Deploy RShiny on Kubernetes with a Helm Chart
If you want a very robust solution to deploy your RShiny applications a managed Kubernetes service on AWS, or EKS, is a great choice! Kubernetes has, for now, fully dominated the DevOps and deployment space in terms of deploying containerized services.
If you'd like to learn more about deploying RShiny please consider checking out my FREE Deploy RShiny on AWS Guide!
Should I Use Kubernetes to Deploy my RShiny App?
As with all things, there are pros and cons to using Kubernetes.
Cons
- Kubernetes is a beast to get started with.
- You need to have your RShiny App packaged with docker.
Pros
- Kubernetes is incredibly well supported across a range of providers, including AWS, GCP, Azure, Digital Ocean, etc.
- Kubernetes is complicated, but with complicated comes armies of engineers who want to abstract away the complicated into configuration files. So you if you stick with the growing pains it's likely you will get a lot of benefit and things will get less painful over time.
- Kubernetes has...
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Would you like to work together to design and implement your data science and analytics infrastructure? Do you need an AWS Batch or HPC cluster for your High Throughput analysis, or a Data Visualization Application deployed on AWS?
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During these tutorials I will teach you to:
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Apache Airflow Project Template
Build out your Data Science with Apache Airflow.
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Deploy Kubernetes on AWS with:
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This guide provides you with a birds eye view of which AWS services to use for:
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If you're looking for even more in depth guides or project templates check out my store.