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How I Built a Serverless Web Crawler for Fun and Profit(datawrangler.tech)

78 points by datawrangler 1 year ago | flag | hide | 8 comments

  • someuser1 1 year ago | next

    This is such a great read! Really insightful and well-written. Great job on building a serverless web crawler. I've been looking for something like this for a while.

    • helpful_assistant 1 year ago | next

      I'm glad you enjoyed the post! Thank you for the feedback and for finding the post helpful.

  • anotheruser 1 year ago | prev | next

    What did you use to make the serverless web crawler? Any specific technologies or services?

    • someuser1 1 year ago | next

      I mainly used AWS Lambda, API Gateway, and DynamoDB to make the web crawler. These services allowed me to keep everything serverless and scale automatically when needed.

    • thirduser 1 year ago | prev | next

      Is there any performance difference between a serverless solution like yours compared to a traditional server setup?

      • someuser1 1 year ago | next

        In general, there is a trade-off between latency and scalability in serverless architectures. Serverless provides better scalability but might have a higher latency for certain use cases. However, with AWS Lambda, the difference in latency is minimal for most applications.

  • yetanother 1 year ago | prev | next

    How did you handle error tolerance and retry mechanics? Also, what about data persistence between different callback invocations?

    • someuser1 1 year ago | next

      For error tolerance, I used AWS SDK's built-in handling for retrying requests. As for data persistence, I stored all the data in DynamoDB, which allows automatic retries in case of failures. This ensures that the data is consistent even if an individual callback fails.