IT Cloud
Шрифт:
esschtolts @ cloudshell: ~ / bitrix (essch) $ cat health_check.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
test: healtcheck
name: healtcheck
spec:
containers:
– name: healtcheck
image: alpine: 3.5
args:
– / bin / sh
– -c
– sleep 12; touch / tmp / healthy; sleep 10; rm -rf / tmp / healthy; sleep 60
readinessProbe:
exec:
command:
– cat
– / tmp / healthy
initialDelaySeconds: 5
periodSeconds: 5
livenessProbe:
exec:
command:
– cat
– / tmp / healthy
initialDelaySeconds: 15
periodSeconds: 5
The container starts after 3 seconds and after 5 seconds a readiness check starts every 5 seconds. On the second check (at 15 seconds of life), the readiness check cat / tmp / healthy will be successful. At this time, the livenessProbe operability check begins and at the second check (at 25 seconds) it ends with an error, after which the container is recognized as not working and is recreated.
esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl create -f health_check.yaml && sleep 4 && kubectl get
pods && sleep 10 && kubectl get pods && sleep 10 && kubectl get pods
pod "liveness-exec" created
NAME READY STATUS RESTARTS AGE
liveness-exec 0/1 Running 0 5s
NAME READY STATUS RESTARTS AGE
liveness-exec 0/1 Running 0 15s
NAME READY STATUS RESTARTS AGE
liveness-exec 1/1 Running 0 26s
esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods
NAME READY STATUS RESTARTS AGE
liveness-exec 0/1 Running 0 53s
esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods
NAME READY STATUS RESTARTS AGE
liveness-exec 0/1 Running 0 1m
esschtolts @ cloudshell: ~ / bitrix (essch) $ kubectl get pods
NAME READY STATUS RESTARTS AGE
liveness-exec 1/1 Running 1 1m
Kubernetes also provides a startup, which remakes the moment when you can turn the readiness and liveness of the sample into work. This is useful if, for example, we are downloading an application. Let's consider in more detail. Let's take www.katacoda.com/courses/Kubernetes/playground and Python for the experiment. There are TCP, EXEC and HTTP, but HTTP is better, as EXEC spawns processes and can leave them as "zombie processes". In addition, if the server provides interaction via HTTP, then it is against it that you need to check :
controlplane $ kubectl version –short
Client Version: v1.18.0
Server Version: v1.18.0
cat << EOF> job.yaml
apiVersion: v1
kind: Pod
metadata:
name: healt
spec:
containers:
– name: python
image: python
command: ['sh', '-c', 'sleep 60 && (echo "work"> health) && sleep 60 && python -m http.server 9000']
readinessProbe:
httpGet:
path: / health
port: 9000
initialDelaySeconds: 3
periodSeconds: 3
livenessProbe:
httpGet:
path: / health
port: 9000
initialDelaySeconds: 3
periodSeconds: 3
startupProbe:
exec:
command:
– cat
– / health
initialDelaySeconds: 3
periodSeconds: 3
restartPolicy: OnFailure
EOF
controlplane $ kubectl create -f job.yaml
pod / healt
controlplane $ kubectl get pods # not loaded yet
NAME READY STATUS RESTARTS AGE
healt 0/1 Running 0 11s
controlplane $ sleep 30 && kubectl get pods # not loaded yet but image is already zipped
NAME READY STATUS RESTARTS AGE
healt 0/1 Running 0 51s
controlplane $ sleep 60 && kubectl get pods
NAME READY STATUS RESTARTS AGE
healt 0/1 Running 1 116s
controlplane $ kubectl delete -f job.yaml
pod "healt" deleted
Self-diagnosis of micro service application
Let's consider how the probe works on the example of the microservice application bookinfo, which is part of Istio as an example:The demo will be at www.katacoda.com/courses/istio/deploy-istio-on-kubernetes. After deployment, it will be available
Infrastructure management
Although Kubernetes also has its own graphical interface – a UI dashboard, it does not provide other than monitoring and simple actions. More possibilities are given by OpenShift, providing a combination of graphic and text creation. A full-fledged product with a formed Google ecosystem in Kubernetes does not provide, but provides a cloud solution – Google Cloud Platform. However, there are third-party solutions, such as Open Shift and Rancher, that allow you to use it fully through a graphical interface at its own facilities. If desired, of course, you can sync with the cloud.
Each product is often not API compatible with each other, the only known exception being Mail. Cloud, which claims support for Open Shift. But, there is a third-party solution that implements the infrastructure as code approach and supports the API of most well-known ecosystems – Terraform. He, like Kubernetes, applies the concept of infrastructure as code, but not to containerization, but to virtual machines (servers, networks, disks). The Infrastructure as Code principle implies a declarative configuration – that is, a description of the result without explicitly specifying the actions themselves. Upon activation, the configuration (in Kubernetes it is kubectl apply -f name_config .yml , and in Hashicorp Terraform it is terraform apply ) of the system is brought into line with the configuration files, when the configuration or infrastructure changes, the infrastructure in the conflicting parts is brought into line with its declaration, when the system itself decides how to achieve this, and the behavior can be different, for example, when the meta information in the POD changes, it will be changed, and when the image changes, the POD will be deleted and created as a new one. If, before that, we created the server infrastructure for containers in an imperative form using the gcloud command of the Google Cloud Platform (GCP) public cloud, now we will consider how to create a similar configuration using the configuration in the declarative description of the pattern infrastructure as code using the universal Terraform tool that supports cloud GCP.
Terraform did not appear out of nowhere, but became a continuation of the long history of the emergence of software products for configuring and managing server infrastructure, I will list in the order of appearance and transition:
** CFN;
** Pupet;
** Chef;
** Ansible;
** Cloud AWS API, Kubernetes API;
* IasC: Terraform does not depend on the type of infrastructure (it supports more than 120 providers, including not only clouds), in contrast to the bucket counterparts that support only themselves: CloudFormation for Amazon WEB Service, Azure Resource Manager for Microsoft Azure, Google Cloud Deployment Manager from Google Cloud Engine.