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Google Cloud Storage

Durable and highly available object storage service

What is Google Cloud Storage?

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
Google Cloud Storage is a tool in the Cloud Storage category of a tech stack.

Who uses Google Cloud Storage?

Companies
351 companies reportedly use Google Cloud Storage in their tech stacks, including Stack, HENNGE K.K., and Accenture.

Developers
744 developers on StackShare have stated that they use Google Cloud Storage.

Google Cloud Storage Integrations

Datadog, Fastly, Google Cloud Functions, Cloud Functions for Firebase, and Buddy are some of the popular tools that integrate with Google Cloud Storage. Here's a list of all 42 tools that integrate with Google Cloud Storage.
Pros of Google Cloud Storage
28
Scalable
18
Cheap
14
Reliable
9
Easy
3
Chealp
1
More praticlal and easy
Decisions about Google Cloud Storage

Here are some stack decisions, common use cases and reviews by companies and developers who chose Google Cloud Storage in their tech stack.

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

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Greg Smethells
CTO and Software Architect at Medstrat · | 3 upvotes · 49.7K views

We use AppOptics. I am curious what are the current leaders for APM for small companies (50 employees) that use Python, MariaDB, RabbitMQ, and Google Cloud Storage. We run both Celery and Gunicorn services. We are considering Datadog or some other deep code profiling tool that can spot I/O, DB, or other response time/request rate issues

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Reading data from on prem data lake to cloud storage in order to utilize cloud computing for resource heavy operations regarding NLP and ML (<10GB Total). Trying to decide if we need to utilize Google BigQuery here or if we can work directly form Google Cloud Storage with a DataProc cluster. Any thoughts here would be appreciated in regards to which would be a better approach. Thanks!

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Blog Posts

Google Cloud Storage's Features

  • High Capacity and Scalability
  • Strong Data Consistency
  • Google Developers Console Projects
  • Bucket Locations
  • REST APIS
  • OAuth 2.0 Authentication
  • Authenticated Browser Downloads
  • Google Account Support for Sharing

Google Cloud Storage Alternatives & Comparisons

What are some alternatives to Google Cloud Storage?
Google Drive
Keep photos, stories, designs, drawings, recordings, videos, and more. Your first 15 GB of storage are free with a Google Account. Your files in Drive can be reached from any smartphone, tablet, or computer.
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
Amazon Glacier
In order to keep costs low, Amazon Glacier is optimized for data that is infrequently accessed and for which retrieval times of several hours are suitable. With Amazon Glacier, customers can reliably store large or small amounts of data for as little as $0.01 per gigabyte per month, a significant savings compared to on-premises solutions.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
DigitalOcean Spaces
DigitalOcean Spaces are designed to make it easy and cost effective to store and serve massive amounts of data. Spaces are ideal for storing static, unstructured data like audio, video, and images as well as large amounts of text.
See all alternatives

Google Cloud Storage's Followers
1001 developers follow Google Cloud Storage to keep up with related blogs and decisions.