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In an ecommerce example, a payments service is an example of a complex workflow:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>A payment type may be cash, check, or credit card, all of which have different processes.\u003C\u002Fli>\n\u003Cli>A credit card payment has many possible states, from successful to declined.\u003C\u002Fli>\n\u003Cli>The service may need to issue refunds or credits for a portion or the entire amount.\u003C\u002Fli>\n\u003Cli>A third-party service that processes credit cards may be unavailable due to an outage.\u003C\u002Fli>\n\u003Cli>Some payments may take multiple days to process.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Implementing this logic in a Lambda function can result in ‘spaghetti code’ that’s difficult to read, understand, and maintain. It can also become very fragile in production systems. The complexity is compounded if you must handle error handling, retry logic, and inputs and outputs processing. 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