Adding an API as a type provider
This page describes how to add an API to Google Cloud Deployment Manager as a type provider. To learn more about types and type providers, read the Types overview documentation.
A type provider exposes all of the resources of a third-party API to Deployment Manager as base types that you can use in your configurations. These types must be directly served by a RESTful API that supports Create, Read, Update, and Delete (CRUD).
If you want to use an API that is not automatically provided by Google with Deployment Manager, you must add the API as a type provider.
https://cloud.google.com/deployment-manager/docs/configuration/type-providers/creating-type-provider

gcloud deployment-manager deployments create creates deployments based on the configuration file.
(Infrastructure as code). All the configuration related to the artifacts is in the configuration file. This command correctly creates a cluster based on the provided cluster.yaml configuration file.
Ref: https://cloud.google.com/sdk/gcloud/reference/deployment-manager/deployments/create

https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs#setting_up_an_autohealing_policy

Let's analyze each option based on the requirements: PostgreSQL compatibility, significant performance improvement, minimal schema/code changes, handling large data volumes, Google-recommended practices, and cost minimization:
A: Migrate your data to AlloyDB: AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service that offers significant performance improvements over standard PostgreSQL due to its architectural optimizations. It is designed to handle large data volumes and minimizes the need for schema and application code changes as it's wire-compatible with PostgreSQL. This aligns well with the requirements for performance improvement, minimal changes, large data, and being a Google-recommended option for PostgreSQL workloads.
B: Migrate your data to Spanner: Spanner is a globally distributed, horizontally scalable database with strong consistency. While it offers excellent scalability and performance, it's not directly PostgreSQL-compatible.
Migrating to Spanner would likely require significant schema and application code changes due to differences in data modeling and SQL dialect.
C: Migrate your data to Firebase: Firebase is a suite of mobile and web development tools, with its primary database offering being Firestore (a NoSQL document database) and Realtime Database. These are not PostgreSQL-compatible and would require substantial changes to the data model and application code.
D: Migrate your data to Bigtable: Bigtable is a highly scalable NoSQL wide-column store. It's not compatible with PostgreSQL and requires a completely different data model and application logic.
Therefore, AlloyDB is the most suitable option as it provides PostgreSQL compatibility for minimal migration effort, significant performance improvements, scalability for large data volumes, and is a recommended Google Cloud database service for PostgreSQL workloads.
Google Cloud Documentation References:
AlloyDB for PostgreSQL Overview: https://cloud.google.com/alloydb/docs/overview - This document highlights AlloyDB's PostgreSQL compatibility, performance benefits, scalability, and suitability for migrating existing PostgreSQL workloads.
Spanner Overview: https://cloud.google.com/spanner/docs/overview - This emphasizes Spanner's unique features and differences from traditional relational databases like PostgreSQL.
Firebase Documentation: https://firebase.google.com/docs - This outlines the features of Firebase, including Firestore and Realtime Database, highlighting their NoSQL nature and incompatibility with PostgreSQL.
Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This describes Bigtable as a NoSQL database, emphasizing its differences from relational databases like PostgreSQL.