Item: Datadog
Rating: 9
Author: Verified User

Overall Satisfaction with Datadog

Use Cases and Deployment Scope

We use Datadog for Application Performance Monitoring that includes metrics monitoring, logging, Tracing. This helps in analyzing application or database slowness or inefficient code paths.
We also use it for Infrastructure Monitoring that includes - CPU, Memory, Disk usage, Network traffic, Host availability and health. This helps in detecting the load on our servers or hardware components.
Datadog Dashboards have helped us in visualizing metrics, logs and traces in real-time.
With Datadog's efficient alerting mechanisms and Incident Management, we have been able to detect multiple user-impacting issues proactively.

Pros and Cons

Pros

Application Performance Metrics
Log Management
Synthetics and Browser Monitoring
Dashboards

Cons

Datadog Log Management is excellent, however 20% INFO log sampling for our organization have started to cause issues with teams that requires 100% INFO logs for RCAs. There should be a way to get this done.
Enhanced AI capabilities and features
Community and Ecosystem Growth. Launch a marketplace for integrations, plugins and open-source observability tools.

Return on Investment

Faster Incident Detection and Resolution - Reduces MTTR and MTTD.
Improved Observability across teams - enhances team collaboration and cross-functional visibility.
Data-Driven decision making - Informs cloud spend and performance improvements that helps in taking right steps towards app observability.
High Cost - Can strain budgets or reduce ROI if not actively managed. Probably the only negative impact I could think of.

Usability

Datadog deserves this rating because of its 600+ integrations, simple and guided setup and onboarding. Alerting and Dashboarding is powerful and flexible and overall provides one of the best centralized Observability in today's technology market with efficient metric, logging and Tracing capabilities.

Alternatives Considered

Catchpoint, Prometheus and Dynatrace

Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.

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?

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

Other Software Used

Catchpoint, Prometheus, Grafana

Likelihood to Recommend

I feel Datadog is an excellent tool that will provide holistic observability for an application specially if the application is on cloud. Datadog excels with Dynamic cloud Infrastructure. It is also useful for Microservices Architecture.

It might not be that useful for applications with simple infrastructure or where there is a need for heavy log ingestion as it might increase the cost.

Comments

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Our Journey with Datadog