StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Frameworks
  5. Spring Cloud vs k3s

Spring Cloud vs k3s

OverviewComparisonAlternatives

Overview

Spring Cloud
Spring Cloud
Stacks1.6K
Followers753
Votes0
k3s
k3s
Stacks97
Followers252
Votes16

Spring Cloud vs k3s: What are the differences?

Introduction

In this article, we will explore the key differences between Spring Cloud and k3s. Both Spring Cloud and k3s are popular frameworks used in development and deployment of cloud-native applications. However, they differ in several aspects that are crucial to consider when choosing the right framework for your project.

  1. Architecture: Spring Cloud is based on the Java programming language and utilizes the Spring Framework. It provides a wide range of ready-to-use modules and components for building distributed systems. On the other hand, k3s is a lightweight, certified Kubernetes distribution that is designed for production-grade deployments. It focuses on simplicity and efficiency and aims to provide a highly available and scalable architecture.

  2. Language Support: Spring Cloud is primarily focused on Java-based development and provides extensive support for building microservices and distributed systems using Java. It integrates well with other Java frameworks and libraries. Conversely, k3s is language-agnostic and supports multiple programming languages. It can be used to deploy applications developed in any language as long as they can run within a Kubernetes environment.

  3. Deployment Model: Spring Cloud applications can be deployed in various ways, including traditional on-premises servers, virtual machines, and cloud platforms. It provides flexibility in choosing the deployment model based on the specific requirements of the application. On the contrary, k3s leverages Kubernetes as its underlying platform and follows the containerization model. It allows developers to package applications into lightweight and portable containers that can be easily deployed and managed across different environments.

  4. Scalability and Resilience: Spring Cloud provides features and tools for building resilient and scalable applications. It offers load balancing, circuit breakers, and service discovery mechanisms, among others, to ensure high availability and fault tolerance. On the other hand, k3s leverages the scalability and resilience capabilities of Kubernetes. It enables horizontal scaling of applications by automatically replicating and distributing containers across multiple nodes, thereby ensuring high availability and efficient resource utilization.

  5. Development Paradigm: Spring Cloud follows the traditional monolithic development paradigm, where the entire application is developed as a single unit. It provides libraries and frameworks for building large-scale applications with cohesive and tightly coupled components. Conversely, k3s promotes the microservices architecture, where applications are broken down into smaller, loosely coupled services that can be developed, deployed, and scaled independently. It emphasizes modular and independent development, making it easier to manage and evolve complex systems.

  6. Community and Ecosystem: Spring Cloud has a vibrant and extensive community with a wide range of resources, documentation, and community-driven support. It has been widely adopted by developers and has a mature ecosystem with numerous third-party libraries and tools. On the other hand, k3s is a relatively new project but has gained popularity due to its lightweight and simplified approach to Kubernetes. It benefits from the vast Kubernetes ecosystem, which includes a large number of tools, utilities, and integrations developed by the community.

In Summary, Spring Cloud and k3s differ in their architecture, language support, deployment model, scalability and resilience features, development paradigm, and community/ecosystem. The choice between the two frameworks depends on the specific requirements and preferences of the project, considering factors such as programming language, deployment model, development approach, and available community support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Spring Cloud
Spring Cloud
k3s
k3s

It provides tools for developers to quickly build some of the common patterns in distributed systems.

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Distributed/versioned configuration; Service registration and discovery; Routing; Service-to-service calls; Load balancing; Circuit Breakers; Global locks; Leadership election and cluster state; Distributed messaging
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
Stacks
1.6K
Stacks
97
Followers
753
Followers
252
Votes
0
Votes
16
Pros & Cons
No community feedback yet
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
Integrations
Hystrix
Hystrix
Eureka
Eureka
Zuul
Zuul
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to Spring Cloud, k3s?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

Android SDK

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot