How would you plan the development of a service that handles a large number of similar resource-intensive tasks?

To develop a service that handles a large number of similar resource-intensive tasks, it is important to plan the architecture considering scalability and resilience.

Main approaches:

• Task queues and asynchronous processing: use message queues (e.g., RabbitMQ, Kafka) to distribute tasks among workers. This allows controlling the load and processing tasks in parallel.

• Thread or worker pool: implement a thread pool to limit the number of tasks executed simultaneously and avoid resource exhaustion.

• Scaling: provide for horizontal scaling of the service so that when the load increases, additional instances can be launched.

• Monitoring and logging: set up metrics collection and logs to track performance and identify bottlenecks.

Example in Java using ExecutorService:

ExecutorService executor = Executors.newFixedThreadPool(10); // pool of 10 threads

for (Task task : tasks) {
    executor.submit(() -> {
        // resource-intensive task processing
        process(task);
    });
}

executor.shutdown();