Eugeny Shtoltc - IT Cloud

apiVersion: extensions / v1beta1

kind: Deployment

metadata:

annotations:

deployment.kubernetes.io/revision: "1"

creationTimestamp: 2018-12-16T10: 23: 26Z

generation: 1

labels:

run: Nginx

name: Nginx

namespace: default

resourceVersion: "1612985"

selfLink: / apis / extensions / v1beta1 / namespaces / default / deployments / Nginx

uid: 9fb3ad6a-011c-11e9-bfaa-42010aa60088

spec:

progressDeadlineSeconds: 600

replicas: 1

revisionHistoryLimit: 10

selector:

matchLabels:

run: Nginx

strategy:

rollingUpdate:

maxSurge: 1

maxUnavailable: 1

type: RollingUpdate

template:

metadata:

creationTimestamp: null

labels:

run: Nginx

spec:

containers:

– image: Nginx

imagePullPolicy: Always

name: Nginx

resources: {}

terminationMessagePath: / dev / termination-log

terminationMessagePolicy: File

dnsPolicy: ClusterFirst

restartPolicy: Always

schedulerName: default-scheduler

securityContext: {}

terminationGracePeriodSeconds: 30

status:

availableReplicas: 1

conditions:

– lastTransitionTime: 2018-12-16T10: 23: 26Z

lastUpdateTime: 2018-12-16T10: 23: 26Z

message: Deployment has minimum availability.

reason: MinimumReplicasAvailable

status: "True"

type: Available

– lastTransitionTime: 2018-12-16T10: 23: 26Z

lastUpdateTime: 2018-12-16T10: 23: 28Z

message: ReplicaSet "Nginx-64f497f8fd" has successfully progressed.

reason: NewReplicaSetAvailable

status: "True"

type: Progressing

observedGeneration: 1

readyReplicas: 1

replicas: 1

updatedReplicas: 1

This will be superfluous for us, so I will delete the unnecessary, because when creating, we specified only the name and image, the rest was filled with default values:

apiVersion: extensions / v1beta1

kind: Deployment

metadata:

labels:

run: Nginx

name: Nginx

spec:

selector:

matchLabels:

run: Nginx

template:

metadata:

labels:

run: Nginx

spec:

containers:

– image: Nginx

name: Nginx

You can also create a template:

gcloud services enable compute.googleapis.com –project = $ {PROJECT}

gcloud beta compute instance-templates create-with-container $ {TEMPLATE} \

–-machine-type = custom-1-4096 \

–-image-family = cos-stable \

–-image-project = cos-cloud \

–-container-image = gcr.io / kuar-demo / kuard-amd64: 1 \

–-container-restart-policy = always \

–-preemptible \

–-region = $ {REGION} \

–-project = $ {PROJECT}

gcloud compute instance-groups managed create $ {TEMPLATE} \

–-base-instance-name = $ {TEMPLATE} \

–-template = $ {TEMPLATE} \

–-size = $ {CLONES} \

–-region = $ {REGION} \

–-project = $ {PROJECT}

High service availability

To ensure high availability, you need to redirect traffic to the spare in the event of an application crash. Also, it is often important that the load is evenly distributed, since the application in a single instance is not able to handle all the traffic. To do this, a cluster is created, for example, let's take a more complex image in order to parse a larger number of nuances:

esschtolts @ cloudshell: ~ / bitrix (essch) $ cat deploymnet.yaml

apiVersion: apps / v1

kind: Deployment

metadata:

name: Nginxlamp

spec:

selector:

matchLabels:

app: lamp

replicas: 1

template:

metadata:

labels:

app: lamp

spec:

containers:

– name: lamp

image: mattrayner / lamp: latest-1604-php5

ports:

– containerPort: 80

esschtolts @ cloudshell: ~ / bitrix (essch) $ cat loadbalancer.yaml

apiVersion: v1

kind: Service

metadata:

name: frontend

spec:

type: LoadBalancer

ports:

– name: front

port: 80

targetPort: 80

selector:

app: lamp

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods

NAME READY STATUS RESTARTS AGE

Nginxlamp-7fb6fdd47b-jttl8 2/2 Running 0 3m

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get svc

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT (S) AGE

frontend LoadBalancer 10.55.242.137 35.228.73.217 80: 32701 / TCP, 8080: 32568 / TCP 4m

kubernetes ClusterIP 10.55.240.1 none> 443 / TCP 48m

Now we can create identical copies of our clusters, for example, for Production and Develop, but balancing will not work as expected. The balancer will find PODs by label, and PODs in both production and Developer clusters correspond to this label. Also, placing clusters in different projects will not be an obstacle. Although, for many tasks, this is a big plus, but not in the case of a cluster for developers and production. The namespace is used to delimit the scope. We use them discreetly, when we list PODs without specifying a scope, we are displayed by default , but the PODs are not taken out of the system scope:

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get namespace

NAME STATUS AGE

default Active 5h

kube-public Active 5h

kube-system Active

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods –namespace = kube-system

NAME READY STATUS RESTARTS AGE

event-exporter-v0.2.3-85644fcdf-tdt7h 2/2 Running 0 5h

fluentd-gcp-scaler-697b966945-bkqrm 1/1 Running 0 5h

fluentd-gcp-v3.1.0-xgtw9 2/2 Running 0 5h

heapster-v1.6.0-beta.1-5649d6ddc6-p549d 3/3 Running 0 5h

kube-dns-548976df6c-8lvp6 4/4 Running 0 5h

kube-dns-548976df6c-mcctq 4/4 Running 0 5h

kube-dns-autoscaler-67c97c87fb-zzl9w 1/1 Running 0 5h

kube-proxy-gke-bitrix-default-pool-38fa77e9-0wdx 1/1 Running 0 5h

kube-proxy-gke-bitrix-default-pool-38fa77e9-wvrf 1/1 Running 0 5h

l7-default-backend-5bc54cfb57-6qk4l 1/1 Running 0 5h

metrics-server-v0.2.1-fd596d746-g452c 2/2 Running 0 5h

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods –namespace = default

NAMEREADY STATUS RESTARTS AGE

Nginxlamp-b5dcb7546-g8j5r 1/1 Running 0 4h

Let's create a scope:

esschtolts @ cloudshell: ~ / bitrix (essch) $ cat namespace.yaml

apiVersion: v1

kind: Namespace

metadata:

name: development

labels:

name: development

esschtolts @ cloudshell: ~ (essch) $ kubectl create -f namespace.yaml

namespace "development" created

esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get namespace –show-labels

NAME STATUS AGE LABELS

default Active 5h none>

development Active 16m name = development

kube-public Active 5h none>

kube-system Active 5h none>

The essence of working with scope is that for specific clusters we set the scope and we can execute commands specifying it, while they will apply only to them. At the same time, except for the keys in commands such as kubectl get pods I do not appear in the scope, therefore the configuration files of controllers (Deployment, DaemonSet and others) and services (LoadBalancer, NodePort and others) do not appear, allowing them to be seamlessly transferred between the scope, which especially relevant for the development pipeline: developer server, test server, and production server. Scopes are set in the cluster context file $ HOME / .kube / config using the kubectl config view command . So, in my cluster context entry, the scope entry does not appear (default is default ):

– context:

cluster: gke_essch_europe-north1-a_bitrix

user: gke_essch_europe-north1-a_bitrix

name: gke_essch_europe-north1-a_bitrix

You can see something like this: