Google Cloud Platform

Score8.9 out of 10

58 Reviews and Ratings

What is Google Cloud Platform?

Google Cloud Platform is a suite of cloud computing services used to build apps or take advantage of cloud infrastructural services, achieve legacy infrastructure modernization, or manage enterprise data and analytic needs.

Categories & Use Cases

Media

Screenshot of a view of Google Compute Engine

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Screenshot of a view of Google Compute Engine

Operating system support
Range of operating systems available as pre-configured images
Category average: 8.2
Security controls
Compliance with security protocols like SSL and AES
Category average: 8.6
Service-level Agreement (SLA) uptime
The service uptime as a percentage defined in the SLA
Category average: 8.4

Automation
Automation of administrative tasks
Category average: 7.4
Pre-configured templates
Pre-defined templates for virtual machines
Category average: 7.7
Pre-defined machine images
Range of different server configurations available
Category average: 8.2

Katie Wurdack View profile

Senior Marketing Manager in Marketing at Colorado State University Online (51-200 employees employees)

Use Cases and Deployment Scope

We use it for cloud storage across our IT and Marketing teams at the University I work at. It is incredibly easy to set up, and ridiculously affordable. We use it as a connection tool from GA4 primarily to back up data since we don't have in house data storage capacity.

Pros

Easy to set up
Affordable use of the tool
Easy to access billing
Reliable service

Cons

Giving me a clearer sense of additional ways we could be using the service
Helping marketers better understand the use cases
Having invoices ready on the first day of the month would be ideal.

Return on Investment

It allows us to focus our efforts on other, more important items at hand
It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

Usability

Alternatives Considered

Box

Other Software Used

Google Ads, Google Analytics, Looker Studio

Verified User

Employee (501-1000 employees employees)

Use Cases and Deployment Scope

We use it to store and access data in the cloud. This includes bucket based storage in GCS buckets, but also queried data from BigQuery in the cloud. This enables easy sharing of data across projects. Additionally we use Google Cloud Platform for tracking logs of jobs running and executing in the cloud to debug failed runs.

Pros

Handles Permissions for Logging In
Makes querying BigQuery easy
Enables access and management of buckets

Cons

The Logs Explorer is quite hard to dig into and find logs of interest
BigQuery transparency for BigLake vs External tables isn't the best
Google Group management for permissions can get hairy.

Return on Investment

It speeds up my ability to deploy code
It handles permissions integrated across various servers
It has made it easy to integrate with our artifact repository

Usability

Alternatives Considered

Amazon S3 (Simple Storage Service) and Snowflake

Other Software Used

Codefresh, Prefect, Anyscale Unified Compute Platform

Verified User

Engineer in Information Technology (10,001+ employees employees)

Use Cases and Deployment Scope

We use Google Cloud for many things, like running our apps, keeping data, and a few neat things with Machine Learning. It lets us not think about servers and iterate on building faster. It scales well under high traffic without breaking a sweat. BigQuery is suitable for scanning through multiple terabytes of data quickly. It is also convenient for team projects, as everything is so centralized. It simplifies things and allows us to go faster without falling down tech rabbit holes.

Pros

First, scalability is just smooth. You launch something small, and suddenly, traffic spikes? Cp. The cloud handles it without having to panic or touch anything. Auto-scaling on the compute engine or GKE is a lifesaver.
Cloud functions is also good for just write a bit of code and it runs with.
Even when we need it. No server setup and provisioning. Suitable for automating small backend tasks.

Cons

The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.

Return on Investment

Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.

Usability

Alternatives Considered

Samsung SSD, AWS Chatbot, ChatGPT, Oracle API Manager, TrustRadius for Buyers, AWS Auto Scaling, AWS Amplify, 11:11 Solutions for AWS, AWS Backup, AWS CloudFormation, AWS CloudTrail and Azure AI Bot Service

Other Software Used

Azure App Service, AWS Amplify, Oracle API Manager

Ha Do Ngoc

SRE in Engineering at OneMount (1001-5000 employees employees)

Use Cases and Deployment Scope

My organization choose Google Cloud Platform to place almost the infrastructure in it because it is the most cheaper than other Cloud Providers. As SRE engineer, my team is in charge of managing all the cloud infrastructure. The scope of using Google Cloud Platform is quiet board inluding: backend and web hosting, data storage, data analytic, machine learning. I managed all of these and also monitor and optimize the cost of them.

Pros

Google Cloud Platform provide the autoscale workload when the workload need to scale up or down
Great pay-as-you-go pricing model and dashboard report of pricing that help user monitor and optimize the cost
Using simpler than other cloud provider

Cons

I think Google Cloud Platform can emphasis more on customer support

Return on Investment

It keep my organization stable and save, so that our business objectives still good for 3 years

Alternatives Considered

Amazon Web Services

Other Software Used

Amazon Web Services

Microsoft Azure

Oracle Cloud Infrastructure

Google Cloud Platform

What is Google Cloud Platform?

Categories & Use Cases

Media

Key Features

Top Performing Features

Operating system support

Security controls

Service-level Agreement (SLA) uptime

Areas for Improvement

Automation

Pre-configured templates

Pre-defined machine images

Reviews

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Other Software Used

Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

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Alternatives Considered

Other Software Used

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