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You're reading from  Building Big Data Pipelines with Apache Beam

Product typeBook
Published inJan 2022
Reading LevelBeginner
PublisherPackt
ISBN-139781800564930
Edition1st Edition
Languages
Python
Tools
Apache Beam
Concepts
Data Processing
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Author (1)
Jan Lukavský
Jan Lukavský
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Jan Lukavský

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.
Read more about Jan Lukavský

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Debugging pipelines and using Apache Beam metrics for observability

Observability is a key part of spotting potential issues with a running pipeline. It can be used to measure various performance characteristics, including the number of elements processed, the number of RPC calls to backend services, and the distribution of the event-time lags of elements flowing through the pipeline.

Although it should be possible to create a side output for each metric and handle the resulting stream like any data in the pipeline, the requirement for quick and simple feedback from running pipelines led Beam to create a simple API dedicated to metrics. Currently, Beam supports the following metrics:

  • Counters
  • Gauges
  • Distributions

A Counter instance is a metric that is represented by a single long value that can only be incremented or decremented (this can be by 1, or by another number).

A Gauge instance is a metric that also holds a single long value; however, this value...

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Building Big Data Pipelines with Apache Beam
Published in: Jan 2022Publisher: PacktISBN-13: 9781800564930
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jan Lukavský

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.
Read more about Jan Lukavský

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