Book Image

Distributed Computing in Java 9

Book Image

Distributed Computing in Java 9

Overview of this book

Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9. After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Customer Feedback
2
Communication between Distributed Applications
3
RMI, CORBA, and JavaSpaces

Debugging and troubleshooting distributed applications


Traditional debugging and troubleshooting of on-premise applications is through the IDE-based Java debugger option to run the application in debug mode with the visibility to the executed code path. For example, a desktop application in-house to an organization to manage their employee information can be developed and tested in a single IDE and debugged through the Java debugger option. However, this approach doesn't let us review the application performance, and has a restriction to replicate the production application issues and distributed issues.

One traditional approach to review the issues is through analyzing the log files during the defect timing. This allows the production application logs to be reviewed for identifying the actual issues; however, it is very time consuming having limited scope and visibility with high performance impact based on the IO.

The distributed application debugging and troubleshooting involves the review...