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Choreography Pattern: Optimizing Communication in Distributed Systems

DZone

In today's rapidly evolving technology landscape, it's common for applications to migrate to the cloud to embrace the microservice architecture. While this architectural approach offers scalability, reusability, and adaptability, it also presents a unique challenge: effectively managing communication between these microservices.

Systems 274
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Presentation: Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System

InfoQ

Facundo Agriel dives into the architecture of Magic Pocket, some early key design patterns, and the challenges of operating such a system at this scale. By Facundo Agriel

Systems 52
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Presentation: Maximizing Performance and Efficiency in Financial Trading Systems through Vertical Scalability and Effective Testing

InfoQ

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

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Presentation: Performance: Adventures in Thread-per-Core Async with Redpanda and Seastar

InfoQ

John Spray describes an experience of building high performance systems with C++20 in an asynchronous runtime, and explores the challenges & tradeoffs in adopting a thread-per-core architecture. By John Spray

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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

Latency 212
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Presentation: Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla

InfoQ

Lily Mara, Hunter Laine walk through the design of a system, its performance characteristics, and how they scaled it. By Lily Mara, Hunter Laine

Design 84
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Presentation: Leveraging Determinism

InfoQ

Frank Yu discusses how to decrease bandwidth usage and buffering across the system, protect against thundering herd problems, and simplify the logic of gateway and persistence services. By Frank Yu

Systems 52