High productivity and good ROI with unique services
March 20, 2024

High productivity and good ROI with unique services

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Compute Engine

A scalable and flexible setup to quickly get our apps up and running without dropping tons of cash upfront, paying only for what we actually use with that pay-as-you-go thing and resources automatically scaling to match demand. High availability comes baked in through load balancing across Google's global infrastructure, with security features and custom VM configs letting us tailor things to our app's needs. With growth, it is possible to integrate with Google's full suite of cloud services like analytics, machine learning, serverless, etc. - to keep adding on capabilities while still focusing on building cool stuff instead of dealing with infrastructure headaches. Comparable to AWS EC2.
  • Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
  • Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
  • Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
  • The pricing model can get a bit convoluted at times
  • While the integration with other Google Cloud services is pretty slick, linking up Google Compute Engine with services outside of Google's ecosystem isn't always smooth sailing
  • The learning curve for more advanced Google Compute Engine features can be pretty steep at times
  • Scalability means flexibility and less upfront costs
  • Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
  • Ramp up time is long, but after that it is quick to do many things and ROI is awesome
  • Amazon Elastic Compute Cloud (EC2)
AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute Engine, and in some cases they are better than the AWS comparable, in some cases there is no AWS comparable.

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

If your startup has a web app or SaaS offering that needs to scale quickly based on user demand, Google Compute Engine's auto-scaling capabilities make it a great fit. You can easily spin up more VMs during traffic spikes without overprovisioning resources. For data-intensive workloads like big data processing or training machine learning models, Google Compute Engine's flexible compute instances with GPU support can provide cost-effective scalability. If you have a short-term project or MVP with minimal scaling needs, the overhead of setting up Google Compute Engine may not be worth it.

Google Compute Engine Feature Ratings

Dynamic scaling
9
Elastic load balancing
9
Pre-configured templates
6
Pre-defined machine images
7
Operating system support
8
Security controls
9