Let’s go language-by-language and review the app, generate the container image, deploy to Cloud Run, and measure the container startup latency. But this should give us a decent sense of how each language performs. It’s entirely possible, frankly likely, that you could tune these apps much more than I did. For this example, I chose to use C#, Go, Java (Spring Boot), and JavaScript (Node.js). Since Cloud Run accepts most any container, you have almost limitless choices in programming language. Based on these two things, I got curious and decided to build the same REST API in four different programming languages to see how big the generated container image was, and how fast the containers started up in Cloud Run. That seems like a helpful tool to figure out what needs to be optimized. ![]() Regarding the cold start topic, we just shipped a new cloud metric, “container startup latency” to measure the time it takes for a serverless instance to fire up. Using our continuous integration service or any number of compute services directly, you never have to write a Dockerfile again, unless you want to. Google Cloud has embraced Cloud Buildpacks as a way to generate a container image from source code. Sounds good, but what if you don’t want to mess with containers as you build and deploy software? Or are concerned about the “cold start” penalty of a denser workload? ![]() Could be a little Go app, full-blown Spring Boot REST API, or a Redis database. These products-the terrific Google Cloud Run is the most complete example and has a generous free tier-let you deploy more full-fledged “apps” versus the glue code that works best in FaaS. There are constraints around what you can do with FaaS, which is why I also like this new crop of container-based serverless compute services. If everything looks good, select the Continue button below to go to the next step.Do you like using function-as-a-service (FaaS) platforms to quickly build scalable systems? Me too. A port number is automatically assigned at project creation and saved on this file. The launchSettings.json file inside the Properties directory defines different profile settings for the local development environment.BlazorApp.csproj defines the app project and its dependencies and can be viewed by double-clicking the BlazorApp project node in the Solution Explorer.The Components/Pages directory contains some example web pages for the app.Routes.razor configures the Blazor router.App.razor is the root component for the app.Program.cs is the entry point for the app that starts the server and where you configure the app services and middleware.Several files were created to give you a simple Blazor app that is ready to run. Take a look at the contents of your project using Solution Explorer. Your project is created and loaded in Visual Studio. Interactivity location: Per page/component.For this app, make sure the defaults are selected as follows: When creating a Blazor Web App you can select from various options, like whether to enable authentication, what interactive render modes to enable, and how much of the app you want to be interactive. NET 8.0 (Long Term Support) in the Framework drop-down if not already selected and click the Create button. In the Additional information window, select. In the Configure your new project window, enter BlazorApp as the project name and select Next. ![]() Select the Blazor Web App template and select Next.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |