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OW2con'16 Keynote address: Kubernetes, the rising tide of systems administration.
The document discusses Kubernetes, an open-source container orchestration platform developed by Google, which facilitates the management of applications across various environments. It highlights Kubernetes' core functionalities such as scheduling, scaling, and monitoring, and its integration with cloud-native infrastructures. The text emphasizes Kubernetes' robust ecosystem, continuous improvements, and substantial momentum within the cloud computing landscape.
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OW2con'16 Keynote address: Kubernetes, the rising tide of systems administration.
- 1. Kubernetes The rising tideof system administration
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- 7. The Anatomy ofa Large-Scale Hypertextual Web Search Engine 1996, Sergey Brin and Lawrence Page Computer Science Department, Stanford University, Stanford, CA 94305
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- 10. Google is livinga few years in the future, and sending the rest of us messages Doug Cutting, Hadoop creator November 2013 “
- 11. More on thatlater
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- 14. Building what’s next14 "Borg" Google Cloud Platform 14
- 16. Google Cloud Platform16 A datacenter is not a collection of computers, a datacenter is a computer.
- 17. Google Cloud Platform17 What applications run on this computer?
- 18. Google Cloud Platform18 Application containers Lightweight Linux environment Hermetically sealed, deployable application Introspectable, runnable artifact
- 19. Google Cloud Platform19 Resource isolation Predictability Quality of Service Batch vs. interactive Containers at Google Resource accounting Efficient overcommit
- 20. Google Cloud Platform20 Server administration Flying the plane
- 21. Google Cloud Platform21 Clusters/DevOps Programming the autopilot
- 22. Google Cloud Platform22 Efficiency Optimized packing, better scaling Performance Active environment tuning Continuous integration Easy and reliable Robustness Active monitoring, self healing
- 23. Google Cloud Platform23 Containers at Google We launch over 2 Billion containers per week. Google Cloud Platform 23
- 25. Google Cloud Platform25 web browsers BorgMaster link shard UI shardBorgMaster link shard UI shardBorgMaster link shard UI shardBorgMaster link shard UI shard Cell Scheduler borgcfg web browsers scheduler Borglet Borglet Borglet Borglet BorgMaster link shard read/UI shard Config file persistent store (Paxos) Binary
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- 31. Building what’s next31 Distributed systems are hard
- 32. Distributed systems toolkit Makingreliable, scalable, agile distributed systems a CS101 exercise.
- 33. Google Cloud Platform33 Greek for “Helmsman”: the root of the word “governor” and “cybernetic” ● Container orchestrator ● Builds on Docker containers ○ also supporting other container technologies ● Multiple cloud and bare-metal environments ● Supports existing OSS apps ○ cannot require apps becoming cloud-native ● Inspired and informed by Google’s experiences and internal systems ● 100% Open source, written in Go Let users manage applications, not machines κυβερνήτης
- 34. Google Cloud Platform34 web browsers BorgMaster link shard UI shardBorgMaster link shard UI shardBorgMaster link shard UI shardBorgMaster link shard UI shard Cluster Scheduler kubectl web browsers scheduler kubelet kubelet kubelet kubelet k8s Master controller manager API server Config file persistent store (etcd) Binary
- 35. Google Cloud Platform35 ● Scheduling: Decide where my containers should run ● Lifecycle and health: Keep my containers running despite failures ● Scaling: Make sets of containers bigger or smaller ● Naming and discovery: Find where my containers are now ● Load balancing: Distribute traffic across a set of containers ● Storage volumes: Provide data to containers ● Logging and monitoring: Track what’s happening with my containers ● Debugging and introspection: Enter or attach to containers ● Identity and authorization: Control who can do things to my containers Kubernetes abstracts away:
- 36. Google Cloud Platform36 ● Kubernetes is one of the three legs of Cloud Native ○ Takes in container packaged apps ○ Emits microservices architectures ● Announced June 2014, in GA since June 2015 ● 1.4 is due out in 1 week! ● Under half the code is now written by Google ● Stewarded by the Cloud Native Compute Foundation™ ○ A Linux Foundation Collaborative Project™ Kubernetes history
- 37. Google Cloud Platform37 Kubernetes is stable ● Concrete ideas from 10 years of production experience ○ and mistakes! ● v1 API; breaking changes held until v2 ● Alpha, Beta and GA tracks for new features ● Thorough end-to-end testing ● New work taking place outside of core ○ Volume & network plugins ○ Custom controllers ○ ThirdPartyResources
- 38. Google Cloud Platform38 Kubernetes has a solid core ● Core primitives: ○ pods, services, volumes, labels, controllers, etc ● Continual improvement using these basic concepts ○ Ingress: connect a load balancer to a Service ○ ReplicaSet: fungible replicas ○ DaemonSet: put a pod on every node ○ Job: batch workloads ○ ScheduledJob: run a Job at a certain time (cron)
- 39. Google Cloud Platform39 Kubernetes has a healthy ecosystem Some examples: ● Cloud providers: Azure, VMware, Openstack, Rackspace, CenturyLink ● Distros: CoreOS Tectonic, Mirantis Murano (OpenStack), RedHat Atomic, Hyper.sh, VMTurbo ● PaaS: RedHat OpenShift, Deis, Rancher, WSO2, Gondor/Kel, Apcera ● CD: Fabric8, Shippable, CloudBees, Solano ● Deployment: Kumoru, Redspread, Spinnaker ● Package managers: Helm, KPM ● Monitoring: Prometheus, Sysdig, Datadog ● Networking: Weaveworks, Tigera, OpenContrail ● Storage: NetApp, ClusterHQ ● Appliances: Redapt, Diamante
- 40. Google Cloud Platform40 Kubernetes has great momentum
- 42. laptop$ kubeadm --help kubeadm:bootstrap a secure Kubernetes cluster easily. /========================================================== | KUBEADM IS ALPHA, DO NOT USE IT FOR PRODUCTION CLUSTERS! | | | | But, please try it out! Give us feedback at: | | https://github.com/kubernetes/kubernetes/issues | | and at-mention @kubernetes/sig-cluster-lifecycle | ==========================================================/ Example usage: Create a two-machine cluster with one master (which controls the cluster), and one node (where workloads, like pods and containers run). On the first machine ==================== master# kubeadm init master Your token is: <token> On the second machine ===================== node# kubeadm join node --token=<token> <ip-of-master>
- 44. Google Cloud Platform44Google Cloud Platform 44 More efficient and happier operations teams More reliable infrastructure and applications More efficient usage of resources Lower business risk
- 45. Kubernetes The rising tideof system administration Google Cloud Platform 45
- 46. Google Cloud Platform46 Thank you @craigbox