Windows Azure: Staging Publishing Support for Web Sites, Monitoring Improvements, Hyper-V Recovery Manager GA, and PCI Compliance. Thursday, January 16, 2014. Could we have the same non-changing naming conventions for staging slots in Cloud services? Really like the way this is done in Web Sites! John Korsnes - Thursday. We're using Azure Cloud Services and would like to have a workflow where deployments flow as Cloud Service #1: testing/QA = staging = production Currently Azure Cloud Services only have. Azure CloudServices: Having more than just staging and production slots? Ask Question. We don't use the slot feature for staging. Share improve this.
-->Choosing Azure App Services to host a web application means that you are using a managed platform and therefore have less responsibilities (such as OS updates and patching). Another specific feature that can be extremely useful is slots. Slots allow you to deploy your application to a separate live app service, warm it up and make sure it’s ready for use in production, and then swap the slots to provide seamless traffic redirection.
You can slot swap manually (in the portal or command line) or you can automate the slot swap with Auto-swap or in a script.
I’ve been asked a few times recently about how to do this as part of a VSTS release pipeline and so I thought I’d outline my approach here.
Scenario
Let’s keep it pretty simple and say that the release pipeline for a web application is going to cover deploying to a Dev environment, then QA, then Staging and finally Production. Human approvals will be needed at points, but especially in approving the final release into Production. We will use slots so that the staging environment can be warmed-up, reviewed and then final approval triggers the slot swap.
VSTS Release Pipeline
Azure Web App Slot Setting
We’ll create a release pipeline that has Dev, QA and Production:
Why no Staging? The Production environment will have both a staging and production slot and we’ll manage the transition between the two in that environment.
Why are Dev and QA separated? To reflect the app service separation. You could have Dev and QA as additional slots in production (you can have up to 15) but it makes sense to keep the production and non-production environments apart. This allows you to choose different hosting plans (size/scaling/cost) and also isolates impact, such as load testing in the QA environment.
Could you have Dev and Test as separate slots in a single “non-production” environment? Yes, you could. I’ve chosen to split them so they have potentially different lifecycles but that’s more subjective.
Configuring slot swaps in Production
The Dev and QA environments orchestrate whatever flow you want in those environments (e.g. provision using ARM, deploy, run functional tests, run load tests etc.), and in this example don’t have any slot specific activity. Therefore let’s take a look at the production environment tasks:
(I’ve kept this to a minimum to keep it clearer, so no provisioning, running scripts or other activities.)
First deploy the web application to the staging slot in the production environment using the Azure App Service Deploy task:
Myncedcloud Rapid Identity
Check the Deploy to slot option in the standard task, and then choose the Slot (I called the slot “staging” but you can use any name).
Next I’ve added an Agentless phase as it’s not going to delegate any actions to an agent, and added a Manual Intervention task. No deposit bonus codes 2018 slotocash. This causes the flow to pause until the manual intervention is completed by the specified approvers (groups and/or individuals). If it’s approved then it carries on, if it’s rejected (or times out and therefore is rejected) then the flow stops. In this case that works for me as I want the staging environment to be manually verified and then signed off as ok for final release to production. If it gets rejected then it never gets promoted from staging to production.
Finally, if the staging slot has been manually verified and is ready to be used, then we can initiate the actual slot swap (in an agent phase) using the Azure App Service Manage task:
https://golmaine.netlify.app/antique-slot-machine-price-guide.html. The staging and production slots will then be swapped over, leaving the old production version in the staging app and the latest version in the production slot.
This flow supports the actual slot swaps being automated, but with manual approval. A nice side effect of the slot swap is that should there be a problem, the slot swap can be reversed to redeploy (rollback) the old version of the app now in the staging slot.
-->This article includes frequently asked questions about deployment issues for Microsoft Azure Cloud Services. You can also consult the Cloud Services VM Size page for size information.
If your Azure issue is not addressed in this article, visit the Azure forums on MSDN and Stack Overflow. You can post your issue in these forums, or post to @AzureSupport on Twitter. You also can submit an Azure support request. To submit a support request, on the Azure support page, select Get support.
Why does deploying a cloud service to the staging slot sometimes fail with a resource allocation error if there is already an existing deployment in the production slot?
If a cloud service has a deployment in either slot, the entire cloud service is pinned to a specific cluster. This means that if a deployment already exists in the production slot, a new staging deployment can only be allocated in the same cluster as the production slot.
Allocation failures occur when the cluster where your cloud service is located does not have enough physical compute resources to satisfy your deployment request.
For help with mitigating such allocation failures, see Cloud Service allocation failure: Solutions.
Why does scaling up or scaling out a cloud service deployment sometimes result in allocation failure?
When a cloud service is deployed, it usually gets pinned to a specific cluster. Kings mountain nc casino update. This means scaling up/out an existing cloud service must allocate new instances in the same cluster. If the cluster is nearing capacity or the desired VM size/type is not available, the request may fail.
For help with mitigating such allocation failures, see Cloud Service allocation failure: Solutions.
Why does deploying a cloud service into an affinity group sometimes result in allocation failure?
A new deployment to an empty cloud service can be allocated by the fabric in any cluster in that region, unless the cloud service is pinned to an affinity group. Deployments to the same affinity group will be attempted on the same cluster. If the cluster is nearing capacity, the request may fail.
For help with mitigating such allocation failures, see Cloud Service allocation failure: Solutions.
Why does changing VM size or adding a new VM to an existing cloud service sometimes result in allocation failure?
The clusters in a datacenter may have different configurations of machine types (for example, A series, Av2 series, D series, Dv2 series, G series, H series, etc.). But not all the clusters would necessarily have all the kinds of VMs. For example, if you try to add a D series VM to a cloud service that is already deployed in an A series-only cluster, you will experience an allocation failure. This will also happen if you try to change VM SKU sizes (for example, switching from an A series to a D series).
For help with mitigating such allocation failures, see Cloud Service allocation failure: Solutions.
To check the sizes available in your region, see Microsoft Azure: Products available by region.
Why does deploying a cloud service sometime fail due to limits/quotas/constraints on my subscription or service?
Deployment of a cloud service may fail if the resources that are required to be allocated exceed the default or maximum quota allowed for your service at the region/datacenter level. For more information, see Cloud Services limits.
Azure Cloud Service Staging Slot Stopped Vm
You could also track the current usage/quota for your subscription at the portal: Azure portal => Subscriptions => <appropriate subscription> => “Usage + quota”.
Resource usage/consumption-related information can also be retrieved via the Azure Billing APIs. See Azure Resource Usage API (Preview).
How can I change the size of a deployed cloud service VM without redeploying it?
You cannot change the VM size of a deployed cloud service without redeploying it. The VM size is built into the CSDEF, which can only be updated with a redeploy.
For more information, see How to update a cloud service.
Why am I not able to deploy Cloud Services through Service Management APIs or PowerShell when using Azure Resource Manager Storage account?
Since the Cloud Service is a Classic resource that is not directly compatible with the Azure Resource Manager model, you can't associate it with the Azure Resource Manager Storage accounts. Here are few options:
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Deploying through REST API.
When you deploy through Service Management REST API, you could get around the limitation by specifying a SAS URL to the blob storage, which will work with both Classic and Azure Resource Manager Storage account. Read more about the 'PackageUrl' property here.
Deploying through Azure portal.
This will work from the Azure portal as the call goes through a proxy/shim that allows communication between Azure Resource Manager and Classic resources.
Why does Azure portal require me to provide a storage account for deployment?
In the classic portal, the package was uploaded to the management API layer directly, and then the API layer would temporarily put the package into an internal storage account. This process causes performance and scalability problems because the API layer was not designed to be a file upload service. In the Azure portal (Resource Manager deployment model), we have bypassed the interim step of first uploading to the API layer, resulting in faster and more reliable deployments.
As for the cost, it is very small and you can reuse the same storage account across all deployments. You can use the storage cost calculator to determine the cost to upload the service package (CSPKG), download the CSPKG, then delete the CSPKG.