Microsoft Azure Service Bus is a reliable, fully managed Cloud service for delivering messages via queues or topics. It has a free and paid tier. - Source: dev.to / about 1 year ago

Our team uses Azure as our cloud provider to manage all those resources. Every service uses different resources related to the business logic they handle. We use resources like Azure Service Bus to handle the asynchronous communication between them and Azure Key Vault to store the secrets and environment variables. - Source: dev.to / about 3 years ago

For event infrastructure, we have a bunch of options, like Azure Service Bus, Azure Event Grid and Azure Event Hubs. Like the databases, they aren't mutually exclusive and I could use all, depending on the circumstance, but to keep things simple, I'll pick one and move on. Right now I'm more inclined towards Event Hubs, as it works similarly to Apache Kafka, which is a good fit for the presentation context. - Source: dev.to / over 3 years ago

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