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Architecture Patterns: Publish/Subscribe

DZone

The Publish/Subscribe (Pub/Sub) pattern is a widely-used software architecture paradigm, particularly relevant in the design of distributed, messaging-driven systems. At its core, the Pub/Sub pattern is about decoupling the message producer (publisher) from the message consumer (subscriber).

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Scalability?: ?Think in Terms Of TCO

DZone

A system that has the ability to easily scale resources to meet the increasing workload without affecting the performance is known as a scalable system. To make an easy-to-scale system, it is crucial to have an evolutionary way of thinking about the software development cycle.

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Gossip Protocol Explained

High Scalability

You can subscribe to the system design newsletter to excel in system design interviews and software architecture. The original article was published on systemdesign.one website. What Is Gossip Protocol?

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Sociotechnical Design Variables

Strategic Tech

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables.

Design 45
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Design Patterns: Series Introduction

cdemi

I have decided to write a series on some common and modern Design Patterns that are useful in today's horizontally scalable (such as cloud-hosted) applications. The Competing Consumer Pattern enables a system to process multiple messages concurrently to optimize throughput, to improve scalability and availability.

Design 40
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Design Patterns: Queue-Based Load Leveling Pattern

cdemi

Maximizing Scalability : Number of Queues and Services can be varied to meet Demand. Control Costs : You don't have to design your service to meet peak load, but rather average load. Amazon Simple Queue Service - The Go-To choice if you're already on AWS, Reliable, Simple, Flexible, Scalable, Secure, Inexpensive.

Design 47