Item: Google Compute Engine
Rating: 8
Author: Verified User

Overall Satisfaction with Google Compute Engine

Use Cases and Deployment Scope

We use it for cross platform software testing and its performance, earlier we were using VM Ware for the same but because Google Compute Engine grants you with more features to increase/decrease the core capabilities of the OS involved for the application testing, we are able to do regression testings more efficiently.

It helped us in identifying the key lacking areas/bugs during the initials phases of a product development.

Pros and Cons

Pros

Networking via VPC (Virtual Private Cloud)
Big Data Analysis/IoT
Storage/Databases for Data Transfer
Machine Learning for cloud based translations

Cons

Third party integrations are very tricky, UI can be improved
Artificial Intelligence is an area that can be clubbed together with Machine Learning for better result and future customisation
Networking tools can be simplified for better structuring

Return on Investment

Its easy to measure the profitability, due to fix cost of supported products
We were able to expand/research more towards utilising AI with Machine learning to increase the SaaS based output

Alternatives Considered

Azure Machine Learning, BT IaaS, Amazon Elastic Compute Cloud (EC2), IBM Cloud Databases, Cisco Storage Area Networking and IBM Networking Services for Software Defined Networks

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability.

It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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

Azure Cloud Services, IBM Analytics Engine, Amazon Elastic Compute Cloud (EC2)

Likelihood to Recommend

I would still recommend Google Compute Engine for application build and testing but not for building SaaS. As it'd be more tricky to integrate any third party apps, as Google already provides most of the services but sometime our clients request for such customisations, which is more suited per their internal alignments.

Machine Learning is a tool which is more efficient than any other provider and has wide range of languages for processing.

Google Compute Engine Feature Ratings

Evaluating Google Compute Engine and Competitors

Products Replaced

Key Differentiators

Cloud Solutions
Scalability
Integration with Other Systems
Ease of Use

As Google Compute Engine is building a whole ecosystem, it'll help us with future scalability as most of the SaaS are now slowly transitioning from AWS to Google for better support and ease of integration with other tools that Google provides such as Google Analytics, etc.

Integration with other third-party systems is still a challenge, but otherwise, Google Compute Engine is a good to go IaaS provider.

Evaluation Lessons Learned

I would love to ensure smooth integrations with third-party applications and for that I'd do a trial before signing up for the Google Compute Engine tools.

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Impact of Google Compute Engine on the Organisational Infrastructure