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I've seen some resources and other videos about deploying from Azure DevOps Services to on premises servers/VM instances.
What about doing the opposit? By the opposit, I mean having a on premises AzureDevops Server 2019 and willing to deploy to let's say an AWS hosted VM ?
Is there any convenient way to make an agent on the AWS side communicate with my Azure Devops server behind my company's firewal etc... As I understood there is no way to do that as the agents are clients registering for build/release jobs/tasks to run...
Did I get it right?
Is there a hint to do that?
I will give a try to the AWS Toolkit for Azure DevOps available on the market place that should do the job.
Thanks to #Hugh Lin - MSFT !
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I want to explore options for development pocess (web api + worker services) having on mind deployment to Azure Container Apps.
In particular, I am wondering, is there any reason for running containers on developers machine or should apps be ran and unit tested locally without containers and then use containers only from ci/cd pipeline?
In that case, integration tests should also be performed in ci/cd pipeline only.
Whats also important is that different devs in a team can have different machines (windows, macos, linux) and we want to have unified dev process for all.
What is a typical development flow?
This is mostly opinion based and how well debugging works for your specific stack. For example, I work with blazor web assembly and most of the time I debug in containers, because my application is hosted in podman, however if I am investigating an client side issue containers are not convenient because debugging does not working properly.
With containers you are is close as shipping your dev machine to the cloud as possible.
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I'm trying to ask Google to develop a new extension for VSCode (Cloud Tools for VSCode) to deploy apps to Google Cloud Platform, but I don't know WHERE to do it. It's like a feature request, such as Cloud Tools For Eclipse, or Cloud Tools for Visual Studio, or Cloud Tools for Intellij. If anyone knows, please help. Thank you.
Note: Currently there is a VSCode extension called Cloud Code but is not the same as Cloud Tools for VSCode, that's why I'm trying to ask for it.
Google Cloud has a website for posting bugs and creating feature requests.
Report Issues and Request Features with Issue Trackers
Scroll down to "Create Tools for Visual Studio issue".
Before creating a feature request, review the existing requests.
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I understand from official Docs Anthos is built on Kubernetes/Istio/Knative but where does Anthos fits in Google cloud platform.
Can it act as configuration manager for application auto-deployment, provisioning etc ?
Does it provide support for language specific build on the fly?
With Anthos you can basically manage multiple Kubernetes clusters from multiple Clouds (Amazon, Google, Azure) and on-prem. It can help you maintain a hybrid environment and move in a predictable way or partially your infrastructure from on-prem to cloud.
You can use Anthos Config Management to create a common configuration for your clusters. You can use ClusterSelectors to apply configurations to subsets of clusters.
Configuration can include Istio service mesh, pod security policies, or quota policies.
From a security perspective, you can manage your policies using Anthos Policy Controller, enforcing PodSecurityPolicies, with the advantage of testing constraints before enforcing them.
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I've searched the internet but I haven't found clear answers.
Kops is for production grade clusters and is vendor agnostic and I get that, but compared to Eksctl what are the differences ?
Also most of the articles are found are year+ old and with the speed the K8s ecosystem moves it might be outdated.
eksctl is specifically meant to bootstrap clusters using Amazon's managed Kubernetes service (EKS). With EKS, Amazon will take responsibility for managing your Kubernetes Master Nodes (at an additional cost).
kops is a Kubernetes Installer. It will install kubernetes on any type of node (e.g. an amazon ec2 instance, local virtual machine). But you will be responsible for maintaining the master nodes (and the complexity that comes with that).
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Have been well versed with ARM Templates & Parameters using Powershell. I have come to know lately that Desired State Configuration is the recommended way by Microsoft for Windows Server configurations.
As some of many of the parameters can also be configured using ARM Template, why is there a need of yet another approach DSC?
What I have researched and found out: But I would seek your expert & authoritative answer on following:
Is DSC suitable for windows Internals only & to ensure that the
configuration is maintained by constant polling?
DSC is not be helpful for provisioning machines & Azure resources, like Azure ARM does.
ARM Templates deploy Azure resources (like networking, storage, sql, vms, redis, webapp, etc). And can configure those to some extent.
Whereas Powershell DSC is only good for configuring VM's (not creating them).
That being said, technically there was a DSC module for Azure, but generally speaking they (DSC and ARM Templates) operate on different levels, but the idea is the same.