truetool VS kubernetes

https://github.com/truecharts/truetool this is gone

cd /mnt/pool/scripts git clone https://github.com/truecharts/truetool.git cd truetool chmod +x truetool.sh # I also use this: alias turetool="/mnt/pool/scripts/truetool.sh "

apiVersion: extensions/v1beta1kind: Deploymentmetadata: name: kube-dns namespace: kube-system labels: k8s-app: kube-dns kubernetes.io/cluster-service: "true"spec: strategy: rollingUpdate: maxSurge: 10% maxUnavailable: 0 selector: matchLabels: k8s-app: kube-dns template: metadata: labels: k8s-app: kube-dns annotations: scheduler.alpha.kubernetes.io/critical-pod: '' scheduler.alpha.kubernetes.io/tolerations: '[{"key":"CriticalAddonsOnly", "operator":"Exists"}]' spec: containers: - name: kubedns image: gcr.io/google\_containers/kubedns-amd64:1.9 resources: limits: memory: 170Mi requests: cpu: 100m memory: 70Mi livenessProbe: httpGet: path: /healthz-kubedns port: 8080 scheme: HTTP initialDelaySeconds: 60 timeoutSeconds: 5 successThreshold: 1 failureThreshold: 5 readinessProbe: httpGet: path: /readiness port: 8081 scheme: HTTP initialDelaySeconds: 3 timeoutSeconds: 5 args: - --domain=cluster.local. - --dns-port=10053 - --config-map=kube-dns # This should be set to v=2 only after the new image (cut from 1.5) has # been released, otherwise we will flood the logs. - --v=2 env: - name: PROMETHEUS\_PORT value: "10055" ports: - containerPort: 10053 name: dns-local protocol: UDP - containerPort: 10053 name: dns-tcp-local protocol: TCP - containerPort: 10055 name: metrics protocol: TCP - name: dnsmasq image: gcr.io/google\_containers/kube-dnsmasq-amd64:1.4.1 livenessProbe: httpGet: path: /healthz-dnsmasq port: 8080 scheme: HTTP initialDelaySeconds: 60 timeoutSeconds: 5 successThreshold: 1 failureThreshold: 5 args: - --cache-size=1000 - --no-resolv - --server=127.0.0.1#10053 - --log-facility=- ports: - containerPort: 53 name: dns protocol: UDP - containerPort: 53 name: dns-tcp protocol: TCP # see: https://github.com/kubernetes/kubernetes/issues/29055 for details resources: requests: cpu: 150m memory: 10Mi - name: dnsmasq-metrics image: gcr.io/google\_containers/dnsmasq-metrics-amd64:1.0.1 livenessProbe: httpGet: path: /metrics port: 10054 scheme: HTTP initialDelaySeconds: 60 timeoutSeconds: 5 successThreshold: 1 failureThreshold: 5 args: - --v=2 - --logtostderr ports: - containerPort: 10054 name: metrics protocol: TCP resources: requests: memory: 10Mi - name: healthz image: gcr.io/google\_containers/exechealthz-amd64:v1.2.0 resources: limits: memory: 50Mi requests: cpu: 10m memory: 50Mi args: - --cmd=nslookup kubernetes.default.svc.cluster.local 127.0.0.1 >/dev/null - --url=/healthz-dnsmasq - --cmd=nslookup kubernetes.default.svc.cluster.local 127.0.0.1:10053 >/dev/null - --url=/healthz-kubedns - --port=8080 - --quiet ports: - containerPort: 8080 protocol: TCP dnsPolicy: Default and this is my kube-dns-svc.yaml:

On the bright side, it looks like this might happen eventually if Kubernetes support is ever implemented in act_runner. See act_runner issue #19 and act_runner issue #31.

I heard here it may be https://github.com/kubernetes/kubernetes/blob/master/cluster/kube-push.sh. If that is the case how does kube-push.sh relate to https://github.com/GoogleCloudPlatform/kubernetes/blob/master/cluster/gce/upgrade.sh?

Use a container orchestration platform: Use a container orchestration platform such as Kubernetes to manage your infrastructure. Kubernetes provides a range of security features that can be used to secure your applications, infrastructure and manage the traffic to your containerized environment securely using Ingress Controller.

You absolutely can write very high performance software in Go, that's kind of the point. You can efficiently interface with C libraries. You can create the sort of software everyone says should be done in Rust, like databases and web servers and system orchestration and games and every other goddamn thing that people will say isn't the right choice for Go.

If you're comfortable with Kubernetes, you can also deploy Hasura to a Kubernetes cluster. Hasura provides official Helm charts and Kubernetes manifests for deploying your application to Kubernetes.

Of course if you want to learn it and what you can do with it then you need to do the work and start with the documentation at https://kubernetes.io and probably read a book or two. There are also lots of Youtube videos, I seem to remember TechWorld with Nana being pretty good.

Kubernetes is an open-source platform that is used for the automation and management of containerized software applications. It allows developers to deploy applications on multiple servers without worrying about the underlying infrastructure. It is owned by Google and was created in 2014 with the aim of managing cloud applications. It is currently maintained by the Cloud Native Computing Foundation (CNCF). Cloud platforms are various providers with both the hardware and operating system of web-based data centers. These cloud platforms are of different types and range from private servers to public cloud platforms, which are third-party providers. Examples of public cloud platforms are AWS, GCP, Microsoft Azure, and Digital Ocean.

Check out the kubernetes docs at https://kubernetes.io

Kubernetes is an open-source container orchestration platform that helps to manage and deploy applications in a cloud environment. It is used to automate the deployment, scaling, and management of containerized applications. It is an efficient way to manage application health with Kubernetes probes. This blog will discuss Kubernetes probes, the different types available, and how to implement them in your Kubernetes environment.