The difference between distributed computing and concurrent programming is a common area of confusion as there is a significant amount of overlap between the two when you set out to accomplish ...

Vipul Kumar Bondugula on why adaptability, smarter concurrency, and failure-aware design are critical to building dependable ...

Transactional memory systems represent a paradigm shift in concurrent programming by abstracting low-level lock management and enabling sequences of operations to be executed as atomic transactions.

Overview:   Serverless 2.0 enables faster, predictable scaling without manual tuning for modern serverless ...

Modern multithreaded, asynchronous code can be hard to debug. The complexity that comes with message passing and thread management results in bugs that can seem non-determinant, with little or no way ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Actors make it easier to build and manage scalable, distributed cloud applications. Each actor can send and receive messages and taking certain actions based on message contents Building for the cloud ...

Relational calculus. Query processing and optimization. Transaction processing: failure, recovery, and concurrency. Database security. Logic-based systems. Parallel ...