Application Design Center supports the following infrastructure resources:
Component category | Google Cloud product | Details | Configuration documentation |
|---|---|---|---|
Assets | Compute Engine | Compute Engine instance templates. | Configure a Compute Engine instance template |
Secret Manager | Stores and manages sensitive data such as API keys, usernames, passwords, and certificates. | Configure Secret Manager | |
Service account | Used by applications or workloads to access Google Cloud resources. | Configure a service account | |
| Services | AlloyDB for PostgreSQL | Fully managed, PostgreSQL-compatible database service for demanding transactional workloads. | Configure AlloyDB for PostgreSQL |
BigQuery | Fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time. | Configure BigQuery | |
Bigtable | Key-value and wide-column store, ideal for fast access to structured, semi-structured, or unstructured data. | Configure Bigtable | |
Cloud Run service | Fully managed application platform. Create services that listen for and serve requests. | Configure Cloud Run service | |
Cloud SQL | Managed database for MySQL. | Configure Cloud SQL (MySQL) | |
Managed database for PostgreSQL. | Configure Cloud SQL (PostgreSQL) | ||
Cloud Storage | Enterprise-ready object storage. | Configure Cloud Storage | |
Global Cloud Load Balancing | Global load balancer backend. | Configure a global Cloud Load Balancing backend service | |
Global load balancer frontend. | Configure a global Cloud Load Balancing frontend | ||
Memorystore for Redis | In-memory datastore for caches. | Configure Memorystore for Redis | |
Pub/Sub | Asynchronous and scalable messaging service. | Configure Pub/Sub | |
Regional Cloud Load Balancing | Regional load balancer backend. | Configure a regional Cloud Load Balancing backend service | |
Regional load balancer frontend. | Configure a regional Cloud Load Balancing frontend | ||
Spanner | Fully managed, mission-critical database service. | Configure Spanner | |
Vertex AI | Build, deploy, and scale ML models on Google Cloud. | Configure Vertex AI | |
Workloads | Cloud Run job | Fully managed application platform. Create a job that runs tasks and exits when finished. | Configure Cloud Run job |
Compute Engine | Compute Engine managed instance groups (MIG). | Configure a Compute Engine MIG |