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You're reading from  Data Ingestion with Python Cookbook

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837632602
Edition1st Edition
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Author (1)
Gláucia Esppenchutz
Gláucia Esppenchutz
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Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz

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Creating an observability dashboard

Now, with our tools up and running, we can finally jump into the visualization dashboards. Monitoring and observability dashboards are designed to help gain deep insights into the health and behavior of our systems. You will observe in this exercise how Grafana can help us create an observability dashboard and a number of features inside it.

In this recipe, we will create our first dashboard with a few panels to better monitor our Airflow application. You will notice that, with a few steps, it is possible to have an overview of how Airflow behaves over time and be prepared to build your future panels.

Getting ready

Refer to the Technical requirements section for this recipe since we will handle it with the same technology.

To accomplish this exercise, ensure that StatsD, Prometheus, and Grafana are adequately configured and running.

How to do it…

Let’s create our dashboard to keep track of Airflow:

  1. On the Grafana...
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Data Ingestion with Python Cookbook
Published in: May 2023Publisher: PacktISBN-13: 9781837632602

Author (1)

author image
Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.
Read more about Gláucia Esppenchutz