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Getting started with Datadog search #32109
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👋 It's great to see this added to the docs! I saw this PR because I was tagged on the related JIRA ticket... I took the liberty to leave a few comments, feel free to ignore me 😄
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### Metric-Based Queries | ||
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Metric-based queries are designed to retrieve and analyze numerical time series data. They rely on tags and attributes to filter metrics and often combine functions and arithmetic operations to calculate and visualize trends over time (for example, average latency, error rate, or cost over time). |
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❓ Do we say "attributes" for metrics filters? I would have written only tags here, but I am not a metrics expert.
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Metric-based queries are designed to retrieve and analyze numerical time series data. They rely on tags and attributes to filter metrics and often combine functions and arithmetic operations to calculate and visualize trends over time (for example, average latency, error rate, or cost over time). | |
Metric-based queries are designed to retrieve and analyze numerical time series data. They rely on tags to filter metrics and often combine functions and arithmetic operations to calculate and visualize trends over time (for example, average latency, error rate, or cost over time). |
content/en/getting_started/search/product_specific_reference.md
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Co-authored-by: Erik Uzureau <[email protected]>
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Found a few minor things to update. Other than that, this seems like essential reading that will be a great addition to our docs. Great work!
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See the index of [Product-Specific Search][1]. | ||
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## Further Reading |
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## Further Reading | |
## Further reading |
## Understanding Datadog search | ||
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Datadog provides a unified way to query data across products using text-based search syntax. All data in Datadog can be explored and filtered through queries, but the syntax and behavior differ depending on the type of data you're working with. There are two primary query formats in Datadog: | ||
- **Metric-based queries**: used in Metrics and Cloud Cost Management (CCM). |
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- **Metric-based queries**: used in Metrics and Cloud Cost Management (CCM). | |
- **Metric-based queries**: Used in Metrics and Cloud Cost Management (CCM). |
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Datadog provides a unified way to query data across products using text-based search syntax. All data in Datadog can be explored and filtered through queries, but the syntax and behavior differ depending on the type of data you're working with. There are two primary query formats in Datadog: | ||
- **Metric-based queries**: used in Metrics and Cloud Cost Management (CCM). | ||
- **Event-based queries**: used across most other products, including Logs, APM, RUM, Events, and Security. |
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- **Event-based queries**: used across most other products, including Logs, APM, RUM, Events, and Security. | |
- **Event-based queries**: Used across most other products, including Logs, APM, RUM, Events, and Security. |
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## Additional product-specific resources | ||
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{{< whatsnext desc="Product-specific search syntax documentation for additional Datadog products:" >}} |
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I would recommend adding your new "Getting Started with Search" page as a further reading to each of these pages
{{< nextlink href="/tests/explorer/search_syntax" >}}Test Optimization Explorer Search Syntax: Search and analyze test execution data{{< /nextlink >}} | ||
{{< /whatsnext >}} | ||
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## Further Reading |
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## Further Reading | |
## Further reading |
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For more information, see [Advanced Filtering][1]. | ||
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### Key capabilties |
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### Key capabilties | |
### Key capabilities |
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To learn more about querying spans and traces with service, resource, and tag filters, see [Trace Query Syntax][3]. | ||
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### Key capabilites |
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### Key capabilites | |
### Key capabilities |
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Each Datadog product provides its own search syntax, tailored to the type of data it handles. The Product-Specific Search reference highlights the key capabilities and unique operators available in each product, such as log search facets, APM trace filters, or metric aggregation functions. These references help you understand where syntax differs across Datadog products. | ||
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See the index of [Product-Specific Search][1]. |
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See the index of [Product-Specific Search][1]. | |
Learn more in [Product-Specific Search][1]. |
What does this PR do? What is the motivation?
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