Setting Up a Datadog - Finout Metrics Integration (Export)
Last updated
Was this helpful?
Last updated
Was this helpful?
To seamlessly integrate Datadog metrics with Finout, start by linking your with Finout. This connection is crucial for Finout to fetch daily telemetry data, enhancing your insights into unit economics and enabling more accurate shared cost reallocation.
Why should I connect a Datadog external metric to Finout?
To more effectively.
Creating unit economics using our
Ensure your Datadog API is integrated within Finout, a step necessary for both tracking Datadog-related expenses and importing metrics. For a metrics-focused integration without the cost monitoring component, ensure your Datadog API key is enabled for timeseries_query permissions. While integrating Datadog's cost center is recommended for a holistic view, it is optional for metrics-only scenarios.
Please refer to Finout's for complete setup instructions.
Note: While the guide discusses cost integration, the same principles apply for metric data integration.
Choose and format the Datadog metric you wish to export to Finout by determining the appropriate aggregation function, metric name, filters, and grouping parameters. This process involves selecting the specific Datadog metric, applying the correct aggregation function, and setting relevant filters and group parameters to refine your query.
Example queries:
For counting instances: "query": "sum:my_metric{status:200} by {host}.as_count()",
To summarize over time: "query": "avg:my_metric{*} by {region}.rollup(sum, 3600)",
Important: Additional Information: The data retrieved will be documented with daily granularity, capturing all associated tags with the metrics. This ensures a detailed and flexible use of metrics within Finout.
Please provide Finout with the following information:
Formulated query string
Custom metric name
The data will be captured daily and include all metric tags, enriching your Finout analyses and decision-making capabilities.