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You are designing an ML pipeline for data processing, model training, and deployment using various Google Cloud services, and you have developed code for each task. Given the high frequency of new file arrivals, you need an orchestration layer that initiates only when new files appear in your Cloud Storage bucket. Additionally, you want to minimize compute node costs. What approach should you take?