Barriers to adoption of Kubernetes in production

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if you can drink and watch Star Wars, you can handle Kubernetes in production (because that’s exactly what we did) Ilya Dmitrichenko

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1. motivation 2. barriers to adoption 3. our team’s experience 4. tools/demo kube-1 kube-3 kube-2 kube-4 kube-6 kube-5 kube-7

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deliver faster your organisation absolutely must

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adopt microservices everyone in your team agreed that you will

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adopt containers everyone in your team agreed that you will

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adopt kubernetes everyone in your team agreed that you will

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faster development everyone in your team sees that microservices are key to

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reliable deployment everyone in your team sees that containers are key to

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scalability & utilisation everyone in your team sees that kubernetes is key to

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and most of people in this room will agree with you.

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and most of people in this room will agree with you. in theory.

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and most of people in this room will agree with you. in theory. while in practice, there are still more questions…

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more questions will arise because your team has opinions

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more questions will arise because your team has opinions you cannot take very big risk

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more questions will arise because your team has opinions you cannot take very big risk and legacy systems are a thing.

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let’s see what these questions are…

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deliver faster don’t forget that you must

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1. language & frameworks 1/5

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1. language & frameworks you know what’s best for your application

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1. language & frameworks with microservices this is much easier then it used to be

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2. toolchains & workflow 2/5

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2. toolchains & workflow you already know how to compile your app, write tests & configure CI

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2. toolchains & workflow building containers is easy, most major CI systems support it

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3. infrastructure 3/5

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3. infrastructure creating a Kubernetes cluster is fairly easy, for some users

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3. infrastructure not as easy if you have opinions and non-trivial requirements

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4. shipping pipeline 4/5

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4. shipping pipeline Kubernetes has all the primitives, but tooling isn’t fully understood yet

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4. shipping pipeline what is the best practice to handle deployment of your application?

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5. operations 5/5

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5. operations what are the tools you need to execute most efficiently?

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let’s summarise

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we call this ABCDE of Microservices A) write the app B) test and build it C) provision a cluster D) deploy the app E) execute

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deliver faster? that’s all theory, but how are you going to

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practical concerns about infrastructure

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practical concerns about infrastructure opinions & risks

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practical concerns about infrastructure all-new and shiny

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operating system common examples of infrastructure opinions

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automation tools common examples of infrastructure opinions

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common examples of infrastructure opinions cloud provider

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common examples of infrastructure opinions virtual vs bare-metal

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common examples of infrastructure opinions commercial support

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common examples of infrastructure opinions cluster management

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common examples of infrastructure opinions troubleshooting

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common examples of infrastructure opinions databases

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common examples of infrastructure opinions access control

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common examples of infrastructure opinions platform as a service?

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kubernetes depends on infra a lot all of the opinions will surface

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Controller Manager [kube-controller-manager] Scheduler [kube-scheduler] API Server [kube-apiserver] Cluster Nodes [kube-proxy] [kubelet] etcd1 etcd2 etcd3 all of the opinions will surface and you still need really?

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Controller Manager [kube-controller-manager] Scheduler [kube-scheduler] API Server [kube-apiserver] Cluster Nodes [kube-proxy] [kubelet] etcd1 etcd2 etcd3

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our team’s use-case scope-app-259 0 pods app-mapper 2 pods The Internet users 2 pods kubernetes 0 pods Uncontained ip-172-20-0-149 Uncontained ip-172-20-0-148 scope-app-327 1 pod scope-app-281 0 pods frontend 2 pods scope-app-301 0 pods fairly simple Go app, only 6 services

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our team’s experience

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our team’s experience tried a few different approaches for local and cloud deployments

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our team’s experience some cloud providers are less equal than others

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our team’s experience some cloud provider services are slower than others

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our team’s experience setup from scratch is hard, especially due to enforced security

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our team’s experience self-hosting is nice, but somewhat harder to reason about

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our team’s experience operating systems and and configuration

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our team’s experience declarative provisioning wins and network-first was a revelation

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our team’s experience checkout git.io/k8s-anywhere and see for yourself

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we needed simple and robust provisioning in any environment

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we needed zero-config scale-out and in-place upgrade

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we built easy to adopt cluster provisioning tools

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we built containerised public key infrastructure solution

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we built weave as a bootstrap/management and pod networking

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in a nutshell weavedns, few small shell scripts and hyperkube images

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in a nutshell just pick a few docker hosts and launch weave

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in a nutshell pick worker, master & etcd nodes. and off you go!

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live demo ip-172-20-0-164 ip-172-20-0-222 ip-172-20-0-244 ip-172-20-0-243 ip-172-20-0-242 ip-172-20-0-12 ip-172-20-0-51

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potentially. are you anywhere closer to delivering faster?

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scope.weave.works ilya-proxy-e20b5 1 container metrics-98d4fd7-ybopj 1 container dbshell-fons-e6791 1 container users-cb08840-kjd39 1 container dbshell-fons-14417 dbshell-fons-2eab5 dbshell-fons-2d95f Uncontained ip-172-20-0-149 Uncontained ip-172-20-0-148 app-mapper-77d895a-rjqc1 app-mapper-77d895a-bk4k5 1 container The Internet users-cb08840-dj03q 1 container frontend-515708e-0y9h0 1 container

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@errordeveloper

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weave release v1.5

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party! users-cb08840-kjd39 2 containers metrics-98d4fd7-ybopj 2 containers users-cb08840-dj03q 2 containers frontend-515708e-0y9h0 2 containers dbshell-fons-e6791 2 containers app-mapper-77d895a-bk4k5 2 containers Uncontained ip-172-20-0-149 ilya-proxy-e20b5 2 containers The Internet Uncontained ip-172-20-0-148