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MICRO-DATACENTER
CHAOS MONKEYS!
@STEVESLOKA
PGHTECHFEST 2016
OVERVIEW
▸ Overview
▸ Background of Kubernetes
▸ k8s Concepts
▸ DEMO!!! (On a Pi cluster! —————————————————>
▸ Even More Demo
▸ More Demo ———————————————>
▸ Summary
SOFTWARE ARCHITECT
ABOUT ME
KUBERNETES
▸ open-source platform for automating deployment, scaling, and
operations of application containers
▸ Servers 2-N
▸ Open Sourced by Google 2014
▸ github.com/kubernetes/kubernetes
▸ Written in Go
▸ #GIFEE (Google-like Infrastructure for Everyone Else)
GOOGLE EXPERIENCE
‣ Google has been using
containers for over a decade
‣ 2 BILLON Per Week! (With a
“B”)
‣ Everything at Google runs in
a container
“HELMSMAN OF A SHIP”
▸ lean: lightweight, simple, accessible
▸ extensible: modular, pluggable, hookable,
composable, toolable
▸ portable: public, private, hybrid, multi cloud
▸ self-healing: auto-placement, auto-restart, auto-
replication
COMMUNITY
KUBERNETES
PAM
WEBO2 DWIGHTDB01
APPLICATION CONTAINERS
KUBERNETES
CLUSTER OF MACHINES
HIGH LEVEL CONCEPTS
▸node
▸pod
▸scheduler
▸labels
▸deployments / replica set
▸services
ARCHITECTURE
Master(s): Node(s):
ETCD
API SERVER
CONTROLLER
MANAGER
KUBELET PROXYSCHEDULER
CONTAINER
ENGINE
CADVISOR
SOFTWARE DEFINED NETWORK
ADDONS
NODE
NODE RESPONSIBILITIES
1.Runs containers
‣container engine (docker / rkt)
‣kubelet
2.Proxies service requests
‣kubeproxy
POD
REPRESENTS A LOGICAL APPLICATION
CONTAINER
CONTAINER
‣Shared
‣namespaces
‣volumes
POD EXAMPLE:
REST API
(CONTAINER)
LOGGER
(CONTAINER)
Logs
SCHEDULER
SCHEDULES PODS TO RUN ON NODES
▸global
▸best fit chosen based on pod
requirements
▸allows for over-commit
▸pluggable
LABELS
LABELS EXAMPLE:
TYPE=FRONTEND

ENV=PRODUCTION
TYPE=FRONTEND

ENV=STAGING
TYPE=BACKEND

ENV=PRODUCTION
ENG=STEVE

ENV=STAGING
TYPE=FRONTEND
TYPE=FRONTEND

ENV=PRODUCTION
TYPE=FRONTEND

ENV=STAGING
TYPE=BACKEND

ENV=PRODUCTION
ENG=STEVE

ENV=STAGING
ENV=PRODUCTION
TYPE=BACKEND

ENV=PRODUCTION
ENG=STEVE

ENV=STAGING
TYPE=FRONTEND

ENV=PRODUCTION
TYPE=FRONTEND

ENV=STAGING
ENG=STEVE
TYPE=FRONTEND

ENV=PRODUCTION
TYPE=FRONTEND

ENV=STAGING
TYPE=BACKEND

ENV=PRODUCTION
ENG=STEVE

ENV=STAGING
DESIRED STATE
CREATE PODS
Desired: Actual:
POD
POD
POD
POD
POD
POD
ACTION IS TO CREATE 3 PODS ——>
DELETE PODS
Desired: Actual:
POD POD
POD
POD
ACTION IS TO DELETE 2 PODS ——>
HEALTH CHECK
Desired: Actual:
POD
POD
POD
POD
ACTION IS TO CREATE 2 PODS ——>
POD
POD
DEPLOYMENTS / REPLICA SETS
DEPLOYMENTS
▸Pod template
▸Docker image(s)
▸Labels
▸CPU / Memory
▸Replicas
▸Volume Mounts
▸Revisions
▸Strategy
▸Define in JSON ||
YAML
DEPLOYMENT EXAMPLE
DEPLOYMENTS
VOLUMES
▸ emptyDir
▸ hostPath
▸ gcePersistentDisk
▸ awsElasticBlockStore
▸ nfs
▸ persistentVolumeCla
im
▸ flocker
▸ glusterfs
▸ rbd
▸ gitRepo
▸ secret
▸ iscsi
SERVICES
KUBERNETES SAMPLE
NGINX NGINX
LOAD BALANCER
API API API API
LOAD BALANCER
NGINX
DB
LOAD BALANCER
K8S SERVICE
K8S SERVICE
K8S SERVICE
NGINX.NAMESPACE.SVC.K8S.LOCAL
API.NAMESPACE.SVC.K8S.LOCAL
DB.NAMESPACE.SVC.K8S.LOCAL
KUBERNETES PODS ARE
MORTAL. THEY ARE BORN
AND THEY DIE, AND THEY
ARE NOT RESURRECTED.
SERVICE DISCOVERY FOR PODS
▸proxy runs on each node
▸virtual IP per service
▸dns address
▸[serviceName].[namespace].svc.k8s.local
▸dynamic “pods” based on label queries
▸pods are auto-injected with environment variables
SERVICE TYPES
▸ClusterIP: Internal to the cluster (SDN)
▸NodePort: Allocated port (range
30000-32767)
▸LoadBalancer: Provision loadbalancer
on cloud provider
NAMESPACES
PARTITION RESOURCES
▸A mechanism to partition resources created by users into a
logically named group
▸Allows for work to be done in isolation
▸Each namespace is given its own:
1.resources (pods, services, replication controllers, etc.)
2.policies (who can or cannot perform actions in their
namespace)
3.constraints (this namespace is allowed this much quota, etc.)
THANK YOU!
@stevesloka
steve@stevesloka.com
github.com/stevesloka
github.com/upmc-enterprises
enterprises.upmc.com

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Micro-datacenter chaos monkeys!