Vagrant VS kubernetes

You can give Vagrant a go (https://www.vagrantup.com). It is pretty handy for spinning up/down development VMs without even leaving your IDE.

Vagrant is a popular tool for launching virtual machines on your local desktop. https://www.vagrantup.com/

And, for the record, if you ever need to do something cross falls down on and Docker isn't suited to (eg. some of my sites are on a shared webhost that uses FreeBSD), the simplest way I've found is to use Vagrant with a script like this to run inside Vagrant to copy the project in, trigger a build, and then copy the binary out.

Have a look at vagrant to spin up VMs quickly, then use 'em to do stuff like configure a salt environment - you could incorporate cron jobs here ;)

I was building a new version of YugabyteDB vagrant box with packer and virtual box. Because we (Yugabyte) have a new preview release out.

I also suggest having a look at Vagrant (https://www.vagrantup.com/) for learning kind of work. It makes running isolated env easy and clean.

Another point to consider is how difficult is it to install the API Gateway or redeploy the gateway when changes are made. Check what installation options are offered. Most modern API Gateways can be installed in many different ways(Package based, Docker, Helm, RPM) in any environment (Linux, Windows, macOS). For example, one of the biggest advantages of Kong is its wide range of installation choices, with pre-made containers such as Docker and Vagrant so you can get a deployment running quickly.

Laravel wanted to make the entire PHP development process as seamless as possible. At the time, Laravel achieved this with Laravel Homestead, apre-packaged Vagrant box. Everything you would need would be bundled into a virtual machine, nice and neat, away from your OS. And this was how I was introduced to Vagrant. A means of packaging virtual machines into a portable format, so you could easily create local development environments. Vagrant worked by using a Vagrantfile to describe the virtual machine you would want to use, how it would be provisioned, the ports you would forward, and the filepaths you would want shared from host to guest. All of these tasks would be handled by the provider, the underlying virtual machine program itself, in my case, VirtualBox. Perhaps the one thing I liked the most about Vagrant, was the ability to provision my machine, clear down if I wanted to and have it back in a clean state for development.

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.