Solution stack

"Software stack" redirects here. For other uses, see Stack § Computing.

In computing, a solution stack, also called software stack and tech stack is a set of software subsystems or components needed to create a complete platform such that no additional software is needed to support applications.[1] Applications are said to “run on” or “run on top of” the resulting platform.

For example, to develop a web application, the architect defines the stack as the target operating system, web server, database, and programming language. Another version of a software stack is operating system, middleware, database, and applications.[2] Regularly, the components of a software stack are developed by different developers independently of one another.

Some components/subsystems of an overall system are chosen together often enough that the particular set is referred to by a name representing the whole, rather than by naming the parts. Typically, the name is an acronym representing the individual components.[3]

The term “solution stack” has, historically, occasionally included hardware components as part of a final product, mixing both the hardware and software in layers of support.[4][5]

A full-stack developer is expected to be able to work in all the layers of the application (front-end and back-end). A full-stack developer can be defined as a developer or an engineer who works with both the front and back end development of a website, web application or desktop application.[6] This means they can lead platform builds that involve databases, user-facing websites, and working with clients during the planning phase of projects.

JavaScript stacks

[edit]
Main article: JavaScript stack

A JavaScript stack is a collection of technologies that use JavaScript as a primary programming language across the entire software development process, typically combining front-end and back-end tools to build full-scale web applications. With the rise of Node.js, JavaScript can now be executed server-side, allowing developers to use a single language for both client and server development. This unification simplifies the development workflow, improves code reuse, and enhances productivity by enabling consistent logic and tooling across the application. JavaScript stacks are often favored for their speed, scalability, and access to a vast ecosystem of libraries and frameworks available through platforms like npm. The increasing popularity of these stacks reflects a broader shift toward full-stack JavaScript development in modern web engineering.[7][8][9][10]

OS-level stacks

[edit]
MLVN[11]
MongoDB (database)
Linux (operating system)
Varnish (software) (frontend cache)
Node.js (JavaScript runtime)
WISAV/WIPAV
Windows Server (operating system)
Internet Information Services (web server)
Microsoft SQL Server/PostgreSQL (database)
ASP.NET (backend web framework)
Vue.js (frontend web framework)

OS-agnostic web stacks

[edit]
GRANDstack[12]
GraphQL (data query and manipulation language)
React (web application presentation)
Apollo (Data Graph Platform)
Neo4j (database management systems)
JAMstack[13]
JavaScript (programming language)
APIs (Application programming interfaces)
Markup (content)
MEAN[14]
MongoDB (database)
Express.js (application controller layer)
AngularJS/Angular (web application presentation)
Node.js (JavaScript runtime)
MERN[15]
MongoDB (database)
Express.js (application controller layer)
React.js (web application presentation)
Node.js (JavaScript runtime)
MEVN[16]
MongoDB (database)
Express.js (application controller layer)
Vue.js (web application presentation)
Node.js (JavaScript runtime)
PERN[17]
PostgreSQL (database)
Express.js (application controller layer)
React (JavaScript library) (web application presentation)
Node.js (JavaScript runtime)
T-REx[18]
TerminusDB (scalable graph database)
React (JavaScript web framework)
Express.js (framework for Node.js)

Specific framework stacks

[edit]

Java-Spring stack

[edit]

The Java-Spring stack is a robust and enterprise-grade technology stack built around the Java programming language and the Spring ecosystem. At its core is the Spring Framework, which provides a comprehensive programming and configuration model for modern Java applications. This stack often includes Spring Boot, a project that simplifies Spring application setup with convention-over-configuration, embedded servers, and production-ready defaults. Additional components such as Spring MVC, Spring Data, and Spring Security are commonly used for building web applications, accessing databases, and implementing authentication and authorization. The Java-Spring stack is frequently paired with relational databases like MySQL or PostgreSQL and typically deployed using servlet containers like Apache Tomcat or platforms such as Spring Cloud for microservices architecture. Known for its scalability, modularity, and long-term stability, the Java-Spring stack is widely adopted in enterprise environments, particularly in finance, telecommunications, and large-scale SaaS platforms.[19][20][21]

Python-Django stack

[edit]

The Python-Django stack utilizes Python as the primary programming language and Django as the web framework. Django is designed to encourage clean, pragmatic design and follows the DRY (Don't Repeat Yourself) principle. It includes a wide array of built-in features, such as user authentication, an admin interface, form handling, and a powerful ORM. These built-in tools make Django especially effective for content-driven or database-heavy web applications. The stack often pairs Django with PostgreSQL or SQLite as a database and runs on web servers like Gunicorn behind Nginx. Because of Python's readability and Django's comprehensive documentation, this stack is widely used in educational platforms, scientific applications, and content management systems.[22][23]

Ruby on Rails stack

[edit]

The Ruby on Rails stack is built around the Ruby programming language and the Rails web framework. It emphasizes the principle of convention over configuration, which allows developers to build applications quickly by reducing the need for boilerplate code and manual setup. Ruby on Rails comes with an integrated set of tools, such as an object-relational mapping (ORM) system, scaffolding for code generation, and a structured directory layout, making it well-suited for rapid application development. Its focus on simplicity and developer happiness has made it a popular choice among startups and small teams. The stack typically includes a PostgreSQL or MySQL database, a web server like Puma or Nginx, and deployment tools such as Capistrano or Heroku.[24][25]

Other stacks

[edit]

OS-level stacks

[edit]
BCHS[26]
OpenBSD (operating system)
C (programming language)
httpd (web server)
SQLite (database)
Ganeti[27]
Xen or KVM (hypervisor)
Linux with LVM (mass-storage device management)
Distributed Replicated Block Device (storage replication)
Ganeti (virtual machine cluster management tool)
Ganeti Web Manager (web interface)
GLASS[28]
GemStone (database and application server)
Linux (operating system)
Apache (web server)
Smalltalk (programming language)
Seaside (web framework)
LAMP[14]
Linux (operating system)
Apache (web server)
MySQL or MariaDB (database management systems)
Perl, PHP, or Python (scripting languages)
LEAP[29]
Linux (operating system)
Eucalyptus (free and open-source alternative to the Amazon Elastic Compute Cloud)
AppScale (cloud computing-framework and free and open-source alternative to Google App Engine)
Python (programming language)
LEMP/LNMP[30]
Linux (operating system)
Nginx (web server)
MySQL or MariaDB (database management systems)
Perl, PHP, or Python (scripting languages)
LLMP[31]
Linux (operating system)
Lighttpd (web server)
MySQL or MariaDB (database management systems)
Perl, PHP, or Python (scripting languages)
LYME and LYCE[32]
Linux (operating system)
Yaws (web server, written in Erlang)
Mnesia or CouchDB (database, written in Erlang)
Erlang (functional programming language)
MAMP[33]
Mac OS X (operating system)
Apache (web server)
MySQL or MariaDB (database)
PHP, Perl, or Python (programming languages)
LAPP[34]
Linux (operating system)
Apache (web server)
PostgreSQL (database management systems)
Perl, PHP, or Python (scripting languages)
WAMP[35]
Windows (operating system)
Apache (web server)
MySQL or MariaDB (database)
PHP, Perl, or Python (programming language)
WIMP[36]
Windows (operating system)
Internet Information Services (web server)
MySQL or MariaDB (database)
PHP, Perl, or Python (programming language)
WINS[37]
Windows Server (operating system)
Internet Information Services (web server)
.NET (software framework)
SQL Server (database)
WISA[38]
Windows Server (operating system)
Internet Information Services (web server)
SQL Server (database)
ASP.NET (web framework)

OS-agnostic web stacks

[edit]
ELK[39]
Elasticsearch (search engine)
Logstash (event and log management tool)
Kibana (data visualization)
MARQS[14]
Apache Mesos (node startup/shutdown)
Akka (toolkit) (actor implementation)
Riak (data store)
Apache Kafka (messaging)
Apache Spark (big data and MapReduce)
NMP[40]
Nginx (web server)
MySQL or MariaDB (database)
PHP (programming language)
OpenACS[41]
NaviServer (web server)
OpenACS (web application framework)
PostgreSQL or Oracle Database (database)
Tcl (scripting language)
PLONK
Prometheus (metrics and time-series)
Linkerd (service mesh)
OpenFaaS (management and auto-scaling of compute)
NATS (asynchronous message bus/queue)
Kubernetes (declarative, extensible, scale-out, self-healing clustering)
SMACK[14]
Apache Spark (big data and MapReduce)
Apache Mesos (node startup/shutdown)
Akka (toolkit) (actor implementation)
Apache Cassandra (database)
Apache Kafka (messaging)
XAMPP[42]
cross-platform (operating system)
Apache (web server)
MariaDB or MySQL (database)
PHP (programming language)
Perl (programming language)
XRX[43]
XML database (database such as BaseX, eXist, MarkLogic Server)
XQuery (Query language)
REST (client interface)
XForms (client)

See also

[edit]
Look up stack in Wiktionary, the free dictionary.

References

[edit]
  1. ^ "Solution stack". Computer Desktop Encyclopedia. The Computer Language Company. 2015. Retrieved 5 July 2018.
  2. ^ Mimoso, Michael S. (24 February 2003). "Red Hat: Linux served at vertical data center dinner tables". SearchEnterpriseLinux.com. Retrieved 2009-08-09.
  3. ^ Beal, V. (7 September 2007). "Acronym Guide to Web Stacks". Webopedia. Quinstreet, Inc. Retrieved 5 July 2018.
  4. ^ Ferguson, R. (2002). Using Microsoft SharePoint Portal Server. Que Publishing. p. 616. ISBN 9780789725707.
  5. ^ Anderson, G.W. (2003). SAP Planning: Best Practices in Implementation. Sams. p. 13. ISBN 9780789728753.
  6. ^ Amir, Masroor. "Full Stack Developer - Complete Roadmap | Technologies in 2023". The Geeks Bot | A Computer Science Site for geeks. Retrieved 2023-04-27.
  7. ^ Tilkov, Stefan, and Steve Vinoski. "Node.js: Using JavaScript to Build High-Performance Network Programs." IEEE Internet Computing, vol. 14, no. 6, 2010, pp. 80–83. DOI: 10.1109/MIC.2010.145
  8. ^ Pimentel, Jon. Full-Stack React Projects. Packt Publishing, 2018.
  9. ^ "Node.js — About Node.js®". nodejs.org. Retrieved 2025-06-18.
  10. ^ bin Uzayr, Sufyan (2023-08-09), "JavaScript for Mobile Usage", Conquering JavaScript, Boca Raton: CRC Press, pp. 371–402, ISBN 978-1-003-35657-8, retrieved 2025-06-18
  11. ^ Sharma, A. (2018). "Chapter 2: Introducing MEVN". Full-Stack Web Development with Vue.js and Node. Packt Publishing Ltd. pp. 6–30. ISBN 9781788830775.
  12. ^ "GRANDStack". Retrieved 24 Dec 2019.
  13. ^ "JAMstack". Retrieved 5 July 2018.
  14. ^ a b c d Frampton, M. (2018). Complete Guide to Open Source Big Data Stack. Apress. p. 7. ISBN 9781484221495.
  15. ^ Wilson, E. (2018). "Chapter 1: Introduction to the MERN Stack". MERN Quick Start Guide. Packt Publishing Ltd. pp. 7–13. ISBN 9781787280045.
  16. ^ Sharma, A. (2018). "Chapter 1: Introducing MEVN". Full-Stack Web Development with Vue.js and Node. Packt Publishing Ltd. pp. 6–30. ISBN 9781788830775.
  17. ^ "Learn the PERN Stack by building a web app - Full video course". freeCodeCamp.org. 2020-03-20. Retrieved 2021-06-19.
  18. ^ "TerminusDB on Twitter". Twitter. Retrieved 2020-10-14.
  19. ^ Walls, Craig. Spring in Action. Manning Publications, 2022.
  20. ^ Deinum, Marten; Cosmina, Iuliana (2021), "Spring Framework Fundamentals", Pro Spring MVC with WebFlux, Berkeley, CA: Apress, pp. 21–54, ISBN 978-1-4842-5665-7, retrieved 2025-06-18
  21. ^ Gutierrez, Felipe (2016), "Spring with Spring Boot", Pro Spring Boot, Berkeley, CA: Apress, pp. 89–105, ISBN 978-1-4842-1432-9, retrieved 2025-06-18
  22. ^ Holovaty, Adrian, and Jacob Kaplan-Moss. The Django Book. Version 2.0.
  23. ^ "Django". Django Project. Retrieved 2025-06-18.
  24. ^ Hinze, Annika (July 2008). "Review of "RailsSpace: Building a Social Networking Website with Ruby on Rails (Addison-Wesley Professional Ruby Series) by Michael Hartl, Aurelius Prochazka", Addison-Wesley Professional, 2007, $44.99, ISBN 0321480791". Queue. 6 (4): 53–53. doi:10.1145/1413254.1413266. ISSN 1542-7730.
  25. ^ "Ruby on Rails Guides". Ruby on Rails Guides. Retrieved 2025-06-18.
  26. ^ Dzonsons, K. "BCHS Stack". Retrieved 5 July 2018.
  27. ^ "Ganeti installation tutorial". Ganeti Documentation. Google, Inc. Retrieved 5 July 2018.
  28. ^ Glynn, A. (3 June 2015). "A Beginners' Guide to Installing and Configuring GLASS: Gemstone 64/S Smalltalk / Seaside / Application Server / Object Database Server Environment". Horizons of Identity. Retrieved 5 July 2018.
  29. ^ Kaisler, S.H.; Amour, F.; Espinosa, A.; Money, W.H. (2015). Obtaining Value from Big Data for Service Delivery. Business Expert Press. p. PT69. ISBN 9781631572234.
  30. ^ "LEMP Stack Info". LEMP.io. Retrieved 6 July 2018.
  31. ^ Johnston, C. (18 February 2009). "Setting up a LLMP Stack (Linux, Lighttpd, MySQL, PHP5) on Ubuntu 8.10". ChrisJohnston.org. Archived from the original on 5 February 2019. Retrieved 6 July 2018.
  32. ^ "Solution Stack". Idiosyncratic Knowledge. 9 July 2016. Retrieved 9 July 2016.
  33. ^ Coucouvanis, N. (2007). "Get Your Wiki On". Mac Life (5): 83–86. Retrieved 6 July 2018.
  34. ^ Rittinghouse, J.W.; Ransome, J.F. (2017). Cloud Computing: Implementation, Management, and Security. CRC Press. p. PT184. ISBN 9781351615365.
  35. ^ "WAMP". Softaculous Ltd. Retrieved 6 July 2018.
  36. ^ "Tutorial: Installing a WIMP Server on an Amazon EC2 Instance Running Windows Server". AWS Documentation. Amazon Web Services, Inc. Retrieved 6 July 2018.
  37. ^ Evgen (28 January 2018). "How to Choose Your Technology Stack for Web Development". GBKSOFT Blog. GBKSOFT Dev LLC. Retrieved 6 July 2018.
  38. ^ Sachdeva, B. (27 May 2009). "Which Web Application Stack Is Best for Me?". developer.com. QuinStreet, Inc. Retrieved 6 July 2018.
  39. ^ Chhajed, S. (2015). "Chapter 1: Introduction to ELK Stack". Learning ELK Stack. Packt Publishing Ltd. pp. 1–22. ISBN 9781785886706.
  40. ^ Luna, F. (2017). Programador Web Full Stack: Desarrollo frontend y backend. RedUSERS. pp. 17–18.
  41. ^ "OpenACS: What it is and why to use it". OpenACS.org. OpenACS Community. Retrieved 6 July 2018.
  42. ^ "XAMPP Apache + MariaDB + PHP + Perl". Apache Friends. Retrieved 6 July 2018.
  43. ^ McCreary, D. "XRX". danmccreary.com. Retrieved 6 July 2018.
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