Amazon EC2聽vs聽Google Compute Engine聽vs聽Microsoft Azure

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Amazon EC2
Amazon EC2

18.5K
11.9K
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2.5K
Google Compute Engine
Google Compute Engine

3.9K
2.8K
+ 1
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Microsoft Azure
Microsoft Azure

8K
3.6K
+ 1
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What is 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.

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 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.
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Why do developers choose Amazon EC2?
Why do developers choose Google Compute Engine?
Why do developers choose Microsoft Azure?

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    What companies use Amazon EC2?
    What companies use Google Compute Engine?
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    What tools integrate with Amazon EC2?
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    What are some alternatives to Amazon EC2, Google Compute Engine, and Microsoft Azure?
    Amazon LightSail
    Everything you need to jumpstart your project on AWS鈥攃ompute, storage, and networking鈥攆or a low, predictable price. Launch a virtual private server with just a few clicks.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    Amazon EC2 Container Service
    Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
    Beanstalk
    A single process to commit code, review with the team, and deploy the final result to your customers.
    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.
    See all alternatives
    Decisions about Amazon EC2, Google Compute Engine, and Microsoft Azure
    Kestas Barzdaitis
    Kestas Barzdaitis
    Entrepreneur & Engineer | 14 upvotes 170.9K views
    atCodeFactorCodeFactor
    Kubernetes
    Kubernetes
    CodeFactor.io
    CodeFactor.io
    Amazon EC2
    Amazon EC2
    Microsoft Azure
    Microsoft Azure
    Google Compute Engine
    Google Compute Engine
    Docker
    Docker
    AWS Lambda
    AWS Lambda
    Azure Functions
    Azure Functions
    Google Cloud Functions
    Google Cloud Functions
    #SAAS
    #IAAS
    #Containerization
    #Autoscale
    #Startup
    #Automation
    #Machinelearning
    #AI
    #Devops

    CodeFactor being a #SAAS product, our goal was to run on a cloud-native infrastructure since day one. We wanted to stay product focused, rather than having to work on the infrastructure that supports the application. We needed a cloud-hosting provider that would be reliable, economical and most efficient for our product.

    CodeFactor.io aims to provide an automated and frictionless code review service for software developers. That requires agility, instant provisioning, autoscaling, security, availability and compliance management features. We looked at the top three #IAAS providers that take up the majority of market share: Amazon's Amazon EC2 , Microsoft's Microsoft Azure, and Google Compute Engine.

    AWS has been available since 2006 and has developed the most extensive services ant tools variety at a massive scale. Azure and GCP are about half the AWS age, but also satisfied our technical requirements.

    It is worth noting that even though all three providers support Docker containerization services, GCP has the most robust offering due to their investments in Kubernetes. Also, if you are a Microsoft shop, and develop in .NET - Visual Studio Azure shines at integration there and all your existing .NET code works seamlessly on Azure. All three providers have serverless computing offerings (AWS Lambda, Azure Functions, and Google Cloud Functions). Additionally, all three providers have machine learning tools, but GCP appears to be the most developer-friendly, intuitive and complete when it comes to #Machinelearning and #AI.

    The prices between providers are competitive across the board. For our requirements, AWS would have been the most expensive, GCP the least expensive and Azure was in the middle. Plus, if you #Autoscale frequently with large deltas, note that Azure and GCP have per minute billing, where AWS bills you per hour. We also applied for the #Startup programs with all three providers, and this is where Azure shined. While AWS and GCP for startups would have covered us for about one year of infrastructure costs, Azure Sponsorship would cover about two years of CodeFactor's hosting costs. Moreover, Azure Team was terrific - I felt that they wanted to work with us where for AWS and GCP we were just another startup.

    In summary, we were leaning towards GCP. GCP's advantages in containerization, automation toolset, #Devops mindset, and pricing were the driving factors there. Nevertheless, we could not say no to Azure's financial incentives and a strong sense of partnership and support throughout the process.

    Bottom line is, IAAS offerings with AWS, Azure, and GCP are evolving fast. At CodeFactor, we aim to be platform agnostic where it is practical and retain the flexibility to cherry-pick the best products across providers.

    See more
    Omar Mehilba
    Omar Mehilba
    Co-Founder and COO at Magalix | 17 upvotes 101.8K views
    atMagalixMagalix
    Kubernetes
    Kubernetes
    Microsoft Azure
    Microsoft Azure
    Google Kubernetes Engine
    Google Kubernetes Engine
    Amazon EC2
    Amazon EC2
    Go
    Go
    Python
    Python
    #Autopilot

    We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser | 5 upvotes 30.5K views
    atKomiserKomiser
    Google Compute Engine
    Google Compute Engine
    Amazon Web Services
    Amazon Web Services
    OVH
    OVH
    Microsoft Azure
    Microsoft Azure
    Go
    Go
    GitHub
    GitHub

    Google Compute Engine Amazon Web Services OVH Microsoft Azure Go GitHub

    Last week, we released a fresh new release of Komiser with support of multiple AWS accounts. Komiser support multiple AWS accounts through named profiles that are stored in the credentials files.

    You can now analyze and identify potential cost savings on unlimited AWS environments (Production, Staging, Sandbox, etc) on one single dashboard.

    Read the full story in the blog post.

    See more
    Mohamed Labouardy
    Mohamed Labouardy
    Founder at Komiser | 5 upvotes 37.7K views
    atKomiserKomiser
    Google Compute Engine
    Google Compute Engine
    Amazon Web Services
    Amazon Web Services
    Go
    Go
    Docker
    Docker
    Material Design for Angular
    Material Design for Angular
    Microsoft Azure
    Microsoft Azure
    GitHub
    GitHub

    Google Compute Engine Amazon Web Services Go Docker Material Design for Angular Microsoft Azure GitHub I鈥檓 super excited to annonce the release of Komiser:2.1.0 with beta support of Google Cloud Platform. You can now use one single open source tool to detect both AWS and GCP overspending.

    Komiser allows you to analyze and manage #cloud cost, usage, #security, and governance in one place. Hence, detecting potential vulnerabilities that could put your cloud environment at risk.

    It allows you also to control your usage and create visibility across all used services to achieve maximum cost-effectiveness and get a deep understanding of how you spend on the #AWS, #GCP and #Azure.

    See more
    Interest over time
    Reviews of Amazon EC2, Google Compute Engine, and Microsoft Azure
    Review ofAmazon EC2Amazon EC2

    A VPS gives the full access that I need, because most of what I do has complex integrations and there is plenty of legacy - very stable, highly tuned code developed over two decades - that I carry with me. My use is also limited to during development, so there is no point going for a full server.

    Amazon EC2 is a VPS, except it is cheaper.

    Additionally, I used to previously take the code developed on my VPS and deploy it to whatever server the client brought.

    With Amazon EC2 the deployment is already done. All that remains it to scale up, add other products like dns, mail, storage and so on, and change the billing so that the client gets invoiced. That makes the process that much more predictable and seamless, and the end result much more stable.

    Avatar of IanEdington
    Business Analyst
    Review ofMicrosoft AzureMicrosoft Azure

    Windows Azure is more difficult to configure than some other cloud based technologies, however, it makes up for it with the incredible integrations and ease of development on mobile platforms (Android, iOS and of course Windows Phone).

    The Azure Web Sites is a PaaS that is very easy to setup and is pretty powerful.

    If you want VMs you can have them and even program when they come online.

    There are tons of ways to use this service and there are a lot of free things you can get in order to try it out. The only downside is that you have to learn a new, although very powerful, platform.

    Review ofGoogle Compute EngineGoogle Compute Engine
    • I use Google Compute Engine instances as flexible, reproducible infrastructure that scale with my data science tasks.

    • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.

    • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome

    Review ofAmazon EC2Amazon EC2

    Just started using EC2 myself, but it was the platform used by my previous employer, as well. They are getting easier to use, dashboard improvements over time were well done. Responded fast to outages. They offer a limited free tier which is perfect for my current project, allowing me time to build it to the point where I will need a paid solution. Overall, I'm liking it so far.

    How developers use Amazon EC2, Google Compute Engine, and Microsoft Azure
    Avatar of imgur
    imgur uses Amazon EC2Amazon EC2

    About a year and a half ago (written June 2013) we moved from dedicated servers over to AWS. Thanks to AWS, we no longer have to think on a server level. Instead, we think of everything as a cluster of instances, and an instance is essentially a virtual server where we don鈥檛 have to worry about the hardware. It鈥檚 a relief to not have to worry about the hardware behind the instances.

    The clusters we have are: WWW, API, Upload, HAProxy, HBase, MySQL, Memcached, Redis, and ElasticSearch, for an average total of 80 instances. Each cluster handles the job that its name describes, all working together for the common goal of giving you your daily (hourly?) dose of image entertainment.

    Below is a diagram of how they all work together:

    http://i.imgur.com/GiBQsmf.png

    Avatar of Samuel Harrold
    Samuel Harrold uses Google Compute EngineGoogle Compute Engine
    • I use Google Compute Engine instances as flexible, reproducible infrastructure that scales with my data science tasks.
    • Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.
    • Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome
    Avatar of MOKA Analytics
    MOKA Analytics uses Microsoft AzureMicrosoft Azure

    We use Microsoft Azure because many of our clients are already Azure for their private cloud. Additionally, Azure supports App Service Environments (ASE), which isolates the application resources and gives us a static IP for securely accessing external resources

    Additionally, MSSQL supports columnstore tables which is critical for running fast analytics over large datasets

    Avatar of Instacart
    Instacart uses Amazon EC2Amazon EC2

    We liked a lot of things about Heroku. We loved the build packs, and we still in fact use Heroku build packs, but we were frustrated by lack of control about a lot of things. It鈥檚 nice to own the complete stack, or rather as far down as AWS goes. It gave us a lot of flexibility and functionality that we didn鈥檛 have before. We use a lot of Amazon technology.

    Avatar of Volkan 脰z莽elik
    Volkan 脰z莽elik uses Amazon EC2Amazon EC2

    I like containers and all, but for zerotoherojs.com I am a one-man band, who also works full time. I don鈥檛 have any (dev)ops budget, and therefore I need the reliability and uptime of an actual virtual machine.

    That鈥檚 where AWS EC2 comes in handy.

    Avatar of jasonmjohnson
    jasonmjohnson uses Amazon EC2Amazon EC2

    Docker containers will be hosted and run on a single Amazon EC2 instance. This will likely be the t2.small or t2.medium instance type as listed here: https://aws.amazon.com/ec2/instance-types/

    Avatar of Jeff Flynn
    Jeff Flynn uses Amazon EC2Amazon EC2

    Because servers. Lots of them. Lots of configurations. Great for mission-specific functions. Video encoding, data aggregation, dedicated processing, mission-critical data stores. Anything you can't hang off your Heroku environment.

    Avatar of Daniel Kovacs
    Daniel Kovacs uses Microsoft AzureMicrosoft Azure

    My favourite cloud with all the great tools - web apps, mobile apps, storages, easy tables, blobs, app insights, cosmos DB... I think it is really usable and ergonomic. Plus point for mobile app.

    Avatar of PSESD
    PSESD uses Microsoft AzureMicrosoft Azure

    We currently host PRS and EARS on Azure as they are .Net apps, but we are currently porting these services to Scala and will be hosting them on Heroku with the other P2 SRX services.

    Avatar of Onezino Gabriel
    Onezino Gabriel uses Microsoft AzureMicrosoft Azure

    Servi莽o utilizado para deploy de toda a infraestrutura do projeto. Colocamos todas as pe莽as do servi莽o no azure, garantindo uma forma r谩pida e garantia de escalibilidade.

    Avatar of Sean Long
    Sean Long uses Microsoft AzureMicrosoft Azure

    Blackbaud makes use of Azure and my current job is with Blackbaud. Therefore, due to the free credit and the ability to reuse tools, I rely on Azure quite a bit.

    Avatar of Casey Smith
    Casey Smith uses Google Compute EngineGoogle Compute Engine

    Infrastructure for Google App Engine, Google Cloud Endpoints, Memcached, and Google Cloud SQL components, as well as Git repository and Jenkins CI server.

    Avatar of BitBank
    BitBank uses Google Compute EngineGoogle Compute Engine

    Compute engine is used to run our live forecaster and cron jobs

    Avatar of Jonathan Fries
    Jonathan Fries uses Google Compute EngineGoogle Compute Engine

    Ghost runs on a VM from Google Compute Engine.

    Avatar of Partners in School Innovation
    Partners in School Innovation uses Google Compute EngineGoogle Compute Engine

    Hosting our Bitnami PSQL instance

    How much does Amazon EC2 cost?
    How much does Google Compute Engine cost?
    How much does Microsoft Azure cost?
    Pricing unavailable