Google’s new query builder to tackle SQL complexity in cloud workload monitoring

Enterprises often rely on generating insights about cloud workloads to manage security and costs, such as avoiding data egress fees to third-party tools, and Log Analytics, part of Google’s Cloud Logging service, is a set of capabilities that is targeted at providing these insights by using SQL as t...

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Vydáno v:InfoWorld.com
Médium: Trade Publication Article
Jazyk:angličtina
Vydáno: San Mateo Foundry 04.11.2025
Témata:
Complexity theory
Language
Natural language
Queries
Query languages
Real time
Search engines
Structured Query Language-SQL
Trouble shooting
Workload
Workloads
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Tagy: Přidat tag
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Shrnutí:Enterprises often rely on generating insights about cloud workloads to manage security and costs, such as avoiding data egress fees to third-party tools, and Log Analytics, part of Google’s Cloud Logging service, is a set of capabilities that is targeted at providing these insights by using SQL as the query language. “The query builder solves a large SQL bottleneck by transforming log analysis from a time-consuming task into a real-time, self-service capability that’s fit for any DevOps or site reliability professional. Some of the key features of the query builder include the ability to search across all fields with a single string or error message, previewing log schema with inferred JSON keys and values, intelligent value suggestions for fields and filters, automatic JSON handling, real-time SQL preview, and single-click visualization and dashboard saving.