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and I have spent my day job doing everything related to web portals (business case, business plans, marketing, back-office operations, project management, product management) but never got my hands into code yet. So I've been working as a freelancer building websites using Wordpress, limiting myself to available templates and customizing it (drag and drop no code involvement) and blending between plugins to get the requirements as much as possible. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product. This provides our data scientist a one-click method of getting from their algorithms to production. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. That requires serving layer that is robust, agile, flexible, and allows for self-service. We have dozens of data products actively integrated systems. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see ).Īt Stitch Fix, algorithmic integrations are pervasive across the business. model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters. While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.īeyond data movement and ETL, most #ML centric jobs (e.g. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs.
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Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically.
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Apache Spark on Yarn is our tool of choice for data movement and #ETL. We store data in an Amazon S3 based data warehouse. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. The algorithms and data infrastructure at Stitch Fix is housed in #AWS. * I still have a few Disqus comment threads to map I think I might write an importer for that. * I did find some of the lost WordPress posts on that I downloaded with the wayback machinedownloader. I'm working on a command-line Ruby gem for the current plan. I did notice the old URLs were stored in the front matter. Although, there may be something in Jekyll that could manage the redirects.
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The URI format is different so a complete redirect wouldn't work. * Set up redirects for all posts on blogger. The Importer was fairly straightforward for the existing blog posts. I looked at a few options where I wouldn't have to worry about hosting cost indefinitely and Jekyll stood out with GitHub Pages. I blogged about writing again on the existing Blogger blog but it didn't feel right. I eventually graduated from BizSpark and outgrew the credit allotment. A lot happened in the time after that migration but I stopped coding and changed cities during tumultuous times that taught me many lessons concerning mental health and productivity. I created a WordPress blog and did a migration at some point. I started a company and joined BizPark with the Microsoft Azure allotment. I decided to start blogging in 2013 on Blogger. I've heard that I have the ability to write well, at times.