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We're not exactly a startup, but a small growing data science, analyst, and engineering team in a bigger company. You name it... but a typical data and web stac
by standyro 9y ago
We're not exactly a startup, but a small growing data science, analyst, and engineering team in a bigger company. You name it... but a typical data and web stack.
OS/Distros: FreeBSD and Linux (CoreOS and CentOS)
Languages: Python (Data Science) & Javascript (Front End)
Frameworks: Flask, Django, Angular, React, Bokeh, Tensorflow, Scikit-learn
Container Services: Docker, Mesos/Marathon/DCOS (currently testing Kubernetes in GKE - Google Cloud)
Databases: Redshift, Postgres, Cassandra/Scylla
Deployment Tools: Jenkins, Github, Gitlab (different team)
All running in AWS deployed through CloudFormation and Salt.
There's even a Windows Server 2016 instance thrown in there for good measure running Tableau. That's the most reliable part of our stack. </rolls-eyes>
- huangbong 9y agoNode.js/GraphQL/Next.js/PostgreSQL/AWS Lambada (via up). Entirely serverless stack with the application state residing in the DB and a JWT to identify the user. No OS, containers, kubernetes, instances, etc to deal with other than a single RDS instance.