Once again, here you need a managed service your cloud provider handles for you.įuture improvements / technology decisions included: Ultimately migrated to Amazon RDS for Aurora / MySQL when it got released. On the database side: Amazon RDS / MySQL initially.
Storage-wise, we went with Amazon S3 and ditched any pre-existing local or network storage people used to deal with in our legacy systems. Our various applications could now be deployed using AWS Elastic Beanstalk so we wouldn't waste any more efforts writing time-consuming Capistrano deployment scripts for instance.Ĭombined with Docker so our application would run within its own container, independently from the underlying host configuration. We've however broken up the monolith and decoupled the front-end application from the backend thanks to the use of Rails API so we'd get independently scalable micro-services from now on. The first enabler to this was to make use of the cloud and go with AWS, so we would stop re-inventing the wheel, and build around managed/scalable services.įor the SaaS product, we kept on working with Rails as this was what my team had the most knowledge in. I had inherited years and years of technical debt and I knew things had to change radically. The company also does provide Data APIs to Enterprise customers.
#Microsoft power bi alternative software
This is a SaaS software helping real estate professionals keeping up with their prospects and leads in a given neighborhood/territory, finding out (thanks to predictive analytics) who's the most likely to list/sell their home, and running cross-channel marketing automation against them: direct mail, online ads, email. Back in 2014, I was given an opportunity to re-architect SmartZip Analytics platform, and flagship product: SmartTargeting.
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