Remove concurrency
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Article: Designing for Concurrency: the Hilbert’s Hotel Problem in Go

InfoQ Articles

In this article, we want to show how achieving concurrency is the result of an appropriate design. A concurrent solution may turn out to be more elegant and easier to reason about than an equivalent sequential algorithm. To illustrate these concepts we use, as an example, the Hilbert’s Hotel mathematical problem. By Enrico Piccinin

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JDK 20 Introduces Structured Concurrency

Techwell

The new incubating API for structured concurrency introduces a new style of concurrent programming with several additional benefits.

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What is Promise.all in JavaScript - An Ultimate guide | Simplilearn

Simplilearn

Developers face situations where multiple asynchronous tasks need to be executed concurrently, and we need a way to wait until all of them are completed before proceeding. JavaScript is an asynchronous language that, most of the time, relies on promises to handle asynchronous operations. This is wher. Read More.

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Article: Spring Boot 3.2 and Spring Framework 6.1 Add Java 21, Virtual Threads, and CRaC

InfoQ Articles

They make concurrent programming simpler and more efficient with virtual threads, as well as improving reactive programming and Kotlin coroutines. Spring Framework 6.1 and Spring Boot 3.2 run on Java 21.

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How to Select the Right Database

Dataversity

The current database market offers hundreds of databases, all of them varying in data models, usage, performance, concurrency, scalability, security, and the amount of supplier support provided. In today’s data-driven world, technologies are changing very rapidly, and databases are no exception to this. Selecting the right […].

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Article: Virtual Threads: New Foundations for High-Scale Java Applications

InfoQ Articles

They dramatically reduce the effort of writing, maintaining, and observing high-throughput concurrent applications. Virtual threads are a lightweight implementation of Java threads, delivered as a preview feature in Java 19. By Brian Goetz.

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Teradata Storage Optimization

BizAcuity

Assign roughly 0.25% of the total space to each user as an upper limit, ensuring that each receives at least as much space as the size of the largest table they access concurrently. Optimize the other factors such as average spool use per user, number of concurrent users, number of concurrent queries permitted for any one user.