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Completion of Moore's law suggests that modern-day computers are growing sideways, rather than up, Cummins stated. The power is coming from more cores, rather than more transistors on the same chip. To take benefit of these cores, programs require to do parallel execution at the hardware level. That indicates concurrency in the shows design: Even on single-core chips, where parallelism isn't possible, concurrent shows was necessary for some type of workloads, such as I/O-heavy ones.

This is uncomfortable because writing concurrent code can be notoriously hard. Our market is stepping up with more powerful abstractions and libraries, Cummins mentioned. In the Java space, we're seeing existing libraries such as Netty including powerful concurrency functions, and new structures such as Quarkus and Micronaut structure on that to offer developer-friendly concurrency.

InfoQ spoke with Holly Cummins about things software application designers might need to understand. Many modern-day spam filters are built on Bayesian analysis, which is a kind of probability theory.

Some words show up routinely in spam emails, but are rare in good (" ham") emails. If among those words is present, the likelihood that the email is spam notches up. The opposite is real too; some words simply do not wind up in spam email but although they're common in typical communication.

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: It's ill-advised to attempt and anticipate the future, however I can make some observations based on the past. Jevon's paradox tells us that efficiency enhancements can lead to increased consumption. Over the previous seventy years, the procedure of writing software application has become increasingly more efficient. Think of the leap in performance in between assembler and higher-level languages, or how open source structures serve as accelerators.

Personally, I think the demand for software application will continue to rise, partly as a repercussion of the efficiency increases we're presently experiencing.

Cloud-native computing benefits from many contemporary software application development techniques consisting of microservices, containers, CI/CD, agile methods, and devops. By Scott Carey and Josh Fruhlinger Dec 19, 2025 11 minsAgile DevelopmentCloud ComputingDevops.

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