Google Compute Engine Reviews & Product Details

One of the things I like most i like about Google Engine is that I can create highly customized machine types with exact CPU and memory specs based on the specific workloads. The live migration is also a massive advantage, as it keeps my instances running smoothly even during backend maintenance. Review collected by and hosted on G2.com.

While the core features are robust, I find that some of the documentation are outdated or lacks in-depth troubleshooting steps. I also find that the premium tech support cost can be quite high for smaller organizations that aren't on an enterprise level. Review collected by and hosted on G2.com.

What I appreciate most about GCE is its emphasis on performance and the flexibility of its customizable VM architecture. One standout feature is live migration, which allows virtual machines to remain operational during maintenance, minimizing downtime—a capability that's uncommon among major providers. The per-second billing model ensures you only pay for the resources you actually use, adding to its cost-effectiveness. With custom machine types, you can precisely adjust CPU and RAM allocations rather than being limited to preset VM sizes. Networking performance is robust, which is particularly beneficial for distributed workloads and global deployments. Additionally, GCE offers deep integration with Google services, making it especially advantageous for AI/ML workloads, Kubernetes, and BigQuery. Altogether, these features make GCE a highly cost-efficient and reliable choice for production workloads, particularly for organizations that require flexibility and high uptime. Review collected by and hosted on G2.com.

One aspect I find frustrating about Google Compute Engine is the complexity of its pricing structure. The costs for custom machine types and network egress can accumulate quickly, and if you’re not keeping a close eye on your usage, it’s easy to end up spending more than intended. Review collected by and hosted on G2.com.

Google Compute Engine is reliable, secure and scalable platform to get direct access to Goggle finest compute. It has a lot of pricing tiers to match my requirement with a variety of RAM, storage and processing. Review collected by and hosted on G2.com.

The compute power of always free tier of compute engine is very low. It is unable to sustain a lot of traffic and might get down. Review collected by and hosted on G2.com.

Easy to spin up virtual machines quickly with custom configurations. Wide choice of machine types (general-purpose, compute-optimized, memory-optimized).Automatic sustained-use discounts reduce costs without manual effort.

Strong network performance with global infrastructure. Seamless integration with other Google Cloud services (BigQuery, Cloud Storage, Kubernetes).Good customer support

Ease of Implementation : Setting up virtual machines is simple and straightforward, whether you choose a predefined machine type or customize your own.

Frequency of Use: It works well for both occasional testing and frequent production workloads, making it highly versatile. Review collected by and hosted on G2.com.

The pricing structure can be confusing for beginners. Fewer predefined instance types compared to AWS EC2. Support costs extra unless you’re on an enterprise plan. Some features (like preemptible VMs) have limitations that make them tricky for long-term workloads. Learning curve if you’re new to Google Cloud. Review collected by and hosted on G2.com.

As a full-stack developer, I use Google Compute Engine a lot for application deployment and scaling. One of the best parts about GCE is the easy implementation; it's simple to set up VMs, and easy to integrate with Docker and Kubernetes, once you figure out the IAM stuff. I usually have a reliable experience with the platform over a lot of regular usage, especially taking advantage of the live migration and load balancing features. Customer service and documentation are usually pretty useful and consistently updated (though having some more in-depth troubleshooting would really help sometimes). Review collected by and hosted on G2.com.

The one issue I’ve faced with GCE is the complexity of IAM roles and permissions. While powerful, managing access control can feel overwhelming at first, especially when collaborating on multi-user projects. Review collected by and hosted on G2.com.

What I like best about Google Compute Engine (GCE) is its scalability, flexibility, and performance. Because I can quickly provision virtual machines with customized CPU, memory, and storage configurations to fit any workload, and GCE integrates seamlessly with other GCP services.

The infrastructure worldwide ensures high availability, and features such as live migration, automatic load balancing, and robust security make it reliable for both development and production environments.

This is something an upside I have felt as an upside while using the GCE in my projects. Review collected by and hosted on G2.com.

The one thing I hate most about the GCE is its "pricing structure," specifically when scaling multiple instances, because if you're doing the same thing on the AWS platform, it offers features like savings plans and reserved instances, which let you commit to usage over a period of time in exchange for lower prices. Review collected by and hosted on G2.com.

Google Compute Engine is straight-up powerful, no second thoughts there. Spinning up VMs is insanely fast, and scaling them feels like a cakewalk. One could pick any OS, tweak theirh machine types, and basically build their infrastructure however they want. The network is solid, uptime is rock-steady, and once plugged into the rest of Google’s ecosystem—storage, BigQuery, AI tools—it’s basically plug-and-play. For anyone who wants raw cloud power without too much hand-holding, GCE delivers. Review collected by and hosted on G2.com.

Spoiler Alert: Pricing. It can sneak up if one's not careful; idle VMs will quietly drain your wallet. The console, while powerful, sometimes feels like a labyrinth—easy for the basics, confusing when you go deeper. And support? Meh. Not lightning fast. If things go south, you might be staring at your screen a bit longer than you’d like. Review collected by and hosted on G2.com.

GCP makes it easy to run severless functions or deploy instances to run containers on vm or kubernetes. Their integration with iaas tools ike terraform etc makes it easy to provision and manage resources on GCP. Also its quite user friendly compared to other platforms Review collected by and hosted on G2.com.

The least helpful thing would be no real time observability into the service we use. The dashboard gets update after a lot of time. Also, both deprecated and new updates are not properly conveyed and there's a bit of confusion. Review collected by and hosted on G2.com.

I like most about Google Compute Engine is its flexibility and performance. Creating and managing virtual machines is straightforward once you get familiar with it. It integrates well with other Google Cloud services, which makes deployment and scaling easier. The platform is reliable, offers many configuration options, and works well for both small and large workloads. Review collected by and hosted on G2.com.

The platform has a learning curve, especially for new users. Setting up networking, permissions, and security can be confusing at first, and documentation can sometimes feel overwhelming. Review collected by and hosted on G2.com.

I really appreciate the scalability and flexibility of Google Compute Engine. It’s easy to spin up virtual machines with customized specifications, and the integration with other Google Cloud services is seamless. Performance is generally very reliable, even under heavy workloads. Review collected by and hosted on G2.com.

The pricing model can be a bit confusing at first, and costs can increase quickly if not monitored. Some advanced networking configurations also require a steep learning curve, and the interface can feel overwhelming for beginners. Review collected by and hosted on G2.com.