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 |