![]() ![]() Once your slot has been created, you can configure it like a normal Web App, and eventually declare some settings as "Slot setting" to stick it to your new slot. You can choose to clone the configuration from an existing slot (including the production one), or to start with a fresh new configuration. To create a new deployment slot, just open your Web App from the Azure Portal and click on Deployment slots, and then Add Slot. Connection strings (can be configured to stick to a slot).App settings (can be configured to stick to a slot).General settings - such as framework version, 32/64-bit, Web sockets.Particulary, the app settings and connection strings are swapped by default, but can be configured to stick to a slot. Indeed, some configuration elements will follow the content across a swap while others will stay on the same slot. When dealing with deployment slots, you should also be aware of how configuration works. Swapping is not about copying the content of the website but, as the Blue-Green approach recommends it, it is more about swapping DNS pointers. You can easyly swap two slots, including the production one. They are actually live Web App instances with their own hostnames, but they are tied to the main Web App. You can then create more deployment slots. What are deployment slots?īy default, each Azure Web App has a single deployment slot called production which represents the Azure Web App itself. The great news is that you have a nice way to implement the Blue-Green deployments for Azure Web Apps: deployment slots (available in the Standard or Premium App Service plan mode). Once your deployment is finished, and your application is ready to serve requests, you can just switch the router so all incoming requests now go to Green instead of Blue.Ĭredits: BlueGreenDeployment by Martin Fowler.Īs well as reducing downtime, the Blue-Green deployment approach reduces risks: if your last release on Green produces unexpected behaviors, just roll back to the last version by switching back to Blue. You can deploy your new release in the environment that is not live, Green in our example. At any time one of them is live, serving all production traffic, while the other is just idle. OK, I think you got my point here, let's fix it! Blue-Green deploymentīlue-Green deployment is a release approach to reduce downtime by ensuring you have two identical production environments: Blue and Green. I mean, even if you are targeting an integration environment, only used by your kind frontend colleague, you don't want him to hit a brick wall, waiting for you to fix your API if something got wrong.Īnd if you are targeting a validation environment, would you like to have your QA open a non-reproductible issue due only to the deployment downtime?Īnd if you are deploying to your producti. But it isn't exactly the purpose of cloud computing, is it? If your last deployment introduces critical issues, you have no way to quickly rollback to the previous version.Īll of these are worth considering if you are alone in your team, and deploy your application to your own private test Web App.Your deployment may fail due to files being used by the server processes.This results in a cold start: the first request will be slower to process and multiple requests may stack up waiting for the Web App to be ready to process them. After the deployment, the Web App might need to restart.Your deployment package might be large, so the deployment process would be long enough to introduce significant downtime to your application.You can deploy your application straight to your Azure Web App, but here are the problems you might run into: The shortest way is still not the best way But you might run into some issues if you just follow the easy way. You have several options to do it (including Web Deploy, Git, FTP.) and several release management services (like Visual Studio Team Services) provide automated tasks for this. A successful Azure Web App deployment processĪzure, build system, automation, microsoft, webapp, vsts, devopsĭeploying your application automatically on an Azure Web App isn't really challenging. ![]()
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