General Availability is the stage where SLAs apply.
Deprecated - in the deprecated stage, you should start moving away from those APIs and products. Depending on the deprecation policy, SLAs could still be valid.

- Google Storage is GCP's version of AWS Simple Storage Service (S3) and an S3 bucket would be equivalent to a Google Storage bucket across the two clouds

=> Cloud Pub/Sub- Cloud Pub/Sub is the best to be the end-point for ingesting large amounts of data. It will grow as required, can stream data to downstream systems, and can also work with intermittently available backends.
=> Cloud Dataflow- supports streaming data and therefore is an appropriate option for processing the data that is ingested.
=> BigQuery- BigQuery also supports streaming data and its possible to do real time ana-lytics on it.
=> DataStudio- DataStudio and Looker are for visualization. They don't have any in-built analysis.
=> Cloud Functions- Cloud Functions is a useful serverless endpoint. However, Pub/Sub is better in this case because it can also retain messages for a set period if it was not possi-ble to deliver it first time.
=>Cloud Dataproc- Cloud Dataproc is used for Hadoop/Spark workloads and won't be a good fit here.

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Because GCP provides three options for paid support which are Standard, Enhanced and Premium.
Basic Support is included with your Google Cloud subscription which cover only Case, phone, and chat support for billing issues only Reference link- https://cloud.google.com/support