Apache Tomcat vs Google Compute Engine

Overview

Google Compute Engine

Stacks12.4K

Followers9.2K

Votes423

Apache Tomcat

Stacks16.9K

Followers12.6K

Votes201

GitHub Stars8.0K

Forks5.3K

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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Advice on Google Compute Engine, Apache Tomcat

Hari

Mar 3, 2020

Needs advice

I was in a situation where I have to configure 40 RHEL servers 20 each for Apache HTTP Server and Tomcat server. My task was to

configure LVM with required logical volumes, format and mount for HTTP and Tomcat servers accordingly.
Install apache and tomcat.
Generate and apply selfsigned certs to http server.
Modify default ports on Tomcat to different ports.
Create users on RHEL for application support team.
other administrative tasks like, start, stop and restart HTTP and Tomcat services.

I have utilized the power of ansible for all these tasks, which made it easy and manageable.

419k views419k

Comments

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.

203k views203k

Comments

Detailed Comparison

Google Compute Engine	Apache Tomcat
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 powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations.
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.	-
Statistics
GitHub Stars -	GitHub Stars 8.0K
GitHub Forks -	GitHub Forks 5.3K
Stacks 12.4K	Stacks 16.9K
Followers 9.2K	Followers 12.6K
Votes 423	Votes 201
Pros & Cons
Pros 87 Backed by google 79 Easy to scale 75 High-performance virtual machines 57 Performance 52 Fast and easy provisioning	Pros 79 Easy 72 Java 49 Popular 1 Spring web Cons 3 Blocking - each http request block a thread 2 Easy to set up
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, Apache Tomcat?

NGINX

nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.

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.

Apache HTTP Server

The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet.

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.

Unicorn

Unicorn is an HTTP server for Rack applications designed to only serve fast clients on low-latency, high-bandwidth connections and take advantage of features in Unix/Unix-like kernels. Slow clients should only be served by placing a reverse proxy capable of fully buffering both the the request and response in between Unicorn and slow clients.

Microsoft IIS

Internet Information Services (IIS) for Windows Server is a flexible, secure and manageable Web server for hosting anything on the Web. From media streaming to web applications, IIS's scalable and open architecture is ready to handle the most demanding tasks.

Scaleway

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

Passenger

Phusion Passenger is a web server and application server, designed to be fast, robust and lightweight. It takes a lot of complexity out of deploying web apps, adds powerful enterprise-grade features that are useful in production, and makes administration much easier and less complex.

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

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.