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You're reading from  Redis Stack for Application Modernization

Product typeBook
Published inDec 2023
PublisherPackt
ISBN-139781837638185
Edition1st Edition
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Authors (2):
Luigi Fugaro
Luigi Fugaro
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Luigi Fugaro

Luigi Fugaro's first encounter with computers was in the early 80s when he was a kid. He started with a Commodore Vic-20, passing through a Sinclair, a Commodore 64, and an Atari ST 1040, where he spent days and nights giving breath mints to Otis. In 1998, he started his career as a webmaster doing HTML, JavaScript, Applets, and some graphics with Paint Shop Pro. He then switched to Delphi, Visual Basic, and then started working on Java projects. He has been developing all kinds of web applications, dealing with backend and frontend frameworks. In 2012, he started working for Red Hat and is now an architect in the EMEA Middleware team. He has authored WildFly Cookbook and Mastering JBoss Enterprise Application Platform 7 by Packt Publishing.
Read more about Luigi Fugaro

Mirko Ortensi
Mirko Ortensi
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Mirko Ortensi

Mirko Ortensi earned a degree in Electronic Engineering and a Master's degree in Software Engineering. Mirko's career has spanned several roles from Software Engineering to Customer Support, particularly centered around distributed database systems. As a Senior Technical Enablement Architect at Redis, Mirko shares technical knowledge about Redis's products and services.
Read more about Mirko Ortensi

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Aggregation framework

The Redis Stack for Time Series aggregation framework provides functions that enable users to perform operations such as calculating the average, sum, minimum, maximum, count, or standard deviation of data points, within a specific time bucket or range. By using these functions, you can derive insights, detect trends, and analyze patterns in your time-series data more effectively.

The following is a list of aggregation functions:

  • avg: Calculates the average (mean) value of data points within a specified time bucket or range. It is useful for analyzing and summarizing time-series data to understand trends and patterns over time.
  • sum: Calculates the total (sum) of data points within a specified time bucket or range. It is useful for aggregating time-series data to understand the cumulative effect or total value of the data points over time.
  • min: Calculates the minimum value of data points within a specified time bucket or range. It is useful for...
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Redis Stack for Application Modernization
Published in: Dec 2023Publisher: PacktISBN-13: 9781837638185

Authors (2)

author image
Luigi Fugaro

Luigi Fugaro's first encounter with computers was in the early 80s when he was a kid. He started with a Commodore Vic-20, passing through a Sinclair, a Commodore 64, and an Atari ST 1040, where he spent days and nights giving breath mints to Otis. In 1998, he started his career as a webmaster doing HTML, JavaScript, Applets, and some graphics with Paint Shop Pro. He then switched to Delphi, Visual Basic, and then started working on Java projects. He has been developing all kinds of web applications, dealing with backend and frontend frameworks. In 2012, he started working for Red Hat and is now an architect in the EMEA Middleware team. He has authored WildFly Cookbook and Mastering JBoss Enterprise Application Platform 7 by Packt Publishing.
Read more about Luigi Fugaro

author image
Mirko Ortensi

Mirko Ortensi earned a degree in Electronic Engineering and a Master's degree in Software Engineering. Mirko's career has spanned several roles from Software Engineering to Customer Support, particularly centered around distributed database systems. As a Senior Technical Enablement Architect at Redis, Mirko shares technical knowledge about Redis's products and services.
Read more about Mirko Ortensi