Must have Monitoring and Logging tool in Devops Life cycle: DataDog.
Overall Satisfaction with Datadog
DataDog is our OneStop solution for all our observability and monitoring stack needs for monitoring the Backend, Frontend, Database, Proxies, Servers, and all our other Infrastructure Components. Also has the flexibility to create, share and use Custom as well as predefined sets of Dashboards that help us troubleshoot many severe as well as production system-impaired issues. Fed custom metrics in Dashboards like Response time, data per environment, site availability, error rates, success rates, error as per error codes, and request tracing. Database dashboards can also give us many details like slow queries, reading high throughput, writing high throughput, and some recommendations to make our platform faster and more robust.
Pros
- Create Dashboards as per application, environments, and Custom metrics in one panel.
- Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
- Playbooks, SLA definition, success and error quotas, request visualizations.
- DB monitoring, Serverless stack monitoring.
- Alerting of Production incidents so we can quickly resolve the issues on time.
Cons
- Handy Documentation.
- Make Cost effective.
- Alerting, SLAs, Error, and Success rates dashboards.
- Infrastructure Monitoring, DB monitoring.
- Custom metrics, Custom dashboards.
- Pros: Infrastructure monitoring and alerting, logging, DB monitoring.
- Cons: Don't show vulnerabilities in infrastructure and their criticality.
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an open source issue and many problems as we have to keep 2 to 3 people aligned to manage the stack.
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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