Design and deploy applications in Google Cloud - Introducing Application Design Center

Google Cloud Tech · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

The video introduces Application Design Center (ADC), a Google Cloud service that streamlines the design, deployment, and evolution of cloud applications, ensuring they are secure, reliable, and aligned with best practices, leveraging AI-powered Gemini and integrated with AppHub.

Full Transcript

[Music] Hello and welcome. My name is Afrina and a product manager at Google Cloud. Today I am going to introduce you to application design center or ADC. ADC is Google Cloud's new service for designing and deploying application templates with built-in governance, security, and observability. It empowers platform engineers to create, share, and manage reusable application templates and app developers can deploy application instances directly from these designs. Crucially, it is AI powered by Gemini and deeply integrated with AppHub. Enabling ADC is straightforward. You can find detailed instructions in our official documentation. Simply navigate to the ADC section in the documentation and follow the steps. Before we jump into building an application, let's take a quick walk through of the application design center interface and its core concepts. First, we have spaces. Think of a space as a shared workspace where you and your teammates can see and use each other's design work. is where you and your team create application templates and deploy applications. Importantly, only an administrator can create a space and add members ensuring controlled access. Next, we work with app templates. These are the blueprints of your application made up of one or more components. You can create a template from scratch by clicking on create template or you can accelerate your development by copying and customizing Google provided templates or templates shared with your space found here in shared templates. You can also use Gemini chat to create a template from scratch which makes all of this very easy. Once you've selected or created a template, you will configure and deploy your applications. This involves setting up each component to meet your specific requirements and then deploying the application to your Google Cloud environment. If you have your own deployment tools and workflows, you can download the application design as Terraform files. Finally, we have catalogs. Cataloges allow administrators to share approved application templates within your space and with other spaces. This ensures consistency and promotes best practices across your organization. Let's build a three- tier e-commerce application. In this demo, I will create an application design using Google templates. Alternatively, you can create a design by chatting with Gemini Cloud Assist through the chat in the console. To learn more, watch our video ADC with Gemini Cloud Assist. You can find the link in the description below. Let's go ahead and click on create template. I'm going to fill out the template name. All the other fields are optional. Let's create the template. The template is now in the design canvas. Now I want to add two more cloudr run services, inventory and ordering service. There are a few ways to do this. Number one, I'm going to click on the plus button here. Scroll down and pick Cloud Run. Alternatively, you could also drag and drop it from here. Notice how it automatically made the connection as well. Number two, I will show you how to make design changes using chat. Let's type in add an ordering service to this design. Voila. Notice how Gemini picked up on the context and responded instantly. We did not start from scratch here. The green button shows the newly added service and the blue button shows a modified service. Now I'm going to rename my services. Let me add another database to store my inventory. I'm going to connect my search service to the cache. At this point, my design is complete. The application design center lets you review the Terraform code and export it out if needed. Although ADC can deploy your design, you might want to export it out if your organization already has a CI/CD pipeline or other deployment tools that you want to use for your deployment. Click on the code here and authorize cloud shell. Here you can see all the Terraform code that was created for this design. Now I am going to add this template to my catalog. You can now share this template to another space. This is useful for larger organizations who might want to share data pipeline templates with their data team, e-commerce templates with their e-commerce team and so forth. You can give your team permission to use ADC and access your space letting them collaborate in creating app templates. To grant them permissions, go to overview, scroll down, click on manage permissions. Understanding these roles is crucial for managing access and ensuring efficient collaboration. Next, we'll create an application instance from this template, specifying the necessary parameters for our environment. We can further configure individual components within the application instance such as setting instance sizes, database parameters, and network configurations. Now we'll deploy the application. ADC orchestrates the deployment ensuring all the components are provisioned and configured correctly. Select the service account and then preview the Terraform script. Okay. Then click deploy. Awesome. The application has been deployed. Here you can see the version of the app region and the template source. In this demo, we have built a three- tier e-commerce application using the Gemini design agent and the ADC canvas. We have customized each tier, created a template, and deployed the application. Want to give it a try yourself? Follow the link on the screen to get started with ADC today. Thank you. [Music]

Original Description

Application Design Center → https://goo.gle/4juM9hX This video gives an overview of Application Design Center, which helps platform admins and developers streamline the design, deployment, and evolution of cloud applications, while helping ensure that they are secure, reliable, and aligned with best practices. Watch more Gemini Cloud Assist → https://goo.gle/4jrspuQ Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech Speaker: Afrina M. Products Mentioned: Application Design Center #GoogleCloud #Gemini
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Google Cloud Tech · Google Cloud Tech · 0 of 60

← Previous Next →
1 I’m going for it #GoogleCloudCertified
I’m going for it #GoogleCloudCertified
Google Cloud Tech
2 I had to get #GoogleCloudCertified
I had to get #GoogleCloudCertified
Google Cloud Tech
3 Be better overall at what you do #GoogleCloudCertified
Be better overall at what you do #GoogleCloudCertified
Google Cloud Tech
4 Cloud Monitoring on our radar #Analysis #Uptime
Cloud Monitoring on our radar #Analysis #Uptime
Google Cloud Tech
5 Introduction to Generative AI Studio
Introduction to Generative AI Studio
Google Cloud Tech
6 How to use Github Actions with Google's Workload Identity Federation
How to use Github Actions with Google's Workload Identity Federation
Google Cloud Tech
7 Introduction to Responsible AI
Introduction to Responsible AI
Google Cloud Tech
8 Networking updates and CDMC-certified architecture
Networking updates and CDMC-certified architecture
Google Cloud Tech
9 Create and use a Cloud Storage bucket
Create and use a Cloud Storage bucket
Google Cloud Tech
10 How to digitize text from documents
How to digitize text from documents
Google Cloud Tech
11 Faster analytical queries with AlloyDB
Faster analytical queries with AlloyDB
Google Cloud Tech
12 Next ‘23 sessions and FaaS Wave
Next ‘23 sessions and FaaS Wave
Google Cloud Tech
13 Introduction to Assured Open Source Software
Introduction to Assured Open Source Software
Google Cloud Tech
14 BigQuery Cost Optimization: Storage
BigQuery Cost Optimization: Storage
Google Cloud Tech
15 BigQuery Cost Optimization: Compute
BigQuery Cost Optimization: Compute
Google Cloud Tech
16 BigQuery Cost Optimization: Select Queries
BigQuery Cost Optimization: Select Queries
Google Cloud Tech
17 Remote Field Equipment Management with Manufacturing Data Engine
Remote Field Equipment Management with Manufacturing Data Engine
Google Cloud Tech
18 Supercharging your applications with Cloud SQL Enterprise Plus
Supercharging your applications with Cloud SQL Enterprise Plus
Google Cloud Tech
19 Vector Support on our radar #GenAI
Vector Support on our radar #GenAI
Google Cloud Tech
20 Architecting a blockchain startup with Google Cloud
Architecting a blockchain startup with Google Cloud
Google Cloud Tech
21 Kubernetes and multitasking updates!
Kubernetes and multitasking updates!
Google Cloud Tech
22 GKE: Using Kubernetes Events
GKE: Using Kubernetes Events
Google Cloud Tech
23 How to configure firewall rules for Cloud Composer
How to configure firewall rules for Cloud Composer
Google Cloud Tech
24 Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
Vertex AI Embeddings API + Matching Engine: Grounding LLMs made easy
Google Cloud Tech
25 Geospatial analytics on our radar #EarthEngine #BigQuery
Geospatial analytics on our radar #EarthEngine #BigQuery
Google Cloud Tech
26 Ensuring requests are set in Kubernetes
Ensuring requests are set in Kubernetes
Google Cloud Tech
27 Cloud Next 2023, Google research program, and more!
Cloud Next 2023, Google research program, and more!
Google Cloud Tech
28 How to migrate projects between organizations with Resource Manager
How to migrate projects between organizations with Resource Manager
Google Cloud Tech
29 How to run #MySQL in Google Cloud
How to run #MySQL in Google Cloud
Google Cloud Tech
30 #GenerativeAI for enterprises and #Next2023
#GenerativeAI for enterprises and #Next2023
Google Cloud Tech
31 How Google Photos scales to store 4 trillion photos and videos
How Google Photos scales to store 4 trillion photos and videos
Google Cloud Tech
32 Google Cross-Cloud Interconnect (Demo 2)
Google Cross-Cloud Interconnect (Demo 2)
Google Cloud Tech
33 GKE Cost Optimization Golden Signals: Introduction
GKE Cost Optimization Golden Signals: Introduction
Google Cloud Tech
34 GKE Cost Optimization Golden Signals: Workload Rightsizing
GKE Cost Optimization Golden Signals: Workload Rightsizing
Google Cloud Tech
35 GKE Load Balancing: Overview
GKE Load Balancing: Overview
Google Cloud Tech
36 GKE Load Balancing: Best Practices
GKE Load Balancing: Best Practices
Google Cloud Tech
37 Disaster Recovery in GKE
Disaster Recovery in GKE
Google Cloud Tech
38 How to configure IP masquerade agent in GKE Standard clusters
How to configure IP masquerade agent in GKE Standard clusters
Google Cloud Tech
39 Enable and use GKE Control plane logs
Enable and use GKE Control plane logs
Google Cloud Tech
40 Compliance in Australia with Assured Workloads
Compliance in Australia with Assured Workloads
Google Cloud Tech
41 Creating budgets and budget alerts in Google Cloud #FinOps
Creating budgets and budget alerts in Google Cloud #FinOps
Google Cloud Tech
42 Cloud SQL Enterprise Plus on our radar #mySQL
Cloud SQL Enterprise Plus on our radar #mySQL
Google Cloud Tech
43 What's Next for Google Cloud?
What's Next for Google Cloud?
Google Cloud Tech
44 How Loveholidays scaled with Contact Center AI
How Loveholidays scaled with Contact Center AI
Google Cloud Tech
45 What is fleet team management in GKE?
What is fleet team management in GKE?
Google Cloud Tech
46 Troubleshoot VPC Network Peering
Troubleshoot VPC Network Peering
Google Cloud Tech
47 Introduction to DocAI and Contact Center AI
Introduction to DocAI and Contact Center AI
Google Cloud Tech
48 Cloud Run Direct VPC egress explained
Cloud Run Direct VPC egress explained
Google Cloud Tech
49 Database deployment options in GKE
Database deployment options in GKE
Google Cloud Tech
50 Analyze cloud billing data with #BigQuery
Analyze cloud billing data with #BigQuery
Google Cloud Tech
51 Tips to becoming a world-class Prompt Engineer
Tips to becoming a world-class Prompt Engineer
Google Cloud Tech
52 Serverless is simple. Do I need CI/CD?
Serverless is simple. Do I need CI/CD?
Google Cloud Tech
53 Accelerating model deployment with MLOps
Accelerating model deployment with MLOps
Google Cloud Tech
54 How Hawaii's Department of Human Services scaled with CCAI
How Hawaii's Department of Human Services scaled with CCAI
Google Cloud Tech
55 Pricing API on our #Radar
Pricing API on our #Radar
Google Cloud Tech
56 How Recommendations AI for Media can boost customer retention
How Recommendations AI for Media can boost customer retention
Google Cloud Tech
57 Troubleshooting: Node Not Ready Status
Troubleshooting: Node Not Ready Status
Google Cloud Tech
58 One weekend until Cloud Next 2023!
One weekend until Cloud Next 2023!
Google Cloud Tech
59 #GoogleCloudNext starts tomorrow!
#GoogleCloudNext starts tomorrow!
Google Cloud Tech
60 #GoogleCloudNext will be demand!
#GoogleCloudNext will be demand!
Google Cloud Tech

The video introduces Application Design Center, a Google Cloud service that helps platform engineers and app developers design, deploy, and manage cloud applications, leveraging AI-powered Gemini and integrated with AppHub. Viewers can learn how to create reusable application templates, deploy applications, and manage permissions.

Key Takeaways
  1. Enable Application Design Center
  2. Create a space and add members
  3. Create an application template from scratch or use Google-provided templates
  4. Configure and deploy the application
  5. Use Gemini chat to create a template
  6. Download the application design as Terraform files
  7. Create an application instance from a template
  8. Deploy the application using ADC
💡 Application Design Center streamlines the design, deployment, and evolution of cloud applications, ensuring they are secure, reliable, and aligned with best practices, leveraging AI-powered Gemini and integrated with AppHub.

Related Reads

📰
7 Free AI Courses to Actually Level Up in 2026
Boost your AI skills with 7 free courses in 2026, from basics to advanced topics, and enhance your career prospects
Dev.to · juvet manga
📰
AI Weekly Briefing: OpenAI's Flagship Model Finally Ships as Industry Pivots from Scale to Strategy
Learn how OpenAI's flagship model is shifting the industry's focus from scale to strategy and what this means for AI development
Dev.to · Richard Dillon
📰
Top AI Papers on Hugging Face - 2026-07-13
Learn about the top AI papers on Hugging Face, including video generation, agent benchmark, and reasoning, and how to apply them in your work
Dev.to · Y Hành Nhan
📰
Integrating LLMs into ERP Without Breaking Existing Workflows
Learn how to integrate LLMs into ERP systems without disrupting existing workflows, enabling businesses to leverage AI for improved operational efficiency
Dev.to · Lacey Glenn
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →