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How to Scale Elasticsearch to Solve Your Scalability Issues

DZone

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. This extra network overhead will easily result in increased latency compared to a single-node architecture where data access is straightforward.

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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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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

Network 296
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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? What is Apache Kafka?

Latency 147
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Best Practices for Scaling RabbitMQ

Scalegrid

This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount. Imagine a bustling city with a network of well-coordinated traffic signals; RabbitMQ ensures that messages (traffic) flow smoothly from producers to consumers, navigating through various routes without congestion.

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Lessons learned from enterprise service-level objective management

Dynatrace

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Not all attempts succeed on the first try.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 246