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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

Building the data server

Imagine for a moment that you are working for the public works department of a major city. Throughout the day, citizens use their phones and computers to report problems via the 311 service (https://www.open311.org). You’ve been tasked with accessing the 311 data, building dashboards, and presenting them to various stakeholders within the city government. They will want to see how many of the various types of calls are made to the system, as well as how they are distributed across the city in various council districts.

Before we can build our dashboards, we’ll need to get some data. Luckily, many major cities make anonymized 311 data publicly accessible in many popular data formats, including JSON and CSV. For this exercise, we’ll be working with 311 data from the city of San Francisco. This data is available via their extensive data portal at https://data.sfgov.org/City-Infrastructure/Current-FY-Cases/iy63-pi3t.

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