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Arduino Data Communications

You're reading from   Arduino Data Communications Learn how to configure databases, MQTT, REST APIs, and store data over LoRaWAN, HC-12, and GSM

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837632619
Length 286 pages
Edition 1st Edition
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Author (1):
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Robert Thas John Robert Thas John
Author Profile Icon Robert Thas John
Robert Thas John
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Table of Contents (20) Chapters Close

Preface 1. Part 1:Introduction to Arduino and Sensor Data
2. Chapter 1: Getting Started with Arduino FREE CHAPTER 3. Chapter 2: Leveraging Various Sensors for Data Acquisition 4. Chapter 3: Prototyping with Shields 5. Chapter 4: Storing Data Collected from Sensors 6. Chapter 5: Implementing REST and MQTT Protocols for Communication 7. Part 2:Sending Data
8. Chapter 6: Utilizing Various Communication Technologies 9. Chapter 7: Communicating with LoRaWAN 10. Chapter 8: Working with Ethernet 11. Chapter 9: Leveraging Cellular Communication Technology 12. Chapter 10: Communicating via HC-12 13. Chapter 11: Managing Communication with RS-485 14. Part 3: Miscellaneous Topics
15. Chapter 12: Enhancing Security for Reducing Risk 16. Chapter 13: Scaling for High Availability 17. Chapter 14: Building and Manufacturing Hardware 18. Index 19. Other Books You May Enjoy

Understanding load balancing

You can set up load balancing using a compute cluster. This is a collection of identical servers, called nodes, that run the same operating system and software. The load balancer is a server that sits in front of the cluster and directs traffic to individual nodes. An example is illustrated in the following diagram:

Figure 13.1 – Load balancing

Figure 13.1 – Load balancing

The nodes are connected on a single high-speed network that they use for communication and sharing resources. The load balancer keeps track of which nodes are available and sends traffic to them.

In some situations, you can make use of load balancing to provide redundancy and failover while also minimizing expenses.

You can minimize expenses by shutting down nodes when you don’t need them and starting them up when you do. There are two reasons why you would want to take this approach:

  • In a physical data center, more nodes running means higher energy and cooling...
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