Google Compute Engine聽vs聽Apache Tomcat

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Google Compute Engine
Google Compute Engine

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Apache Tomcat
Apache Tomcat

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Google Compute Engine vs Apache Tomcat: What are the differences?

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; Apache Tomcat: An open source software implementation of the Java Servlet and JavaServer Pages technologies. Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations.

Google Compute Engine can be classified as a tool in the "Cloud Hosting" category, while Apache Tomcat is grouped under "Web Servers".

"Backed by google" is the primary reason why developers consider Google Compute Engine over the competitors, whereas "Easy" was stated as the key factor in picking Apache Tomcat.

Apache Tomcat is an open source tool with 3.44K GitHub stars and 2.36K GitHub forks. Here's a link to Apache Tomcat's open source repository on GitHub.

9GAG, CircleCI, and Evernote are some of the popular companies that use Google Compute Engine, whereas Apache Tomcat is used by ebay, Intuit, and Evernote. Google Compute Engine has a broader approval, being mentioned in 587 company stacks & 414 developers stacks; compared to Apache Tomcat, which is listed in 562 company stacks and 419 developer stacks.

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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 Apache Tomcat?

Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations.
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Why do developers choose Google Compute Engine?
Why do developers choose Apache Tomcat?

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      Jobs that mention Google Compute Engine and Apache Tomcat as a desired skillset
      What companies use Google Compute Engine?
      What companies use Apache Tomcat?

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      What tools integrate with Google Compute Engine?
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      What are some alternatives to Google Compute Engine and Apache Tomcat?
      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.
      See all alternatives
      Decisions about Google Compute Engine and Apache Tomcat
      Kestas Barzdaitis
      Kestas Barzdaitis
      Entrepreneur & Engineer | 12 upvotes 47.6K views
      atCodeFactorCodeFactor
      Google Cloud Functions
      Google Cloud Functions
      Azure Functions
      Azure Functions
      AWS Lambda
      AWS Lambda
      Docker
      Docker
      Google Compute Engine
      Google Compute Engine
      Microsoft Azure
      Microsoft Azure
      Amazon EC2
      Amazon EC2
      CodeFactor.io
      CodeFactor.io
      Kubernetes
      Kubernetes
      #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 9.2K views
      atKomiserKomiser
      GitHub
      GitHub
      Go
      Go
      Microsoft Azure
      Microsoft Azure
      OVH
      OVH
      Amazon Web Services
      Amazon Web Services
      Google Compute Engine
      Google Compute Engine

      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 14.3K views
      atKomiserKomiser
      GitHub
      GitHub
      Microsoft Azure
      Microsoft Azure
      Material Design for Angular
      Material Design for Angular
      Docker
      Docker
      Go
      Go
      Amazon Web Services
      Amazon Web Services
      Google Compute Engine
      Google Compute Engine

      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 Google Compute Engine and Apache Tomcat
      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 Google Compute Engine and Apache Tomcat
      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 Promethean TV
      Promethean TV uses Apache TomcatApache Tomcat

      Apache Tomcat is part of the open source Ant Media Server platform that currently provides both LIVE and VOD video trans-coding and delivery features for the Promethean Platform.

      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 Kingsley Victor
      Kingsley Victor uses Apache TomcatApache Tomcat

      I use Tomcat to run Java enterprise web apps. Used to test enterprise applications mostly written using the Spring framework

      Avatar of Cian 脫 Cuinneag谩in
      Cian 脫 Cuinneag谩in uses Apache TomcatApache Tomcat

      Use this as the application server running on our production and development environment. Hosted on AWS.

      Avatar of The Independent
      The Independent uses Apache TomcatApache Tomcat

      Tomcat provides a fantastic application container that runs the majority of services of the site.

      Avatar of simpleshow GmbH
      simpleshow GmbH uses Apache TomcatApache Tomcat

      Apache Tomcat is being used as our application server for spring-based backend applications.

      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 Google Compute Engine cost?
      How much does Apache Tomcat cost?
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      Pricing unavailable