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Data Engineering with Python

You're reading from   Data Engineering with Python Work with massive datasets to design data models and automate data pipelines using Python

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781839214189
Length 356 pages
Edition 1st Edition
Languages
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Author (1):
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Paul Crickard Paul Crickard
Author Profile Icon Paul Crickard
Paul Crickard
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: Building Data Pipelines – Extract Transform, and Load
2. Chapter 1: What is Data Engineering? FREE CHAPTER 3. Chapter 2: Building Our Data Engineering Infrastructure 4. Chapter 3: Reading and Writing Files 5. Chapter 4: Working with Databases 6. Chapter 5: Cleaning, Transforming, and Enriching Data 7. Chapter 6: Building a 311 Data Pipeline 8. Section 2:Deploying Data Pipelines in Production
9. Chapter 7: Features of a Production Pipeline 10. Chapter 8: Version Control with the NiFi Registry 11. Chapter 9: Monitoring Data Pipelines 12. Chapter 10: Deploying Data Pipelines 13. Chapter 11: Building a Production Data Pipeline 14. Section 3:Beyond Batch – Building Real-Time Data Pipelines
15. Chapter 12: Building a Kafka Cluster 16. Chapter 13: Streaming Data with Apache Kafka 17. Chapter 14: Data Processing with Apache Spark 18. Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark 19. Other Books You May Enjoy Appendix

Monitoring NiFi using the GUI

The NiFi GUI provides several ways to monitor your data pipelines. Using the GUI is the simplest way to start monitoring your NiFi instance.

Monitoring NiFi with the status bar

Much of the information you need is on the status bar. The status bar is below the component toolbar and looks like the following screenshot:

Figure 9.1 – Component and status toolbars

Starting at the left of the status bar, let's look at what is being monitored:

  • Active thread: This lets you know how many threads are running. You can get a sense of tasks and load.
  • Total queued data: The number of flowfiles and the combined size on disk.
  • Transmitting remote process groups and not transmitting remote process groups: You can run NiFi on multiple machines or instances on the same machine and allow process groups to communicate. These icons tell you whether they are or are not communicating.
  • Running components, stopped components...
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