Recommendations you can check.
Part of Google Cloud
Who uses, chose or left Cloud Storage, quoted from their own engineering posts, each with the link.
4 companies
Switching to GCS allows us to leverage its built-in redundancy and multi-region capabilities.
Why GitLab.com moved from Azure to Google Cloud Platform
2018-06-25·about.gitlab.com ↗
After outgrowing NFS and RIAK object storage technologies, we decided to move T2 cache alone to Google Cloud Storage (GCS), improving scalability, reducing maintenance costs and putting it closer to our content delivery providers (CDNs).
Wayfair's first production move into Google Cloud: its image cache
2021-05-26·aboutwayfair.com ↗
In order for the managed services to work, the data needs to be in shared Google Cloud Storage.
Twitter's Partly Cloudy hybrid architecture for its Hadoop clusters
2019-05-09·blog.twitter.com ↗
We also migrated all file artifacts, including CI Artifacts, Traces (CI log files), file attachments, LFS objects and other file uploads to Google Cloud Storage (GCS), moving about 200TB of data off our Azure-based file servers into GCS.
GitLab moved 200TB of artifacts into Google Cloud Storage
2019-05-02·about.gitlab.com ↗
We started with Google Cloud Storage. Once we overcame all the problems with Google’s platform, we began the same process on Amazon by developing a data distribution system that copied data from one cloud provider to another.
Wix on storing media across Google Cloud Storage and Amazon to avoid vendor lock-in
2013-01-17·wix.engineering ↗
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.
The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.