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What is Apache Maven?

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
Apache Maven is a tool in the Java Build Tools category of a tech stack.
Apache Maven is an open source tool with 1.8K GitHub stars and 1.4K GitHub forks. Here’s a link to Apache Maven's open source repository on GitHub

Who uses Apache Maven?

Companies
432 companies reportedly use Apache Maven in their tech stacks, including Zillow, Bodybuilding.com, and Intuit.

Developers
888 developers on StackShare have stated that they use Apache Maven.

Apache Maven Integrations

SonarQube, Buddy, Sonatype Nexus, Flyway, and JitPack are some of the popular tools that integrate with Apache Maven. Here's a list of all 29 tools that integrate with Apache Maven.

Why developers like Apache Maven?

Here’s a list of reasons why companies and developers use Apache Maven
Apache Maven Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Apache Maven in their tech stack.

Ganesa Vijayakumar
Ganesa Vijayakumar
Full Stack Coder | Module Lead · | 15 upvotes · 199.6K views
SonarQube
SonarQube
Codacy
Codacy
Docker
Docker
Git
Git
Apache Maven
Apache Maven
Amazon EC2 Container Service
Amazon EC2 Container Service
Microsoft Azure
Microsoft Azure
Amazon Route 53
Amazon Route 53
Elasticsearch
Elasticsearch
Solr
Solr
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Heroku
Heroku
Hibernate
Hibernate
MySQL
MySQL
Node.js
Node.js
Java
Java
Bootstrap
Bootstrap
jQuery Mobile
jQuery Mobile
jQuery UI
jQuery UI
jQuery
jQuery
JavaScript
JavaScript
React Native
React Native
React Router
React Router
React
React

I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

As per my work experience and knowledge, I have chosen the followings stacks to this mission.

UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

Happy Coding! Suggestions are welcome! :)

Thanks, Ganesa

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Tymoteusz Paul
Tymoteusz Paul
Devops guy at X20X Development LTD · | 11 upvotes · 142.3K views
Amazon EC2
Amazon EC2
LXC
LXC
CircleCI
CircleCI
Docker
Docker
Git
Git
Vault
Vault
Apache Maven
Apache Maven
Slack
Slack
Jenkins
Jenkins
TeamCity
TeamCity
Logstash
Logstash
Kibana
Kibana
Elasticsearch
Elasticsearch
Ansible
Ansible
VirtualBox
VirtualBox
Vagrant
Vagrant

Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

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frido
frido
Gradle
Gradle
Apache Maven
Apache Maven

We use Apache Maven because it is a standard. Gradle is very good alternative, but Gradle doesn't provide any advantage for our project. Gradle is slower (without running daemon), need more resources and a learning curve is quite big. Our project can not use a great flexibility of Gradle. On the other hand, Maven is well-know tool integrated in many IDEs, Dockers and so on.

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Peter Thomas
Peter Thomas
Distinguished Engineer at Intuit · | 7 upvotes · 15.3K views
atIntuitIntuit
Apache Maven
Apache Maven
Java
Java
GitHub
GitHub
Travis CI
Travis CI
Karate DSL
Karate DSL

As the maintainer of the Karate DSL open-source project - I found Travis CI very easy to integrate into the GitHub workflow and it has been steady sailing for more than 2 years now ! It works well for Java / Apache Maven projects and we were able to configure it to use the latest Oracle JDK as per our needs. Thanks to the Travis CI team for this service to the open-source community !

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Flutter
Flutter
Vue.js
Vue.js
Trello
Trello
notion.so
notion.so
Jira
Jira
Apache Maven
Apache Maven
Gradle
Gradle
Travis CI
Travis CI
Jenkins
Jenkins
CircleCI
CircleCI
Webpack
Webpack
Docker
Docker
GitHub
GitHub
Amazon Route 53
Amazon Route 53
Elasticsearch
Elasticsearch
Google Analytics
Google Analytics
Dropwizard
Dropwizard
Spring Boot
Spring Boot
MySQL
MySQL
Kafka
Kafka
RabbitMQ
RabbitMQ
AWS Lambda
AWS Lambda
Amazon S3
Amazon S3
Redis
Redis
Amazon EC2
Amazon EC2
MongoDB
MongoDB
Ubuntu
Ubuntu
nginx
nginx
Node.js
Node.js
JavaScript
JavaScript
Java
Java
Application & Data

Java JavaScript Node.js nginx Ubuntu MongoDB Amazon EC2 Redis Amazon S3 AWS Lambda RabbitMQ Kafka MySQL Spring Boot Dropwizard Vue.js Flutter

Utilities

Google Analytics Elasticsearch Amazon Route 53

DevOps

GitHub Docker Webpack CircleCI Jenkins Travis CI Gradle Apache Maven

Cooperation Tools

Jira notion.so Trello

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Spring Boot
Spring Boot
AngularJS
AngularJS
Apache Maven
Apache Maven
Vault
Vault
GitLab
GitLab
Sonatype Nexus
Sonatype Nexus
SonarQube
SonarQube
OpenShift
OpenShift
Docker
Docker
#DeploymentWorkflow

We use Docker for our #DeploymentWorkflow along with OpenShift SonarQube Sonatype Nexus GitLab Vault Apache Maven AngularJS Spring-Boot

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Apache Maven's Features

  • Simple project setup that follows best practices - get a new project or module started in seconds
  • Consistent usage across all projects means no ramp up time for new developers coming onto a project
  • Superior dependency management including automatic updating, dependency closures (also known as transitive dependencies)
  • Able to easily work with multiple projects at the same time
  • A large and growing repository of libraries and metadata to use out of the box, and arrangements in place with the largest Open Source projects for real-time availability of their latest releases
  • Extensible, with the ability to easily write plugins in Java or scripting languages
  • Instant access to new features with little or no extra configuration
  • Ant tasks for dependency management and deployment outside of Maven

Apache Maven Alternatives & Comparisons

What are some alternatives to Apache Maven?
Jira
Jira's secret sauce is the way it simplifies the complexities of software development into manageable units of work. Jira comes out-of-the-box with everything agile teams need to ship value to customers faster.
Jenkins
In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
Apache Maven
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
Gradle
Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.
CMake
It is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of the user's choice.
See all alternatives

Apache Maven's Followers
840 developers follow Apache Maven to keep up with related blogs and decisions.
msavy
Pariwat Viriyaphan
Ryan Hicks
steort
Srinivas Reddy
Carsten Rose
Serhey Doroshenko
Mujahed Altahleh
Alessandro Pio Ardizio
Wesley Costa