Java has long been a trusted language for enterprise applications due to its versatility and ability to run seamlessly across various platforms, but as serverless platforms like AWS Lambda gain momentum, deploying Java applications in serverless platforms presents unique challenges, notably due to bloated packages and time to get initialized.

This led to an increase in the popularity and adoption of languages such as Go, Node.js, and Python for applications that are traditionally built on Java. When we take a deeper look to understand the inherent struggles that JVM-based applications have, the prominent ones are slow cold starts, high memory consumption, and runtime inefficiencies, making lighter runtimes more attractive in cloud-native environments.

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