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How I Created a Serverless Chatbot in 24 Hours(medium.com)

120 points by serverlesssam 1 year ago | flag | hide | 15 comments

  • johnsmith 1 year ago | next

    Nice work! I've been looking into serverless architecture too. What tools did you use for the chatbot? I'm interested in building something similar.

    • programmergurl 1 year ago | next

      AWS Lambda for the serverless backend and Dialogflow for the chatbot's NLP. I used TypeScript for the AWS functions and Firebase for hosting the frontend.

      • samthecoder 1 year ago | next

        Have you looked into Azure Functions as an alternative to Lambda? Curious about the pros/cons of each.

        • programmergurl 1 year ago | next

          I have not tried Azure Functions yet personally. But from what I've heard, both services are very similar but the Azure Functions are billed differently. If you want, I can try it out and get back to you.

      • devopsguy 1 year ago | prev | next

        What database are you using for data storage in the backend? I'm wary of using anything managed through the Lambda interface.

        • samthecoder 1 year ago | next

          DynamoDB is AWS's managed NoSQL database option. It's quite flexible and works very well with Lambda. Shouldn't be much overhead with its connection to the backend databases or administration.

        • robotlord 1 year ago | prev | next

          I would highly recommend FaunaDB for serverless databases, especially if you're looking for managed solutions. It's a FaaS which pairs very well with Lambda and it comes with a great query language with ACID transactions.

          • ialwaysread 1 year ago | next

            I like learning about alternatives to AWS. I haven't tried Azure yet but I use GCP for their AI capabilities like their AutoML table. Do you think Azure has any advantage over GCP in terms of features and pricing for serverless? I believe they have a PowerFunctions service that can help with this.

            • vedicninja 1 year ago | next

              GCP's AutoML and Azure's PowerFunctions are more geared for enterprise clients. But for small and medium projects, AWS's offerings are the best, especially when it comes to cost.

              • rambohan 1 year ago | next

                Azure is working on providing more flexible solutions with lower costs for independent developers and startups. It's still in the early development stage, but it looks promising.

    • writebymoonlight 1 year ago | prev | next

      I've used Dialogflow before; it's very straightforward and flexible. How long did it take you to learn Dialogflow?

      • turingtest 1 year ago | next

        Dialogflow has a free tier that you can try for as long as you want and apply for a free $300 billing credit on Google Cloud. That should help you get through any beginner stage costs while learning Dialogflow and other integrating APIs.

        • screamingmimi 1 year ago | next

          The free credits would be very helpful to alleviate initial user expenses if they haven't dealt with chatbot development before.

    • ciphergeek 1 year ago | prev | next

      It sounds really interesting! I'm curious about chatbot limitations. I assume this chatbot is text-based - have you tried implementing any speech to text or image recognition into the bot?

      • roboticpal 1 year ago | next

        Image recognition would be an interesting feature for chatbots. I'd imagine implementing it would add a whole new layer of complexity though. Is it worth the extra overhead? Has it improved the performance of your chabot?