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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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8 Ways to Improve Application Performance

DZone

Application performance is critical for delivering a fast and responsive user experience. Slow performance, or high latency, can lead to frustrated users and lost revenue for the organization. From a high level, application latency refers to the delay between the user's request and the application's response.

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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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API Design Principles for Optimal Performance and Scalability

DZone

The post will provide a comprehensive guide to understanding the key principles and best practices for optimizing the performance of APIs. What Is API Performance Optimization? API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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How to Optimize CPU Performance Through Isolation and System Tuning

DZone

CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. To achieve this level of performance, such systems require dedicated CPU cores that are free from interruptions by other processes, together with wider system tuning.

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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

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Maximize user experience with out-of-the-box service-performance SLOs

Dynatrace

This article explores SLOs for service performance. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. SLOs, as a measure of service quality, can track the related availability, reliability, and performance.