Building and deploying serverless applications on GCP
Are you tired of managing servers and scaling infrastructure to meet your application’s demands? Do you want to focus on writing code and delivering applications quickly? Then serverless is the way to go! And with Google Cloud Platform (GCP), you can build and deploy serverless applications with ease.
In this article, we’ll explore the basics of serverless computing, why GCP is a great choice for your serverless applications, and how to build and deploy your first serverless application on GCP.
What is serverless computing?
Serverless computing, also known as Function-as-a-Service (FaaS), is a cloud computing model where you don’t have to manage servers or infrastructure. You only pay for the compute time consumed by your application, rather than worrying about the idle time of servers.
In the serverless model, you write code in functions that are triggered by events. The functions are scaled automatically and quickly to handle the event, and you only pay for the compute time that was utilized.
Serverless computing has many advantages over traditional server-based computing, including:
- Reduction in operational costs: You only pay for what you use, and you don’t have to worry about idle servers.
- Faster development: You can focus on writing code and delivering applications, rather than managing servers.
- Scalability: Your serverless applications can scale automatically to meet the high-demand spikes without any worries about infrastructure.
Why choose GCP for serverless computing?
GCP is a great choice for building and deploying serverless applications due to the following reasons:
- Rich ecosystem: GCP offers a rich ecosystem of serverless services, including Cloud Functions, Cloud Run, and App Engine. Each service has its own use case, and you can choose the one that fits your needs.
- Integration with other GCP services: GCP offers seamless integration with other GCP services, like Cloud Storage, Cloud Pub/Sub, and Cloud SQL. You can quickly and easily create complex applications using these services.
- Faster performance: GCP’s serverless offerings are designed for high concurrency and low latency, making them ideal for building fast, responsive applications.
Getting started with serverless on GCP
To build and deploy serverless applications on GCP, you need to have a GCP account. If you don’t have one, you can sign up for a free trial here: https://cloud.google.com/free/
Once you have a GCP account, you need to set up a GCP project, if you don’t already have one. To create a new project, you can follow the steps outlined in the GCP official documentation: https://cloud.google.com/resource-manager/docs/creating-managing-projects
Cloud Functions
Cloud Functions is a serverless compute platform provided by GCP. It allows you to run your code in response to events, such as HTTP requests or changes in your Google Cloud Storage buckets.
To create your first Cloud Function, follow these steps:
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Open the GCP console: https://console.cloud.google.com/
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Select your GCP project.
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Click on the hamburger menu icon (☰) and select “Cloud Functions” from the “Compute” section.
- Click on the blue “Create Function” button to create a new function.
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Give your function a name, choose your runtime (such as Node.js, Python, or Go), and specify the entry point for your function.
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Under “Trigger”, select the type of event that will trigger your function, such as HTTP request, Cloud Storage bucket change, or Pub/Sub event.
- Write your function code and click on the “Create” button to create your function.
And that’s it! You have created your first Cloud Function. You can now test your function by invoking it using the trigger you selected in the previous step.
Cloud Run
Cloud Run is a fully managed serverless platform provided by GCP. It allows you to run your containers natively as serverless functions. You can deploy any Docker container to Cloud Run, and it will automatically scale the containers and handle the load balancing for you.
To create your first Cloud Run service, follow these steps:
-
Open the GCP console: https://console.cloud.google.com/
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Select your GCP project.
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Click on the hamburger menu icon (☰) and select “Cloud Run” from the “Compute” section.
- Click on the “Create Service” button to create a new service.
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Give your service a name, select the Docker image you want to deploy, and choose your region and platform.
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Click on the “Create” button to create your Cloud Run service.
And that’s it! You have created your first Cloud Run service. You can now test your service by sending HTTP requests to the URL provided in the service details.
App Engine
App Engine is a fully managed platform provided by GCP that allows you to build web applications and APIs in serverless environments. You can deploy your application code in a wide range of programming languages, such as Java, Python, Node.js, Ruby, and more.
To create your first App Engine application, follow these steps:
-
Open the GCP console: https://console.cloud.google.com/
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Select your GCP project.
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Click on the hamburger menu icon (☰) and select “App Engine” from the “Compute” section.
- Click on the “Create Application” button to create a new application.
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Give your application a name, select your preferred environment (standard or flexible), and choose your region.
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Click on the “Create” button to create your App Engine application.
And that’s it! You have created your first App Engine application. You can now deploy your application code using the App Engine SDKs or the Google Cloud SDKs.
Conclusion
In this article, we have explored serverless computing, why GCP is a great choice for building and deploying serverless applications, and how to build and deploy your first serverless application on GCP using Cloud Functions, Cloud Run, and App Engine.
With GCP’s rich ecosystem of serverless services, you can quickly and easily build and deploy your applications without worrying about servers or infrastructure. So, what are you waiting for? Start building your serverless applications on GCP today!
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