Item: Datadog
Rating: 10
Author: Verified User

Overall Satisfaction with Datadog

Use Cases and Deployment Scope

I use Datadog to document and learn from incidents across all aspects of our business. From Engineering, to operational, to security incidents.

By using Datadog's Incident Management tools we've been able to document incident root causes, increase awareness and communication about incidents and their impact when they occur, and broadcast learnings during a postmortem to other teams across the business to help prevent a similar issue from occurring with a different team/application.

Pros and Cons

Pros

Incident Management
Realtime User Monitoring
Watchdog AI detection

Cons

Increased personalization
increased customization of Incident Management

Return on Investment

Massive improvements to tangible incident metrics like TTR, TTD, TTM
Increased communication about outages and incidents, helping dependent teams mitigate impact sooner

Usability

Incident Management is one of the newer products so it's missing some QOL features still

Alternatives Considered

Splunk AppDynamics, Splunk On-Call and Grafana

Better performance and visibility than what I was able to obtain out of AppDynamics

Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps)

I find the ease of having dashboards available within a single app awesome, one less bookmark.

Key Insights

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

Other Software Used

Splunk Cloud, Splunk On-Call, Grafana

Likelihood to Recommend

I highly recommend all companies that are looking to level up their visibility into their complex engineering systems to use Datadog.

Comments

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Datadog review