Price: $38.83
(as of Nov 23,2024 09:02:20 UTC – Details)

Publisher ‏ : ‎ Packt Publishing (January 30, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 214 pages
ISBN-10 ‏ : ‎ 1805124064
ISBN-13 ‏ : ‎ 978-1805124061
Item Weight ‏ : ‎ 13.4 ounces
Dimensions ‏ : ‎ 0.39 x 7.5 x 9.25 inches

Edge computing is an essential component of modern distributed application architectures, enabling organizations to process data closer to where it is generated, reducing latency and improving overall performance. As a solution architect, understanding the patterns and principles of edge computing is crucial for designing resilient and efficient applications that can scale from the hybrid cloud to the far edge.

In this post, we will explore some key edge computing patterns that solution architects should be familiar with:

1. Distributed Data Processing: Edge computing involves distributing data processing tasks across multiple edge devices, such as IoT sensors or edge servers. Solution architects must design applications that can efficiently process and analyze data in a distributed manner, ensuring that critical insights can be derived in real-time.

2. Edge-to-Cloud Integration: Hybrid cloud environments require seamless integration between edge devices and centralized cloud resources. Solution architects should design applications that can securely communicate and synchronize data between edge and cloud environments, ensuring consistency and reliability.

3. Edge Security and Compliance: Edge computing introduces new security challenges, as edge devices are often located in unsecured environments. Solution architects must implement robust security measures, such as encryption, authentication, and access control, to protect sensitive data and prevent unauthorized access.

4. Edge Orchestration and Management: Managing a large number of edge devices distributed across multiple locations can be challenging. Solution architects should design applications that can dynamically orchestrate and manage edge resources, ensuring optimal performance and scalability.

5. Edge Resilience and Fault Tolerance: Edge computing environments are inherently prone to failures and disruptions. Solution architects should implement resilient architectures that can gracefully handle failures, recover quickly, and maintain high availability.

By mastering these edge computing patterns and principles, solution architects can effectively design distributed application architectures that are resilient, scalable, and efficient across hybrid cloud and far edge environments. Stay tuned for more insights on edge computing and distributed application design!
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