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Understand, diagnose, and optimize SQL queries: Introducing Grafana Cloud Database Observability

Blog post from Grafana Labs

Post Details
Company
Date Published
Author
Matthew Nolf and Cristian Greco
Word Count
1,245
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

Grafana Cloud Database Observability is a new feature designed to aid application developers, SREs, and DBAs in understanding, diagnosing, and optimizing SQL queries, thereby addressing a common source of application performance issues: inefficient database queries. This tool allows users to correlate data across their entire stack, from application to infrastructure, and provides insights into query performance that traditional application-level observability tools lack. It offers a comprehensive overview of database operations through metrics such as rate, error, and duration (RED), and allows for detailed query analysis, including performance trends and schema details, all within the Grafana Cloud environment. Additionally, the tool incorporates AI to suggest optimization strategies, includes capabilities for examining query execution plans, and facilitates collaboration across development and operations teams by eliminating the need for specialized DBA resources. It aims to simplify the troubleshooting process by providing granular insights into the database layer, which is often a black box in performance incidents. Users are encouraged to set up Database Observability by enabling telemetry collection on their databases and using Grafana Alloy for data collection, making it a powerful addition to Grafana Cloud’s suite of observability tools.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Observability 18 2,534 521 146 +9%
LLM 1 5,556 752 184 +14%
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