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Learning Apache Apex

You're reading from  Learning Apache Apex

Product type Book
Published in Nov 2017
Publisher
ISBN-13 9781788296403
Pages 290 pages
Edition 1st Edition
Languages
Authors (5):
Thomas Weise Thomas Weise
Profile icon Thomas Weise
Ananth Gundabattula Ananth Gundabattula
Profile icon Ananth Gundabattula
Munagala V. Ramanath Munagala V. Ramanath
Profile icon Munagala V. Ramanath
David Yan David Yan
Profile icon David Yan
Kenneth Knowles Kenneth Knowles
Profile icon Kenneth Knowles
View More author details

Table of Contents (17) Chapters

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Introduction to Apex Getting Started with Application Development The Apex Library Scalability, Low Latency, and Performance Fault Tolerance and Reliability Example Project – Real-Time Aggregation and Visualization Example Project – Real-Time Ride Service Data Processing Example Project – ETL Using SQL Introduction to Apache Beam The Future of Stream Processing

Distributed systems need to be resilient


As discussed in Chapter 2, Getting Started with Application Development, Apex applications run on a cluster as a distributed set of processes. Distribution enables scalability, and with the correct architecture, adding more resources to a compute cluster (such as YARN) allows applications to scale horizontally (refer to Chapter 4, Scalability, Low Latency, and Performance). At the same time, growing number of processes and machines also increases the likelihood of failure. Hardware or software failures cannot be avoided.

In order to prevent failure resulting in downtime or incorrect results, the system has to be resilient. Fault-tolerance mechanisms should cover high availability (HA) as well as provide with processing correctness guarantee to the user. For a production-quality and business-critical system, these aspects should be important evaluation criteria. A stream data processing platform should provide fault-tolerance along with scalability...

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