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

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.

===========

https://cloud.google.com/load-balancing/docs/url-map#configuring_url_maps

Path matcher constraints Path matchers and path rules have the following constraints: A path rule

can only include a wildcard character (*) after a forward slash character (/). For example, /videos/*

and /videos/hd/* are valid for path rules, but /videos* and /videos/hd* are not. Path rules do not

use regular expression or substring matching. For example, path rules for either /videos/hd or

/videos/hd/* do not apply to a URL with the path /video/hd-abcd. However, a path rule for /video/*

does apply to that path. https://cloud.google.com/load-balancing/docs/url-map-concepts#pmconstraints

https://cloud.google.com/network-connectivity/docs/vpn/concepts/classic-topologies#redundancyoptions

https://cloud.google.com/network-connectivity/docs/interconnect/how-to/dedicated/retrievingloas

:

If responses served by Cloud CDN are not compressed but should be, check that the web server

software running on your instances is configured to compress responses. By default, some web

server software will automatically disable compression for requests that include a Via header. The

presence of a Via header indicates the request was forwarded by a proxy. HTTP proxies such as

HTTP(S) load balancing add a Via header to each request as required by the HTTP specification. To

enable compression, you may have to override your web server's default configuration to tell it to

compress responses even if the request had a Via header.

https://cloud.google.com/sdk/gcloud/reference/dns/record-sets/import

https://cloud.google.com/interconnect/docs/how-to/dedicated/using-interconnects-other-projects

Using Cloud Interconnect with Shared VPC You can use Shared VPC to share your VLAN attachment in

a project with other VPC networks. Choosing Shared VPC is preferable if you need to create many

projects and would like to prevent individual project owners from managing their connectivity back

to your on-premises network. In this scenario, the host project contains a common Shared VPC

network usable by VMs in service projects. Because VMs in the service projects use this network,

Service Project Admins don't need to create other VLAN attachments or Cloud Routers in the service

projects. In this scenario, you must create VLAN attachments and Cloud Routers for a Cloud

Interconnect connection only in the Shared VPC host project. The combination of a VLAN attachment

and its associated Cloud Router are unique to a given Shared VPC network.

https://cloud.google.com/network-connectivity/docs/interconnect/how-to/enabling-multiplenetworks-access-same-attachment#using_with

https://cloud.google.com/vpc/docs/shared-vpc

Google Cloud VPC Network Peering allows internal IP address connectivity across two Virtual Private

Cloud (VPC) networks regardless of whether they belong to the same project or the same

organization.

: