Dynamic management of kubernetes

•

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Martin Podval

Software

… which are simply doable
… w/ autoscaling

Why?
To simplify complicated things
● Scale different customers in different way
● Divide and do not affect multiple environments
● Different image versions for different customers
● Specific customizations for specific customer
● Cannary but “full-environment”
● Allows to deploy complex changes
● Easy management by labels

Kubernetes allows a lot of fun
Kube API is REST
● create your own `pods`, `rc` and `svc`
● deploy them
● manage them
… during the runtime!

Management pod?
● Just another docker container
● With access to KubeAPI
● Java & SpringBoot
● Your `Rc`s and `Svc`s described in the code
● REST calls and long-polling watches - by etcd
● Auto-scaling by k8s or according to KubeAPI calls

K8s API and Fabric8 Client
● Described in Swagger
● Documentation, examples
● Full-fledged
● Fluent API
● Builders
● Auto-generated
… it just works!

What was tricky?
Port management
● K8s does not allows to change ports
● Static tcp load balancer, nginx
● TCP connection failures on KubeProxy

What was tricky? Contd.
● Complicated testing - KubeApi required
● Everything is async - container creation takes minutes
● Watching resource versions
● Orphaned containers

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