Home / Companies / Datadog / Blog / Post Details
Content Deep Dive

Introducing Boolean-filtered metric queries

Blog post from Datadog

Post Details
Company
Date Published
Author
Paul Gottschling, Miranda Kapin, Kathy Lin
Word Count
618
Company Posts That Month
15
Language
English
Hacker News Points
-
Post removed?
No
Summary

Boolean-filtered metric queries in Datadog enable users to define and redefine scopes on the fly, making it easier to track data across overlapping scopes. By combining existing tags into complex expressions using Boolean logic, users can establish relationships between tags, group operations using parentheses, and use the `IN` operator to scope queries to specific tag keys. This technique allows for more concise and meaningful way to define the scope of metrics, providing visibility into complex environments, such as evolving requirements and microservices-based architectures. With this feature, users can quickly get on-the-fly answers to any question about teams within their organization, enabling informed leadership and monitoring of infrastructure in a comprehensive, flexible, and precise manner.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 1 967 124 47 -11%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.