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Learning Apache Apex

You're reading from   Learning Apache Apex Real-time streaming applications with Apex

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Length 290 pages
Edition 1st Edition
Languages
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Authors (5):
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Munagala V. Ramanath Munagala V. Ramanath
Author Profile Icon Munagala V. Ramanath
Munagala V. Ramanath
David Yan David Yan
Author Profile Icon David Yan
David Yan
Ananth Gundabattula Ananth Gundabattula
Author Profile Icon Ananth Gundabattula
Ananth Gundabattula
Thomas Weise Thomas Weise
Author Profile Icon Thomas Weise
Thomas Weise
Kenneth Knowles Kenneth Knowles
Author Profile Icon Kenneth Knowles
Kenneth Knowles
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Apex FREE CHAPTER 2. Getting Started with Application Development 3. The Apex Library 4. Scalability, Low Latency, and Performance 5. Fault Tolerance and Reliability 6. Example Project – Real-Time Aggregation and Visualization 7. Example Project – Real-Time Ride Service Data Processing 8. Example Project – ETL Using SQL 9. Introduction to Apache Beam 10. The Future of Stream Processing

Low-latency versus throughput


As mentioned in Chapter 1, Introduction to Apex, Apex is capable of very low-latency processing while also delivering high throughput and fault-tolerance. Processing latency evaluation ultimately depends on the specific use case and end-to-end pipeline functionality. It is nevertheless important to know the platform limits and what is theoretically possible. Resource consumption translates to cost. It is essential that a platform can scale to meet current and future needs at reasonable cost. Complex streaming analytics applications can run on hundreds of processes and consume TBs of memory. At such a scale, it is essential to understand how future growth of business and data volume will translate into cost for the solution.

The Apex user does not have to trade latency for throughput as would be the case in batch systems or a micro-batch architecture. Performance benchmark results and production deployments have shown that Apex can process millions of events per...

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