Edge Computing Patterns for Solution Architects: Learn methods and principles of resilient distributed application architectures from hybrid cloud to far edge

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ASIN ‏ : ‎ B0CSSX15R5
Publisher ‏ : ‎ Packt Publishing; 1st edition (January 30, 2024)
Publication date ‏ : ‎ January 30, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 11782 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 370 pages

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In today’s rapidly evolving digital landscape, edge computing has emerged as a crucial component in ensuring the performance and scalability of distributed applications. As a solution architect, it is essential to understand the various patterns and principles that govern resilient distributed application architectures, especially when it comes to deploying applications across hybrid cloud environments to the far edge.

In this post, we will delve into the key edge computing patterns that solution architects should be familiar with in order to design robust and efficient distributed systems. From data processing and storage strategies to networking and security considerations, these patterns provide a roadmap for navigating the complexities of edge computing and building scalable, resilient applications.

One of the fundamental principles of edge computing is the decentralization of data processing and storage, which enables applications to operate closer to where data is generated. This not only reduces latency and bandwidth usage but also enhances the overall performance and reliability of the system. Solution architects must carefully consider factors such as data locality, data synchronization, and data replication when designing distributed applications that span across hybrid cloud environments to the far edge.

Another key aspect of edge computing patterns is the implementation of fault-tolerant and resilient architectures that can withstand network disruptions, hardware failures, and other unforeseen events. By adopting strategies such as redundancy, load balancing, and failover mechanisms, solution architects can ensure that their applications remain available and responsive even in challenging environments.

Additionally, security is a critical consideration when it comes to edge computing, especially in scenarios where sensitive data is being processed at the edge. Solution architects must implement robust encryption, authentication, and access control mechanisms to safeguard data and protect against potential threats and vulnerabilities.

In conclusion, understanding edge computing patterns is essential for solution architects looking to design distributed applications that can operate effectively across hybrid cloud environments to the far edge. By leveraging the methods and principles of resilient distributed application architectures, architects can build scalable, reliable, and secure systems that meet the demands of today’s digital landscape.
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