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Hey everyone!
I’m pretty new to Pipedream and have been exploring pipedream to integrate Pipedream into our Monday.com-based automation system. I been exploring how to scale efficiently and would love to chat through some logistics around throttling strategies, HTML limits, trigger credit usage (like the credit cap), and general best practices for high-volume workflows.
If anyone’s available to hop on a quick call or point me to relevant resources, I’d really appreciate it. Looking forward to learning from the community and contributing where I can! (edit
Hey everyone!
I’m pretty new to Pipedream and have been exploring pipedream to integrate Pipedream into our Monday.com-based automation system. I been exploring how to scale efficiently and would love to chat through some logistics around throttling strategies, HTML limits, trigger credit usage (like the credit cap), and general best practices for high-volume workflows.
If anyone’s available to hop on a quick call or point me to relevant resources, I’d really appreciate it. Looking forward to learning from the community and contributing where I can!
Welcome to Pipedream! It’s great that you’re looking to scale your Monday.com automations efficiently. Here’s a breakdown of your main concerns and some best practices and resources to help you get started: — ## Scaling, Throttling, and High-Volume Best Practices ### 1. Throttling Strategies - API Rate Limits: Both Pipedream and Monday.com have API rate limits. Always check Monday.com’s API rate limits and design your workflows to respect them. - Delays and Retries: Use delay steps in Pipedream to space out requests. See Pipedream’s flow control docs for adding delays between steps or batches. - Error Handling: Add try/catch blocks in code steps and use custom error handling to retry failed requests or gracefully handle errors. See this blog post for production workflow tips. ### 2. HTML Limits - If you’re sending or processing HTML in Pipedream, be aware of payload size limits. Each event payload and step output should be under 256MB, but best practice is to keep payloads much smaller for speed and reliability. - For very large HTML or file payloads, consider storing data in a storage service (like S3) and passing references/URLs in your workflow. ### 3. Trigger Credit Usage & Credit Cap - Credits: Each workflow execution (“run”) consumes at least 1 credit. Additional credits may be used if your workflow exceeds included compute or event limits. - Credit Cap: You can set a monthly credit cap in your workspace settings to avoid unexpected charges. - Plan Details: You should visit Pricing - Pipedream for the latest pricing, plan limits, and credit details. ### 4. Best Practices for High-Volume Workflows - Batch Processing: Where possible, process items in batches to reduce the number of workflow runs. - Filtering: Use filter steps early in your workflow to avoid unnecessary downstream processing. - Monitoring: Set up error notification steps (e.g., email or Slack) to alert you to failures. - Testing: Test with sample data and gradually increase volume to monitor performance and costs. — ## Resources & Community - Docs: Pipedream Docs - Component Development: Component Dev Community - Support: If you need to talk to a human or want to request a call, visit Support - Pipedream - Community: Pipedream Community — If you have specific workflow patterns or technical questions, feel free to share them here! If you’d like to connect with someone directly, Support - Pipedream is the best way to get in touch with the Pipedream team.