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How to estimate and provision resources for a large-scale web crawler.
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What are the key considerations for provisioning a web crawler?
Estimate workload based on file size and total number of files
Calculate IOPS (Input/Output Operations Per Second)
Apply scaling factor (e.g., ×5) to handle overhead and spikes
Auto-scale resources based on observed complexity and load
How do you estimate workload for provisioning a web crawler?
By calculating the total data size (e.g., 1 billion files × 2 KB each) and throughput required to process it.
Why calculate IOPS (Input/Output Operations Per Second)?
To measure storage performance needs and ensure databases/blob storage can handle read/write operations at scale.
Why apply a scaling factor (e.g., ×5)?
To account for overhead, retries, and peak load — ensuring the crawler doesn’t fail under pressure.
Why use auto-scaling for provisioning?
So the crawler adjusts resources dynamically based on workload complexity and real-time demand.