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Best Practices for Designing Resilient APIs for Scalability and Reliability

DZone

API resilience is about creating systems that can recover gracefully from disruptions, such as network outages or sudden traffic spikes, ensuring they remain reliable and secure. Here's a closer look at the major milestones in API architecture. This has become critical since APIs serve as the backbone of todays interconnected systems.

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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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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

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What are microservices? An agile architecture for software development

Dynatrace

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.

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What are microservices? An agile architecture for software development

Dynatrace

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.

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Efficient Multimodal Data Processing: A Technical Deep Dive

DZone

Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ?

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