kube-ansible | Spin up a Kubernetes development environment | Infrastructure Automation library
kandi X-RAY | kube-ansible Summary
kandi X-RAY | kube-ansible Summary
kube-ansible provides the means to install and setup KVM as a virtual host platform on which virtual machines can be created, and used as the foundation of a Kubernetes cluster installation.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of kube-ansible
kube-ansible Key Features
kube-ansible Examples and Code Snippets
Community Discussions
Trending Discussions on Infrastructure Automation
QUESTION
I have an RDS DB instance (Aurora PostgreSQL) setup in my AWS account. This was created manually using AWS Console. I now want to create CloudFormation template Yaml for that DB, which I can use to create the DB later if needed. That will also help me replicate the DB in another environment. I would also use that as part of my Infrastructure automation.
...ANSWER
Answered 2020-Jun-05 at 00:59Unfortunately, there is no such functionality provided by AWS.
However, you mean hear about two options that people could wrongfully recommend.
CloudFormer is a template creation beta tool that creates an AWS CloudFormation template from existing AWS resources in your account. You select any supported AWS resources that are running in your account, and CloudFormer creates a template in an Amazon S3 bucket.
Although it sounds good, the tool is no longer maintained and its not reliable (for years in beta).
Importing Existing Resources Into a Stack
Often people mistakenly think that this "generates yaml" for you from existing resources. The truth is that it does not generate template files for you. You have to write your own template which matches your resource exactly, before you can import any resource under control to CloudFormation stack.
Your only options is to manually write the template for the RDS and import it, or look for an external tools that could reverse-engineer yaml templates from existing resources.
QUESTION
I'm struggling to set up a CI process for a web application in Azure. I'm used to deploying built code directly into Web Apps in Azure but decided to use docker this time.
In the build pipeline, I build the docker images and push them to an Azure Container Registry, tagged with the latest build number. In the release pipeline (which has DEV, TEST and PROD), I need to deploy those images to the Web Apps of each environment. There are 2 relevant tasks available in Azure releases: "Azure App Service deploy" and "Azure Web App for Containers". Neither of these allow the image source for the Web App to be set to Azure Conntainer Registry. Instead they take custom registry/repository names and set the image source in the Web App to Private Registry, which then requires login and password. I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App) are integrated already. Ideally, I would be able to set the Web App to use the repository and tag in Azure Container Registry that I specify in the release. I even tried to manually configure the Web Apps first with specific repositories and tags, and then tried to change the tags used by the Web Apps with the release (with the tasks I mentioned) but it didn't work. The tags stay the same.
Another option I considered was to configure all Web Apps to specific and permanent repositories and tags (e.g. "dev-latest") from the start (which doesn't fit well with ARM deployments since the containers need to exist in the Registry before the Web Apps can be configured so my infrastructure automation is incomplete), enable "Continuous Deployment" in the Web Apps and then tag the latest pushed repositories accordingly in the release so they would be picked up by Web Apps. I could not find a reasoble way to add tags to existing repositories in the Registry.
What is Azure best practice for CI with containerised web apps? How do people actually build their containers and then deploy them to each environment?
...ANSWER
Answered 2020-Mar-16 at 08:59Just set up a CI pipeline for building an image and pushing it to a container registry.
You could then use both Azure App Service deploy and Azure Web App for Containers task to handle the deploy.
The Azure WebApp Container task similar to other built-in Azure tasks, requires an Azure service connection as an input. The Azure service connection stores the credentials to connect from Azure Pipelines or Azure DevOps Server to Azure.
I'm also deploying all Azure resources using ARM templates so I don't like the idea of configuring credentials when the 2 resources (the Registry and the Web App)
You could also be able to Deploy Azure Web App for Containers with ARM and Azure DevOps.
How do people actually build their containers and then deploy them to each environment?
Kindly take a look at below blogs and official doc which may be helpful:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install kube-ansible
During the execution of Step 3 a local inventory file inventory/vms.local.generated should have been generated. This inventory file contains the virtual machines and their IP addresses. Alternatively you can ignore the generated inventory and copy the example inventory directory from inventory/examples/vms/ and modify to your hearts content. This inventory file need to be passed to the Kubernetes Installation playbooks (kube-install.yml \ kube-install-ovn.yml). NOTE If you're not running the Ansible playbooks from the virtual host itself, it's possible to connect to the virtual machines via SSH proxy. You can do this by setting up the ssh_proxy_... variables as noted in Step 3.
network_type (optional, string): specify network topology for the virthost, each master/worker has one interface (eth0) in default: 2nics: each master/worker node has two interfaces: eth0 and eth1 bridge: add linux bridge (cni0) and move eth0 under cni0. This is useful to use linux bridge CNI for Kubernetes Pod's network
container_runtime (optional, string): specify container runtime that Kubernetess uses. Default uses Docker. crio: install cri-o for the container runtime
crio_use_copr (optional, boolean): (only in case of cri-o) set true if copr cri-o RPM is used
ovn_image_repo (optional, string): set the container image (e.g. docker.io/ovnkube/ovn-daemonset-u:latest)
enable_endpointslice (optional, boolean): set True if endpointslice is used instead of endpoints
enable_auditlog (optional, boolean): set True if auditing logs
enable_ovn_raft (optional, boolean): (kube-install-ovn.yml only) set True if you want to OVN with raft mode
ovn_image_repo (optional, string): Replace the url if image needs to be pull from other location.
Install Kubernetes with cri-o runtime, each host has two NICs (eth0, eth1):
Following instructions are to create a HA Kubernetes cluster with two worker nodes and OVN-Kubernetes in Raft mode as a CNI. All these instructions are executed from the physical server where virtual virtual_machines will be created to deploy the Kubernetes cluster. Configure inventory Content of inventory/virthost/virthost.inventory. Configure default values Overridden configuration values in all.yml. This playbook creates required VMs and generate the final inventory file (vms.local.generated). virsh list lists all the created VMs. Verify Setup Login to Kubernets master node. Verify that all the nodes join the cluster.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page