Documentazione di Cloud Code for VS Code
Cloud Code per VS Code fornisce il supporto IDE per l'intero ciclo di sviluppo delle applicazioni Kubernetes e Cloud Run, dalla creazione di un cluster all'esecuzione dell'applicazione completata, nonché per lo sviluppo di API che utilizzano Apigee.
Inizia la tua proof of concept con 300 $di credito gratuito
- Accedi a Gemini 2.0 Flash Thinking
- Utilizzo mensile gratuito di prodotti molto apprezzati, tra cui API di IA e BigQuery
- Nessun addebito automatico, nessun impegno
Risorse di documentazione
Guide rapide
-
Installa l'estensione Cloud Code
-
Codifica con l'assistenza di Duet AI
-
Guida rapida: esegui il deployment di un'app Kubernetes con Cloud Code per VS Code
-
Guida rapida: esegui il deployment di un servizio Cloud Run con Cloud Code for VS Code
-
Guida rapida: esegui il deployment di un'app Kubernetes utilizzando lo sviluppo in remoto
-
Video correlati
Text to image with Google Cloud’s Vertex AI on Cloud Run
Code lab → https://goo.gle/4iLL2KK Unleash your creativity and build an image generation app using Vertex AI on Google Cloud. With Google Cloud's Vertex AI image generation model, developers can create stunning visuals without the need for complex
Cloud Security Risks: Identify and Protect Against Threats
Enhance your skills with hands-on labs on Google Cloud Skills Boost! Get started with the Beginner: Google Cloud Cybersecurity Certificate: https://goo.gle/49QvSia [Course 3 of 5, Google Cloud Cybersecurity Certificate]Delve into the key aspects of
Migrate App Engine Users service to Cloud Identity Platform (Module 21)
Serverless Migration Station is a Serverless Expeditions miniseries focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. Module 21 is the second video focused on migrating from the App
Migrating App Engine pull tasks to Cloud Pub/Sub (Module 19)
Serverless Migration Station is a Serverless Expeditions mini-series focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In Module 19, the second video focused on App Engine pull tasks,
How to use App Engine Task Queue pull tasks (Module 18)
Serverless Migration Station is a Serverless Expeditions mini-series focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In Module 18, Google engineers Martin & Wesley show viewers how
Extending support for App Engine bundled services: Part 1 (Module 17)
Serverless Migration Station is a Serverless Expeditions mini-series, a set of videos focused on helping developers modernize their applications running on a Google Cloud serverless compute platform. In this Module 17 video, Google engineers Martin
Building a highly available Cloud Run app with Cloud Spanner
When building a business critical serverless application, high availability and multi-regional databases guarantee reliability. If one region goes down, you can send all of your traffic to a secondary region to prevent failure. Watch along and learn
How to build a three-tier serverless Cloud Run app
Deploy Stack Todo → https://goo.gle/3d7dg55 Want to learn how to build a three-tier serverless Cloud Run app? In this episode of Serverless Expeditions Extended, we walk through building a three-tier serverless app on Cloud Run! Watch to learn how a
Migrating from Cloud Datastore to Cloud Firestore (Part 1: app migration)
Serverless Migration Station is a mini-series from Serverless Expeditions, designed to help Google Cloud developers modernize their applications running on one of the serverless compute platforms. Cloud Datastore and Cloud Firestore are two NoSQL
Choreography vs Orchestration in microservices
Pic-a-Daily Serverless Workshop → https://goo.gle/3cDzc2U Source code → https://goo.gle/2QrTBC9 Microservices in serverless applications can have different ways in which they interact and communicate with one another. In the last episode, we explored
Choreography vs Orchestration in microservices
Pic-a-Daily Serverless Workshop → https://goo.gle/3cDzc2U Source code → https://goo.gle/2QrTBC9 When working with serverless applications that are running on microservices, microservices can interact with one another in different ways such as
Simplify Cloud Run development with Visual Studio Code
Deploying a Cloud Run service with Visual Studio Code → https://goo.gle/31zSJgD Google Cloud blog → https://goo.gle/3dfzpuk Building a Cloud Run web application and using Visual Studio Code? In this episode of Serverless Toolbox Extended, Martin and
How to dub a video with AI
Read the blog → https://goo.gle/3oOCS7e Subs vs dubs--which is best? In past episodes, we’ve used subtitles to enhance the viewing experience for viewers whose first language isn’t English. But what if instead of just adding subtitles, we dubbed
Cloud Functions vs. Cloud Run
Building with serverless on Google Cloud can be difficult in regards to determining what product serves your specific use case the best. In this episode of Serverless Expeditions Extended, we speak to the different, serverless use cases for Cloud
Kubernetes and VS Code: Zero to Deployed (Next '19 Rewind)
Without leaving VS Code, David will take you from no cluster or code to a deployed and running Kubernetes application on GKE in minutes. He’ll show how to live debug the application on while continually fixing issues and re-deploying the latest
Infrastructure as a Code with Deployment Manager (Cloud Next '19)
You’ve just migrated your on-premises infrastructure to Google Cloud using a simple “Lift and Shift” migration strategy. Now you realize that you can’t manage your VM’s and related resources in the same way as before. You’ve already read about the
Dead Easy Kubernetes Workflows With VS Code (Cloud Next '19)
Kubernetes is portable, extensible, and powerful — but getting started is painful. Deploying a simple application on Kubernetes involves multiple configuration files and tedious steps. In this session, we'll explore some Visual Studio code extensions
Kubernetes and VS Code: Zero to Deployed (Cloud Next '19)
Without leaving VS Code we’ll take you from no cluster or code to a deployed and running Kubernetes application on GKE in minutes. We’ll show how to live debug the application on while continually fixing issues and re-deploying the latest changes.