LIGHT

  • News
  • Docs
  • Community
  • Reddit
  • GitHub

Spring is bloated

Spring is bloated

Over the years, Spring seemed to be the replacement of JEE servers with IoC container and light weight servlet container as its foundation. Especially recently, Spring Boot brings in an easy development model and increases developer productivity dramatically.

However, there are two issues or limitations in Spring applications.

Spring is bloated and it becomes too heavy

When Spring was out, it was only a small core with IoC contain and it was fast and easy to use. Now, I cannot even count how many Spring Components available today. In order to complete with JEE, Spring basically implemented all replacements of JEE and these are heavy components.

Most Spring applications are based on old servlet API and it is slow.

Another issue with Spring is due to the foundation of servlet container which was designed over ten years ago without multi-core, NIO etc in consideration. There is a little improvement in Servlet 3.1 but it wasn’t right due to backward compatible requirement.

I did a performance test on both Spring Boot and my own Light Java Framework and found that Spring Boot is 44 times slower. The performance test code and results can be found here.

The test result for Spring Boot was based on the embedded tomcat server; later on, I switched to Undertow servlet container for Spring Boot. The Undertow Servlet container is faster but still over 20-30 times slower than Light Java Framework which is built on top of the Undertow core http server.

The 20-30 times difference between the two is due to Servlet overhead and Spring Boot overhead and it is very significant.

After I published the performance test results, one of the Spring developers pointed me to a new approach to build Spring Boot application with Netty. The performance is getting better but is still very slow compared with Light Java.

Memory Footprint

During these tests, I observed that Spring Boot with an embedded servlet container uses at least 5 times more memory. This is a big difference in cloud computing as memory is very expensive.

Conclusion

Given above reasons, there is no way that Spring Boot can be used as a light weight platform for microservices. It is too heavy and two slow. And if you compare the codebase on both Spring Boot and Light Java, you can see Light Java code is small and easy to understand without any annotations.

See Also

  • Fail Fast vs Fail Slow
  • Eco System
  • CQRS
  • Event Sourcing
  • Service Mesh
  • About Light
    • Overview
    • Testimonials
    • What is Light
    • Features
    • Principles
    • Benefits
    • Roadmap
    • Community
    • Articles
    • Videos
    • License
    • Why Light Platform
  • Getting Started
    • Get Started Overview
    • Environment
    • Light Codegen Tool
    • Light Rest 4j
    • Light Tram 4j
    • Light Graphql 4j
    • Light Hybrid 4j
    • Light Eventuate 4j
    • Light Oauth2
    • Light Portal Service
    • Light Proxy Server
    • Light Router Server
    • Light Config Server
    • Light Saga 4j
    • Light Session 4j
    • Webserver
    • Websocket
    • Spring Boot Servlet
  • Architecture
    • Architecture Overview
    • API Category
    • API Gateway
    • Architecture Patterns
    • CQRS
    • Eco System
    • Event Sourcing
    • Fail Fast vs Fail Slow
    • Integration Patterns
    • JavaEE declining
    • Key Distribution
    • Microservices Architecture
    • Microservices Monitoring
    • Microservices Security
    • Microservices Traceability
    • Modular Monolith
    • Platform Ecosystem
    • Plugin Architecture
    • Scalability and Performance
    • Serverless
    • Service Collaboration
    • Service Mesh
    • SOA
    • Spring is bloated
    • Stages of API Adoption
    • Transaction Management
    • Microservices Cross-cutting Concerns Options
    • Service Mesh Plus
    • Service Discovery
  • Design
    • Design Overview
    • Design First vs Code First
    • Desgin Pattern
    • Service Evolution
    • Consumer Contract and Consumer Driven Contract
    • Handling Partial Failure
    • Idempotency
    • Server Life Cycle
    • Environment Segregation
    • Database
    • Decomposition Patterns
    • Http2
    • Test Driven
    • Multi-Tenancy
    • Why check token expiration
    • WebServices to Microservices
  • Cross-Cutting Concerns
    • Concerns Overview
  • API Styles
    • Light-4j for absolute performance
    • Style Overview
    • Distributed session on IMDG
    • Hybrid Serverless Modularized Monolithic
    • Kafka - Event Sourcing and CQRS
    • REST - Representational state transfer
    • Web Server with Light
    • Websocket with Light
    • Spring Boot Integration
    • Single Page Application
    • GraphQL - A query language for your API
    • Light IBM MQ
    • Light AWS Lambda
    • Chaos Monkey
  • Infrastructure Services
    • Service Overview
    • Light Proxy
    • Light Mesh
    • Light Router
    • Light Portal
    • Messaging Infrastructure
    • Centralized Logging
    • COVID-19
    • Light OAuth2
    • Metrics and Alerts
    • Config Server
    • Tokenization
    • Light Controller
  • Tool Chain
    • Tool Chain Overview
  • Utility Library
  • Service Consumer
    • Service Consumer
  • Development
    • Development Overview
  • Deployment
    • Deployment Overview
    • Frontend Backend
    • Linux Service
    • Windows Service
    • Install Eventuate on Windows
    • Secure API
    • Client vs light-router
    • Memory Limit
    • Deploy to Kubernetes
  • Benchmark
    • Benchmark Overview
  • Tutorial
    • Tutorial Overview
  • Troubleshooting
    • Troubleshoot
  • FAQ
    • FAQ Overview
  • Milestones
  • Contribute
    • Contribute to Light
    • Development
    • Documentation
    • Example
    • Tutorial
“Spring is bloated” was last updated: April 5, 2021: Issue246 (#256) (50b1c10)
Improve this page
  • News
  • Docs
  • Community
  • Reddit
  • GitHub
  • About Light
  • Getting Started
  • Architecture
  • Design
  • Cross-Cutting Concerns
  • API Styles
  • Infrastructure Services
  • Tool Chain
  • Utility Library
  • Service Consumer
  • Development
  • Deployment
  • Benchmark
  • Tutorial
  • Troubleshooting
  • FAQ
  • Milestones
  • Contribute