Platform Observability and Monitoring with Grafana | CodeSignal Learn

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intermediate

Platform Observability and Monitoring with Grafana

Data Science & Analytics

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4 courses

57 practices

8 hours

Master platform observability with Grafana. This hands-on path guides Data Engineers from connecting PostgreSQL metrics to mastering alerts, transformations, and interactive dashboards—turning raw data into actionable monitoring for modern systems.

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Certificate of Achievement

Verified skills you'll gain

DEVELOPING

Data Cleaning and Preprocessing

DEVELOPING

Database Systems

INTERMEDIATE

SQL and NoSQL Data Querying

Tools you'll use

Grafana

PostgreSQL

Course 1

Grafana Fundamentals with PostgreSQL Metrics

5 lessons

17 practices

Discover Grafana by visualizing real-time–like infrastructure metrics from a PostgreSQL database. In this course, learners will connect Grafana to Postgres, build time-series and stat panels, calculate derived metrics like CPU headroom, and master time bucketing for efficient, responsive dashboards that work at any time scale.

Course 2

Learning Grafana Variables and Interactive Dashboards

4 lessons

16 practices

Graduate from query testing to production-ready dashboards. Learn to create organized dashboards, add multiple panels, and make them interactive using template variables. Master dropdown selectors for hosts, mounts, and interfaces that filter multiple panels simultaneously, transforming static charts into dynamic exploration tools.

Course 3

Grafana Alerting and Monitoring Operations

4 lessons

11 practices

Turn dashboards into proactive monitoring. Create alert rules, set thresholds, combine conditions, use reduce functions, add annotations for context, and apply multi-threshold severity levels.

Course 4

Grafana UI Joins and Transformations

4 lessons

13 practices

Build production-grade Grafana dashboards by mastering the UI features that turn raw query results into clean, actionable monitoring experiences. Learners will write join-ready queries using Grafana macros, stitch multiple data sources together using UI joins and composite keys, and shape data using transformations like Filter, Group by, Reduce, Rename, and Sort—all without rewriting SQL.

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