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Learn Grafana 10.x

You're reading from   Learn Grafana 10.x A beginner's guide to practical data analytics, interactive dashboards, and observability

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781803231082
Length 542 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Salituro Eric Salituro
Author Profile Icon Eric Salituro
Eric Salituro
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Getting Started with Grafana
2. Chapter 1: Introducing Data Visualization with Grafana FREE CHAPTER 3. Chapter 2: Touring the Grafana Interface 4. Chapter 3: Diving into Grafana's Time Series Visualization 5. Part 2 – Real-World Grafana
6. Chapter 4: Connecting Grafana to a Prometheus Data Source 7. Chapter 5: Extracting and Visualizing Data with InfluxDB and Grafana 8. Chapter 6: Shaping Data with Grafana Transformations 9. Chapter 7: Surveying Key Grafana Visualizations 10. Chapter 8: Surveying Additional Grafana Visualizations 11. Chapter 9: Creating Insightful Dashboards 12. Chapter 10: Working with Advanced Dashboard Features and Elasticsearch 13. Chapter 11: Streaming Real-Time IoT Data from Telegraf Agent to Grafana Live 14. Chapter 12: Monitoring Data Streams with Grafana Alerts 15. Chapter 13: Exploring Log Data with Grafana’s Loki 16. Part 3 – Managing Grafana
17. Chapter 14: Organizing Dashboards and Folders 18. Chapter 15: Managing Permissions for Users, Teams, and Organizations 19. Chapter 16: Authenticating Grafana Logins Using LDAP or OAuth 2 Providers 20. Chapter 17: Cloud Monitoring AWS, Azure, and GCP 21. Index 22. Other Books You May Enjoy

Simulating logs with flog

As-is, this is a fairly limited view of Loki’s capabilities, largely because we haven’t fed it some real logging to work with. Let’s fix that by first adding some live logs and then configuring Promtail to scrape them. Taking a cue from the Loki documentation, we’ll use an open source logging generator called flog to generate fake logging. Next, we’ll create a configuration file for Promtail that will scrape those logs in real time.

flog is available as a Docker container, so we just need to add it as a service to our docker-compose.yml file:

    flog:
        image: mingrammer/flog:latest
    command: -l -d 1

The service entry for flog is very simple: pull the latest image and run it with the -l command-line option for continuous looping, and -d 1 to run with a delay interval of 1 second so that we don’t overwhelm Promtail.

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