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Decisions about Google Compute Engine and Google Kubernetes Engine
Stephen Fox
Artificial Intelligence Fellow · | 2 upvotes · 193.3K views
GCE is much more user friendly than EC2, though Amazon has come a very long way since the early days (pre-2010's). This can be seen in how easy it is to edit the storage attached to an instance in GCE: it's under the instance details and is edited inline. In AWS you have to click the instance > click the storage block device (new screen) > click the edit option (new modal) > resize the volume > confirm (new model) then wait a very long time. Google's is nearly instant.
- In both cases, the instance much be shut down.
There also the preference between "user burden-of-security" and automatic security: AWS goes for the former, GCE the latter.
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Learn MorePros of Google Compute Engine
Pros of Google Kubernetes Engine
Pros of Google Compute Engine
- Backed by google87
- Easy to scale79
- High-performance virtual machines75
- Performance57
- Fast and easy provisioning52
- Load balancing15
- Compliance and security12
- Kubernetes9
- GitHub Integration8
- Consistency7
- Free $300 credit (12 months)4
- One Click Setup Options3
- Good documentation3
- Great integration and product support2
- Escort2
- Ease of Use and GitHub support2
- Nice UI1
- Easy Snapshot and Backup feature1
- Integration with mobile notification services1
- Low cost1
- Support many OS1
- Very Reliable1
Pros of Google Kubernetes Engine
- Backed by Google18
- Powered by kubernetes18
- Docker13
- Scalable12
- Open source7
- Command line interface is intuitive3
- Decoupled app3
- Provisioning2
- Declarative management2
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What is Google Compute Engine?
Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
What is Google Kubernetes Engine?
Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.
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Jobs that mention Google Compute Engine and Google Kubernetes Engine as a desired skillset
What companies use Google Compute Engine?
What companies use Google Kubernetes Engine?
What companies use Google Kubernetes Engine?
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What tools integrate with Google Compute Engine?
What tools integrate with Google Kubernetes Engine?
What tools integrate with Google Compute Engine?
What tools integrate with Google Kubernetes Engine?
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What are some alternatives to Google Compute Engine and Google Kubernetes Engine?
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
DigitalOcean
We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.
Google Cloud Platform
It helps you build what's next with secure infrastructure, developer tools, APIs, data analytics and machine learning. It is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Microsoft Azure
Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.