Overview
What is Google Compute Engine?
Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
Quality product, comparable to ECS
Google Compute Engine the time and capital Saviour with superpowers like Hyper Reliability and super Performance.
Google Compute Engine review
High Performance, Scalable Cloud Computing with Seamless Integration with other Google Services.
My Review on Google's Compute Engine
GCP Cloud's Google Compute Engine
- VM instances for Linux as well as Windows
- GKE Cluster for hosting self …
A Robust and Scalable Cloud Infrastructure Solution. Improve Performance and Cost-Effectiveness of Our Applications.
Easier Way to Create Client Apps
Google Compute Engine Review
Google Compute Engine || Alternate to AWS EC2
Highly Available and Cost Effective Cloud Provider
GCE - Reliable and cost effective cloud infrastructure provider
Google Compute Engine is Amazing!
Impact of Google Compute Engine on the Organisational Infrastructure
Awards
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Popular Features
- Operating system support (50)7.777%
- Security controls (50)7.676%
- Pre-defined machine images (49)6.565%
- Pre-configured templates (48)6.161%
Reviewer Pros & Cons
Pricing
Preemptible Price - Predefined Memory
0.000892 / GB
Three-year commitment price - Predefined Memory
$0.001907 / GB
One-year commitment price - Predefined Memory
$0.002669 / GB
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Google Compute Engine Load Balancing, a quick introduction
Computing with Google Compute Engine
RouterOS CHR deployment in Google Compute Engine (GCE) demo
Creating Custom Images for Google Compute Engine
Hands on with Load Balancing on Google Compute Engine
Features
Infrastructure-as-a-Service (IaaS)
IaaS provides the basic building blocks for an IT infrastructure like servers, storage, and networking, in an on-demand model over the Internet
- 8.1Service-level Agreement (SLA) uptime(25) Ratings
The service uptime as a percentage defined in the SLA
- 8.4Dynamic scaling(47) Ratings
Ease of scaling up or down in response to customer needs
- 8Elastic load balancing(43) Ratings
Automatic balancing and distribution of resources across multiple virtual computers
- 6.1Pre-configured templates(48) Ratings
Pre-defined templates for virtual machines
- 3Monitoring tools(26) Ratings
Monitoring tools provide alerts when problems are detected
- 6.5Pre-defined machine images(49) Ratings
Range of different server configurations available
- 7.7Operating system support(50) Ratings
Range of operating systems available as pre-configured images
- 7.6Security controls(50) Ratings
Compliance with security protocols like SSL and AES
- 7.9Automation(2) Ratings
Automation of administrative tasks
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Google Compute Engine?
Virtual machines for any workload
Online VMs on high-performance, reliable cloud infrastructure offered on preset or custom machine types for web servers, databases, or AI.
Includes one e2-micro VM instance, up to 30 GB storage, and up to 1 GB of outbound data transfers free per month.
Preset and custom configurations
Prebuilt samples called Jump Start Solutions can be used to deploy an application in minutes, such as a dynamic website, load-balanced VM, Java application, three-tier web app, or ecommerce web app.
Offers predefined machine types, sizes, and configurations for any workload, from large enterprise applications, to modern workloads (like containers) or AI/ML projects that require GPUs and TPUs.
For more flexibility, a custom machine type between 1 and 96 vCPUs with up to 8.0 GB of memory per core can be created. Also offers many block storage options, from flexible Persistent Disk to high performance and low-latency Local SSD.
Industry-leading reliability
Compute Engine boasts strong single instance compute availability SLA: 99.95% availability for memory-optimized VMs and 99.9% for all other VM families. Offers live migration to maintain workload continuity during planned and unplanned events. When a VM goes down, Compute Engine performs a live migration to another host in the same zone.
Automations and recommendations for resource efficiency
VMs can be added automatically to handle peak load and replace underperforming instances with managed instance groups.
Resources can be manually adjusted using historical data with rightsizing recommendations, or capacity for planned demand spikes can be guaranteed with future reservations. All of Google's latest compute instances (C3, A3, H3) run on Titanium, a system of purpose-built microcontrollers and tiered scale-out offloads to improve infrastructure performance, life cycle management, and security.
Pricing and discounting
Google offers detailed pricing guidance for any VM type or configuration, and a pricing calculator to get a personalized estimate.
To save on batch jobs and fault-tolerant workloads, Spot VMs are offered to reduce costs. Automatic discounts for sustained use are offered, or up to 70% off when signing up for committed use discounts.
Security controls and configurations
Encrypts data-in-use and while it’s being processed with Confidential VMs.
Defends against rootkits and bootkits with Shielded VMs.
Meets compliance standards for data residency, sovereignty, access, and encryption with Assured Workloads.
Google Compute Engine Features
Infrastructure-as-a-Service (IaaS) Features
- Supported: Dynamic scaling
- Supported: Elastic load balancing
- Supported: Pre-configured templates
- Supported: Pre-defined machine images
- Supported: Operating system support
- Supported: Security controls
Google Compute Engine Screenshots
Google Compute Engine Videos
Google Compute Engine Competitors
Google Compute Engine Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(173)Attribute Ratings
Reviews
(1-25 of 50)Hosting made easier with Google Compute Engine
- 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.
- 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.
Quality product, comparable to ECS
- Easy deployment
- Easy configuration
- Custom control over hosts (compared to Kube)
- UI very basic
- Analytics could be better
- Scalability, as we needed the backend and our number of users were less so we used e2 medium and then when it went in production we used e2 large instance
- Easy to configure, switching between settings and configuration was too easy just by some clicks and all things are done, including ports, security, etc
- Snapshots and Virtual machine Image creation feature is too good when we don't need machine we stop it and create a snapshot of it for future use.
- Networking configurations are somewhat hard to configure we need to add rules and policies and there I got confused a lot of time
- Should include Automatic Scalability and Costing accordingly
Google Compute Engine review
- Easily customizable userdata scripts in compute engines
- The integration with other services using RBAC is easy and quick
- Community support for vm images if excellent
- The UI can be improved. Difficult to find stuff if one is not experienced with GCP.
- The cost options can be made much more competitive.
High Performance, Scalable Cloud Computing with Seamless Integration with other Google Services.
- Quick customer service and intuitive design.
- Top tier performance and seamless integration with other google services.
- 24/7 support and user-friendly services.
- Scalable and affordable for effortless workload adjustments.
- Resource management and optimization can become complex, especially in large scale deployments.
- Though not very important, more preconfigured templates would be a good addition to the platform.
- Despite these issues, the platform delivers very satisfactory performance.
My Review on Google's Compute Engine
- configuration of firewall from ui is very easy.
- can change the name of VM. Sometime the default name got saved which is very confusing, so we can change the VM name after stop it.
- addition of extra disk space can be done in few clicks.
- I got discount on VM original price.
- I find the documentation a lit bit hard to understand for few times.
- It will be good if I can change the VM name without stopping it.
- Sometime the SSH feels slow and looks like its lagging.
GCP Cloud's Google Compute Engine
- VM instances for Linux as well as Windows
- GKE Cluster for hosting self auto-scaling cluster running dynamic/multiple applications
- Multi-user project management
- Multiple projects hosted with separate IAM users
- Scaling Up/Down based on requirements of servers and applications.
- Google Compute Engine Servers are very stable
- Google Compute Engine Firewall is excellent and easy to manage
- All different OS images are available with custom images as well
- Kubernetes Service is very stable and auto-scalable.
- VM are excellent with great performance but some offer on commercials can be good.
- GKE is excellent service but rates are little on higher side.
- Increasing Quota(s) on accounts can be made automatic.
A Robust and Scalable Cloud Infrastructure Solution. Improve Performance and Cost-Effectiveness of Our Applications.
- Scalability. Allows us to scale our resources up or down based on demand.
- Cost efficiency. Offers a pay-as-you-go pricing model.
- Flexibility. Provides a wide range of VM configurations and customization options.
- Top-notch security features. Helps to protect our data and applications.
- Unparalleled customer support.
- Although the cost is effective, for some small business enterprise this might be a big issue because the cost can be a bit higher.
- Implementation and configuration may take time especially for the non-technical users.
Easier Way to Create Client Apps
- Multiple Web Apps Options
- Prebuilt Samples
- Customization
- Documentation For First Time Users
- More Implementation Would be Handy
Google Compute Engine Review
- Runs various operating systems. It also does the patch management of those OS
- Virtual Manager allows management of OS
- Provides high performance block storage
- Provides global load balancing
- Subnetworks are not supported
- Support is quite expensive
- The user interface can be complex for a first time user
Google Compute Engine || Alternate to AWS EC2
Google Compute Engine provides a high level of customization, flexibility, & scalability in contrast to this, storage is also a major role that it plays. Performance and Security are the Real Factors to go for the GCP Compute Engine
- Web and Application Hosting
- High Performance Computing
- Security, One can rely on Security related things if we are preferring Compute Engine.
- Ease of Use
- Pricing
- Configuring Network & Setting up of VPC and all can be Improved.
Highly Available and Cost Effective Cloud Provider
- Scalability and Flexibility - during peak hours or sudden spikes in traffic to our website, GCE automatically provisions additional virtual machine instances to handle the increased load.
- Global Network Infrastructure - we can deploy multi-region architectures with ease, distributing workloads across multiple regions for improved redundancy and performance.
- Advanced Security Features - encryption at rest and in transit, identity and access management (IAM) controls, network firewalls, and distributed denial-of-service (DDoS) protection
- Costing - more visibility over how costing is calculated
- More pre-configured templates like AWS has cloudformation
- Advanced Monitoring Tools are needed
Unsuited - low traffic websites, static websites, legacy applications, small scale web apps
- Easy to scale
- Transparant costs
- Wide range of services
- Feature parity with AWS
- Improved security tools
Google Compute Engine is Amazing!
Currently, we face no problems with this service and everything is working more than fine.
- Running services and applications
- Secure access
- Easy replication and backups
- It is totally easy to use
- Would be nice if prices drop a little bit
With Google Compute Engine instances, you don't need to worry much about machine maintenance and upgrades, and instance monitoring is easy and clear since Google provides cool dashboards to check machine status and notify you about required updates or changes.
It helped us in identifying the key lacking areas/bugs during the initials phases of a product development.
- Networking via VPC (Virtual Private Cloud)
- Big Data Analysis/IoT
- Storage/Databases for Data Transfer
- Machine Learning for cloud based translations
- 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
Machine Learning is a tool which is more efficient than any other provider and has wide range of languages for processing.
High productivity and good ROI with unique services
- 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
- Cost-effective
- Scaling
- Good-looking UI Dashboard
- Documentation
- Networking Configuration
Especially for those use cases where incoming traffic might change a lot in a time period.
Is it less appropriate instead if no high traffic is expected.
Google Cloud Engine - A powerful IAAS solution
- Building products
- Running integration test
- Running accreditations tests
Before every release we set up a production grade deployment using Google Compute Engine and do performance test.
- Running jenkins jobs
- Running performance tests
- Simulate a production environment before each release
- GCE is only available only in three regions, They can add more regions.
- Google can provide pricing model like AWS's reserved instances and spot instances .
- They can improve the UI a bit better, when I get started I found it hard to get familier with the UI.
How Google Compute Engine helped us save money
- Better interface than AWS
- Service has been very reliable
- Excellent security policy structure
- Documentation could be improved
- Sometimes is hard to estimate how much we are going to spend
- Fast
- Great CLI
- Great APIs
- gcloud CLI is very broad
- Billing detail could get more finer grained
There are pros and cons...
- Fast return of files.
- Cost effective.
- Good UI.
- The document security has been an issue.
- Not a lot of customization ability.
- Customer service people weren't very knowledgeable.
S/4 Hana appliance for the internal training and learning purpose in Google cloud platform environment.
- VM Instances
- Storage
- Bare metal solution
- Quota limit for Compute Engine API Persistent Disk SSD
- Quota limit for Compute Engine API A2 CPU
- Quota limit for Compute Engine API N2 CPU
Great for Auto Scaling
- UI
- Integrations
- Billing
- Their UI is a bit clunky
- Overcrowding on hosts
- Locations
Perfect for rapid developments and scalability
- Uptime
- Automated backups
- Strong security posture
- Feature parity with other cloud providers
- Total cost transparency
- Free training
- Auto Scaling
- Flexible Instance Sizes
- Easy to understand pricing model
- More inside the UI advanced capabilities would be nice
- Customer is currently forced to learn the CLI to do advanced functions / scripting
- Stability is just not the same as other cloud providers in our experience.