Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 6 months ago

Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 6 months ago

Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 11 months ago

Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / 12 months ago

Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: about 1 year ago

Cloud SQL: managed relational database service for MySQL, PostgreSQL, and SQL Server. - Source: dev.to / 6 months ago

All cloud platforms are going to have a Postgres database support. Google has something called AlloyDB that looks fantastic for reliability and scalability. Cloud SQL is a bit more standard though. Source: about 1 year ago

Google SQL - not familiar with, does it solve the cons above? Source: about 1 year ago

Cloud SQL with MySQL as I can run it locally and know its queries will be expressive enough (where I am uncertain about Firestore, for instance). Source: over 1 year ago

For example, a Cloud Run Container is a provider for Services, whereas a Cloud SQL Server is a provider for databases. The providers are wrapped in parent containers that encapsulate the capabilities of their children. - Source: dev.to / over 1 year ago