Datadog - Make debugging easier
Overall Satisfaction with Datadog
Our use case crosses teams—DevOps, backend engineering, and QA. We use it for everything from monitoring system CPU and memory usage on our cloud instances to application-level error custom alerting. We also use it extensively for deployment alerting, real-time SRE dashboards, and even for long-term performance analysis.Overall, Datadog is now part of our observability stack. It makes us proactive about issues in the system, and not reactive.
Pros
- Unified Observability (Metrics, Logs, Traces in One Place)
- Real Time Dashboards
- Good Alerting mechanism
Cons
- learning curve for new users
- Dashboards can sometimes be disorganized if not maintained properly
- Alert configurations take time example user has to plug and play sometimes
- reduced the time in debugging and the team is more productive as RCA is easy to find
- Decision making with live metrics is helpful by a lot
- with help of llm even QA is able to find some memory issues and spikes by looking at the dashboards
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

Comments
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