Item: Google Compute Engine
Rating: 9
Author: Verified User

Overall Satisfaction with Google Compute Engine

Use Cases and Deployment Scope

For a very long period, we have been utilising Google Compute Engine. Our application data is hosted on virtual machines that we have been building.We have utilised it to host Vector Databases in addition to our front-end and back-end databases.For even quicker processing, we have been employing the virtual machines offered by the TPU, and the greatest part is that they are always 100% up and running.

Pros and Cons

Pros

Hosting application frontend, backend, or any such things in your Virtual machine.
As we know today's generation is about GenAI, and vector stores are a huge part of it, computer engines are also able to host the Vector DB's.
The security scans provided by the compute engine are also very good and helpful.
The snapshots feature is also amazing, if you want to delete a VM always try to take snapshots of it with the date.

Cons

VM creation can be made simpler. For the very first time, user might feel a bit uneasy about it.
Price calculation for a particular VM maybe it is sometimes not exactly correct.
Subnetworks are not supported it should support it.

Return on Investment

We were initially struggling to host our applications like the frontend, backend, databases, etc... It helped us with this.
As Google computer engines are available in all regions over the globe so, it provide less latency to the customers.
We can have a estimated cost analysis before the project starts which gives a better idea of how much to be invested.

Performance

Because Google Compute Engine consistently offers 100% uptime, security, and ease of use, I have awarded it this grade.Similar to the region section, they are accessible everywhere in the world, which results in lower latency and happier customers.The virtual machine gains strength and security via TPU support.It's rather intricate and pricey, but it's remarkable that there are so many security features.

Reliability and Availability

The Google Compute Engine is constantly up, healthy, and available. I have never experienced any issues with it loading or functioning.Since it is accessible everywhere in the world, it is always available with low latency for all regions.However, I have occasionally seen problems with various NoSQL databases' availability, such as MongoDB, in terms of speed.Overall though, it's always accessible.

Alternatives Considered

Amazon EC2 Auto Scaling

I have utilised Google Compute Engine in addition to Amazon EC2. Both exhibit excellent performance in terms of consumption, speed, and efficiency.My decision to adopt Google Compute Engine was solely based on how user-friendly it is. more basic UI/UX than EC2.Google's customer service is outstanding since we frequently require this type of assistance.

Key Insights

Do you think Google Compute Engine delivers good value for the price?

Yes

Are you happy with Google Compute Engine's feature set?

Yes

Did Google Compute Engine live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Google Compute Engine go as expected?

Yes

Would you buy Google Compute Engine again?

Yes

Other Software Used

Amazon EC2 Auto Scaling, Vertex AI, Google BigQuery

Likelihood to Recommend

It's ideal for you, as I've already shown, if you wish to host front-end, back-end, vector databases, and other website components.It provides 100% uptime due to its security, which is essential for both new and existing businesses.However, Firebase is also an excellent front-end option because it comes from Google.Because GCP provides so many options, it can be a little confusing for beginning users and is quite pricey and technical.

Google Compute Engine Feature Ratings

Comments

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Hosting made easier with Google Compute Engine