Across the industry, companies are trying to rein in runaway cloud costs by squeezing more carrying capacity out of the instances they run in the cloud. Especially in the Java space, developers are trying to fit workloads into smaller and smaller instances and utilize server resources with maximum efficiency. Relying on elastic horizontal scaling to deal with spikes in traffic means that Java workloads must start fast and stay fast. But some antiquated features of the JVM make it hard to effectively utilize the resources on your cloud instances.
It’s time to re-imagine how Java runs in a cloud-centric world. We started by exploring how compilation can be optimized by offloading JIT workloads to cloud resources. Can we achieve optimized code that is both more performant and takes less time to warm up?