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Designing High-Performance APIs

DZone

Welcome back to our series on API design principles for optimal performance and scalability. In our previous blog post, we explored the importance of designing high-performance APIs and the key factors that influence API performance.

Design 267
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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

Caching is a critical technique for optimizing application performance by temporarily storing frequently accessed data, allowing for faster retrieval during subsequent requests. Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.

Cache 161
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Article: Donkey: A Highly-Performant HTTP Stack for Clojure

InfoQ

Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs. In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks. By Yaron Elyashiv.

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Unlocking Performance: Exploring Java 21 Virtual Threads [Video]

DZone

Virtual threads are a lightweight and efficient alternative to traditional platform threads, designed to simplify concurrent programming and enhance the performance of Java applications. They are designed to address the challenges of writing, maintaining, and optimizing high-throughput concurrent applications.

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Article: How Netflix Ensures Highly-Reliable Online Stateful Systems

InfoQ

Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix. By Joseph Lynch

Systems 106
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Metadata Synchronization in Alluxio: Design, Implementation, and Optimization

DZone

Meanwhile, understanding the internal process is important in order to tune the performance. This article describes the design and the implementation in Alluxio to keep metadata synchronized. Why is Metadata Sync Critical in Alluxio.

Design 244
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Enhancing Performance: Optimizing Complex MySQL Queries for Large Datasets

DZone

Poorly optimized queries can lead to slow response times and increased load on the database server, negatively impacting user experience and system performance. This article explores strategies to optimize complex MySQL queries for efficient data retrieval from large datasets, ensuring quick and reliable access to information.