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Low-Maintenance Backend Architectures for Scalable Applications

DZone

The Evolution of Back-End Complexity Until recently, back-end architectures were relatively straightforward: monolithic applications ruled the landscape, with everything neatly contained within a single codebase. Developers could understand and manage the entire systems intricacies.

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Designing and Maintaining Event-Driven Architectures

DZone

Event-driven architecture (EDA) gives your system the ability to receive and respond to changes in real time, making it easier to scale. This approach makes systems reactive, scalable, and resilient to failures. Decoupling components is the core theme of EDA, which makes it flexible, allowing it to scale asynchronously based on events.

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Best Practices for Designing Resilient APIs for Scalability and Reliability

DZone

My experiences include tackling challenges like handling service failures in distributed architectures and mitigating the cascading effects of outages in high-demand systems. The Evolution of API Architecture Over the years, API architecture has evolved to address the gaps in its previous designs and keep up with the ever-pressing demands.

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How to Scale Elasticsearch to Solve Your Scalability Issues

DZone

With the evolution of modern applications serving increasing needs for real-time data processing and retrieval, scalability does, too. However, the process for effectively scaling Elasticsearch can be nuanced, since one needs a proper understanding of the architecture behind it and of performance tradeoffs.

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Tips for Building a Scalable Payment Architecture

DZone

That’s why it is important to have a scalable infrastructure that will allow you to accommodate those needs — especially nowadays, when integrating with payment services has become more accessible than ever.

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Evolution of search engines architecture - Algolia New Search Architecture Part 1

High Scalability

What would a totally new search engine architecture look like? In this article, we look at some key milestones in the evolution of search engine architecture. We also describe the challenges those architectures face today. As you’ll see, we grouped the engines into four architecture categories.

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Architecture Patterns: Sharding

DZone

Sharding, a database architecture pattern, involves partitioning a database into smaller, faster, more manageable parts called shards. Sharding is particularly useful for managing large-scale databases, offering significant improvements in performance, maintainability, and scalability. What Is Sharding?