Amazon LightSail vs Google Compute Engine

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Amazon LightSail
Amazon LightSail

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Google Compute Engine
Google Compute Engine

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Amazon LightSail vs Google Compute Engine: What are the differences?

Amazon LightSail: Simple Virtual Private Servers on AWS. Everything you need to jumpstart your project on AWS—compute, storage, and networking—for a low, predictable price. Launch a virtual private server with just a few clicks; Google Compute Engine: Run large-scale workloads on virtual machines hosted on Google's infrastructure. 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.

Amazon LightSail and Google Compute Engine belong to "Cloud Hosting" category of the tech stack.

According to the StackShare community, Google Compute Engine has a broader approval, being mentioned in 592 company stacks & 427 developers stacks; compared to Amazon LightSail, which is listed in 7 company stacks and 7 developer stacks.

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What is Amazon LightSail?

Everything you need to jumpstart your project on AWS—compute, storage, and networking—for a low, predictable price. Launch a virtual private server with just a few clicks.

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.
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Why do developers choose Amazon LightSail?
Why do developers choose Google Compute Engine?

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      What are some alternatives to Amazon LightSail and Google Compute Engine?
      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.
      GoDaddy
      Go Daddy makes registering Domain Names fast, simple, and affordable
      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.
      Linode
      Get a server running in minutes with your choice of Linux distro, resources, and node location.
      Heroku
      Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
      See all alternatives
      Decisions about Amazon LightSail and Google Compute Engine
      Kestas Barzdaitis
      Kestas Barzdaitis
      Entrepreneur & Engineer · | 14 upvotes · 86.5K 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
      Mohamed Labouardy
      Mohamed Labouardy
      Founder at Komiser · | 5 upvotes · 15.9K 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 · 22K 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’m 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
      Paul Whittemore
      Paul Whittemore
      Developer and Owner at Appurist Software · | 4 upvotes · 28K views
      Vultr
      Vultr
      Amazon LightSail
      Amazon LightSail
      Windows
      Windows
      Windows Server
      Windows Server

      For those needing hosting on Windows or Windows Server too (and avoiding licensing hurdles), both Vultr and Amazon LightSail offer compelling choices, depending on how much compute power you need. Don't underestimate Amazon LightSail, especially for smaller or starting projects, but Vultr also offers an incremental $16 Windows option on top of their standard compute offerings.

      See more
      Interest over time
      Reviews of Amazon LightSail and Google Compute Engine
      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

      How developers use Amazon LightSail and Google Compute Engine
      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 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 LightSail cost?
      How much does Google Compute Engine cost?
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