Real-world examples of thread pooling and task scheduling in cloud architectures
Moving beyond theory, let’s dive into real-world scenarios where Java’s concurrency tools shine in cloud architectures. These examples showcase how to optimize resource usage and ensure application responsiveness under varying loads.
Example 1 – keeping data fresh with scheduled tasks
Imagine a cloud-based application that needs to regularly crunch data from various sources. Scheduled tasks are your secret weapon, ensuring data is always up to date, even during peak hours.
Objective: Process data from multiple sources periodically, scaling with data volume.
Environment: A distributed system gathering data from APIs for analysis.
Here is the code snippet:
public class DataAggregator {
private final ScheduledExecutorService scheduler = Executors. newScheduledThreadPool(5);
public DataAggregator(...
