The purpose of the downloader function is not about downloading, but about getting the file in a state where it can be shared amongst the other functions within the Tape Index natural language processing flow. Since each step needs to reference the file being processed, it’s much faster and efficient to not have to download it every time it’s required. Here’s a refresher of the NLP flow…
Read MoreAs mentioned before, Modal is a powerful serverless computing platform. These means that code (functions) can be called on demand and only run for as long as the function requires. In many cases, this method of computing can be significantly cheaper and more scalable than other solutions. Since Tape Index needs to take advantage of GPU cores for certain aspects of its NLP flow, Modal is an ideal and cost-effective solution for running GPU enabled servers on demand…
Read MoreIf you’re familiar with serverless computing especially functions as a service (FaaS) like AWS Lambda or DigitalOcean Functions, you might be aware of the limitations that these services have. Limitations usually revolve around compute power, runtime environments and the additional packages you might be able to install to get a function running. For Tape Index and its natural language processing (NLP) flow, I quickly hit all those limitations from the start. In my searching for alternative solutions I came across Modal. Modal is similar to serverless functions, but fits more in line with what I would consider a serverless application…
Read MorePodcaster and Simplecaster Luke Brawner has been working on a massive multipart podcast project called Breakin’ Hearts. He has accumulated digital reams of research, audio, video, photos and transcripts that at some point he will need to sift through. Even if he was the most organized person in the world, finding all the right clips to tell the perfect story is still a monumental task. In the most ideal scenario he would have organized all of his folders and files with the proper naming conventions…
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