Datadog is a fundamentally useful platform for centralized app observabilty and beyond
Overall Satisfaction with Datadog
Datadog is our first point of access for developers to review logs and monitoring of key services and architecture. Primarily, we were drowning in trying to find useful logs in AWS Cloudwatch and Datadog's log discovery capabilities are far and away better. We have setup up several key alarms for bad log patterns but have yet to find full utility in monitoring other metrics - largely because we do not have a core platform development team.
Pros
- Log indexing
- Log Searching
- Dashboard building (combining logs and metrics)
- Traceability
- User Monitoring
Cons
- More recipes for fundamental monitoring tooling
- Targetting different scales of application (beyond enterprise SaaS)
- Multiple workspaces in an account to separate users
- Highly improved distributed compute debugging
- Still waiting for Bits AI access - negative experience on new product rollouts
- Spreadsheets have made reporting to external teams significantly easier
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
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?
Yes
Did implementation of Datadog go as expected?
Yes
Would you buy Datadog again?
Yes

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