database, Datadog sent the alerts to PagerDuty and we were instantly notified via pager and email alert. We could act right away and bring up the database within a few mins.
• Ability to create custom screenboards have allowed us to track the critical and warning alerts in front of our eyes all the time

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• Negative: None. There is no negative impact by using Graylog.
• Speed of solving bugs. Logging is so accessible and easy to search that we spend a lot less time [searching] for specific errors.
• Better health of applications. Since monitoring the logs is so easy, it's very easy to keep an eye on the tracing to see if things are going smoothly and according to plan.

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