ArvanCloud Cloud Computing Service vs Google Compute Engine

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

ArvanCloud Cloud Computing Service

Stacks1

Followers1

Votes0

ArvanCloud Cloud Computing Service vs Google Compute Engine: What are the differences?

### Introduction
Here are the key differences between ArvanCloud Cloud Computing Service and Google Compute Engine:

1. **Pricing model**: ArvanCloud offers a pay-as-you-go pricing model, allowing customers to only pay for the resources they use, while Google Compute Engine provides both on-demand and sustained use discounts, giving users flexibility in pricing options.
2. **Features and offerings**: ArvanCloud focuses on edge computing services with a network of data centers closer to end-users, optimizing performance and latency, whereas Google Compute Engine offers a wider range of services including virtual machines, storage options, and networking capabilities.
3. **Managed services**: Google Compute Engine provides various managed services and tools like Kubernetes Engine, Dataflow, and BigQuery, enabling users to easily deploy and manage applications, whereas ArvanCloud may have limited managed service offerings.
4. **Global presence**: Google Compute Engine has a larger global presence with data centers in multiple continents, providing users with greater geographic coverage, while ArvanCloud may have a more localized presence.
5. **Service level agreements (SLAs)**: Google Compute Engine offers SLAs for uptime and support response times, giving users assurances on service availability and reliability, whereas ArvanCloud's SLAs may vary and have different guarantees.
6. **Ecosystem and integration**: Google Compute Engine integrates seamlessly with other Google Cloud Platform services like Google Cloud Storage and Bigtable, creating a cohesive cloud ecosystem, while ArvanCloud's integration capabilities may be limited to its own services.

In Summary, ArvanCloud and Google Compute Engine differ in pricing model, features, managed services, global presence, SLAs, and ecosystem integration.

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Advice on Google Compute Engine, ArvanCloud Cloud Computing Service

Stephen

Artificial Intelligence Fellow

Feb 4, 2020

Decided

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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Detailed Comparison

Google Compute Engine	ArvanCloud Cloud Computing Service
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.	It offers a cloud infrastructure, including cloud servers, switches, routers, and cloud-based firewalls.It enables you to resize your required resources. You may require more reliable infrastructures to fulfill the user's requests on your website. You can increase your Cloud Computing resources with a few simple clicks. You can pay based on your usage, even for a couple of hours or days, and then revert your infrastructure to its first mode.
High-performance virtual machines- Compute Engine’s Linux VMs are consistently performant, scalable, highly secure and reliable. Supported distros include Debian and CentOS. You can choose from micro-VMs to large instances.;Powered by Google’s global network- Create large compute clusters that benefit from strong and consistent cross-machine bandwidth. Connect to machines in other data centers and to other Google services using Google’s private global fiber network.;(Really) Pay for what you use- Google bills in minute-level increments (with a 10-minute minimum charge), so you don’t pay for unused computing time.;Load balancing- Native load-balancing technology helps you spread incoming network traffic across a pool of instances, so you can achieve maximum performance, throughput and availability at low cost.;Fast and easy provisioning- Quickly deploy large clusters of virtual machines with intuitive tools including a RESTful API, command-line interface and web-based Console. You can also use tools such as RightScale and Scalr to automatically manage your deployment.;Compliance and security- All data written to disk in Compute Engine is encrypted at rest using the AES-128-CBC algorithm. Compute Engine has completed ISO 27001, SSAE-16, SOC 1, SOC 2, and SOC 3 certifications, demonstrating our commitment to information security.	Take a snapshot of your server's current status, enabling you to revert the server to one of the earlier snapshots; Monitoring; Firewall; Floating IP
Statistics
Stacks 12.4K	Stacks 1
Followers 9.2K	Followers 1
Votes 423	Votes 0
Pros & Cons
Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning	No community feedback yet
Integrations
RightScale Qubole Scalr Boundary Red Hat Codeready Workspaces Kinvey New Relic Twilio SendGrid Zencoder	No integrations available

What are some alternatives to Google Compute Engine, ArvanCloud Cloud Computing Service?

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.

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.

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

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.

Gandi

Gandi VPS Cloud Hosting offers you a flexible server with dedicated resources. The VPS virtualization is made possible by Xen technology.

WebFaction

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Joyent Cloud

Joyent is the high-performance cloud infrastructure company, offering the only solution specifically built to power real-time web and mobile applications.

Related Comparisons

ArvanCloud Cloud Computing Service vs Google Compute Engine: What are the differences?

### Introduction
Here are the key differences between ArvanCloud Cloud Computing Service and Google Compute Engine:

1. **Pricing model**: ArvanCloud offers a pay-as-you-go pricing model, allowing customers to only pay for the resources they use, while Google Compute Engine provides both on-demand and sustained use discounts, giving users flexibility in pricing options.
2. **Features and offerings**: ArvanCloud focuses on edge computing services with a network of data centers closer to end-users, optimizing performance and latency, whereas Google Compute Engine offers a wider range of services including virtual machines, storage options, and networking capabilities.
3. **Managed services**: Google Compute Engine provides various managed services and tools like Kubernetes Engine, Dataflow, and BigQuery, enabling users to easily deploy and manage applications, whereas ArvanCloud may have limited managed service offerings.
4. **Global presence**: Google Compute Engine has a larger global presence with data centers in multiple continents, providing users with greater geographic coverage, while ArvanCloud may have a more localized presence.
5. **Service level agreements (SLAs)**: Google Compute Engine offers SLAs for uptime and support response times, giving users assurances on service availability and reliability, whereas ArvanCloud's SLAs may vary and have different guarantees.
6. **Ecosystem and integration**: Google Compute Engine integrates seamlessly with other Google Cloud Platform services like Google Cloud Storage and Bigtable, creating a cohesive cloud ecosystem, while ArvanCloud's integration capabilities may be limited to its own services.

In Summary, ArvanCloud and Google Compute Engine differ in pricing model, features, managed services, global presence, SLAs, and ecosystem integration.

ArvanCloud Cloud Computing Service vs Google Compute Engine

Overview