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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.

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API Design Principles for Optimal Performance and Scalability

DZone

The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. What Is API Performance Optimization?

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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

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Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Despite its advantages, Redis’s versatility can introduce complexities, potentially challenging developers familiar with simpler solutions such as Memcached.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Development and demand for AI tools come with a growing concern about their environmental cost. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Rapid development is enabled via Metaflow namespaces , so individual developers can develop without interfering with production deployments.

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