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ryanl-ee

5 karma · joined March 30, 2016

[ my public key: https://keybase.io/ryanlee; my proof: https://keybase.io/ryanlee/sigs/HvVBHRAi-SX7jq8dTADHV_B6318DmyraVIQSfnamugw ]
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ryanl-ee··on A simple DIY Heroku replacement to keep your hosting costs down
It's easy enough to set that up (though it's not the recommended use case) using kubeadm.
ryanl-ee··on Snap commits $2B over 5 years for Google Cloud infrastructure
Azure Container Service is simply a PaaS-ish offering of Swam, DC/OS, or Kubernetes. It still spins up VMs that you can log into, but handles deployment/provisioning of the product, and makes some assumptions about your use case. It's a great way to push a button and have a "real" deployment of those services to evaluate, especially if your goal is a platform-agnostic target. I work for an Azure-focused cloud consultancy and for any serious production environment we still build out a more custom deployment using a combination of Terraform, Chef, Cloud-Init, CoreOS, etc.
ryanl-ee··on Streama – A self-hosted streaming application with your own media library
I use Madsonic with the Dsub Android app.
ryanl-ee··on Kubernetes at Box: Microservices at Maximum Velocity
Have you checked out DC/OS? It's built on Mesos/Marathon/etc. and has some pretty cool service discovery/routing built in, i.e. Minuteman which allows you to define virtual IPs and ports that map to specific services.
ryanl-ee··on Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
Well, the included packages in the "dcos package" CLI repo are just the prepackaged frameworks. You can actually deploy Kubernetes on top of DCOS in the same way - it natively supports Docker containers as an execution method.
ryanl-ee··on Using Spark and Zeppelin to Process Big Data on Kubernetes 1.2
Have you checked out DCOS? Once you have your cluster set up, your path to installing Spark is running "dcos package install spark" on your laptop.