A must-have for any cloud-based software company that will scale with your monitoring needs
Overall Satisfaction with Datadog
We use Datadog to monitor all kinds of application metrics: errors, network stats, response times, queues, and a bunch of application-specific metrics. We also have alerts set up that notify us of changes in production application performance. We also get a lot of metrics "for free" from all kinds of third-party tools (e.g. ElasticSearch, GitHub, Heroku, Cloudflare, etc).
Pros
- Thanks to the tool's versatility and a huge ecosystem around it, you can use it to track virtually anything.
- Powerful alert and warning configuration let you drastically reduce false positives.
- Runbooks give your team members guidance on how to act on alerts.
- Powerful data analysis features: you can slice and dice your data, almost the same way you can do it in a behavioral analytics tool. This means you can efficiently refine your metrics as your business grows.
Cons
- Overwhelming to use for newcomers.
- Even when you're familiar with the tool, finding the right metric or dashboard can be challenging unless you know exactly what you're looking for.
- Our needs to monitor application performance data keep growing, and Datadog continues to deliver, with the minimal extra effort required on our side.
Do you think Datadog delivers good value for the price?
Yes
Are you happy with Datadog's feature set?
Yes
Did Datadog live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Datadog go as expected?
I wasn't involved with the implementation phase
Would you buy Datadog again?
Yes
Comments
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