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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 285
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Optimizing Server Management With HAProxy’s Advanced Health Checks

DZone

HAProxy is one of the cornerstones in complex distributed systems, essential for achieving efficient load balancing and high availability. This open-source software, lauded for its reliability and high performance, is a vital tool in the arsenal of network administrators, adept at managing web traffic across diverse server environments.

Servers 263
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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246
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Mastering Scalability and Performance: A Deep Dive Into Azure Load Balancing Options

DZone

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Each of these services addresses specific use cases, offering diverse functionalities to meet the demands of modern applications.

Azure 287
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Introducing Impressions at Netflix

The Netflix TechBlog

These events are promptly relayed from the client side to our servers, entering a centralized event processing queue. This setup allows for efficient streaming of real-time data through Kafka and the preservation of historical data in Iceberg, providing a comprehensive and flexible data processing and storage solution.

Tuning 166
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Top PostgreSQL 17 New Features

Scalegrid

Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. Start your free trial today!

Speed 130
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147