Expected and Delivered things over GCP.
May 17, 2025
Expected and Delivered things over GCP.
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google Cloud Platform
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.
- 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.
- 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
We also use AWS and Azure in the setup, but went as far as GCP because it scales data workloads. BigQuery made complex analytics so fast and painless. The fact that it plays nicely with other Google tools means a better fit for how our teams work. GCP offered us more reliable pricing and simplified developer workflow to the level we needed for the projects we run, so although we use all three, most of our core apps and data pipelines live there in GCP.
Do you think Google Cloud Platform delivers good value for the price?
Yes
Are you happy with Google Cloud Platform's feature set?
Yes
Did Google Cloud Platform live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Google Cloud Platform go as expected?
Yes
Would you buy Google Cloud Platform again?
Yes
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