Spring Modulith: Revolutionizing Modular Monoliths with Spring Boot and AI

Spring Modulith is an architectural tool for visualizing, integrating, and verifying modular software design within a Spring Boot application, enhancing monolithic codebases.

### Spring Modulith: Revolutionizing Modular Monolith Architecture with Spring Boot
* 🏗 Spring Modulith aims to provide opinions and support around modular architecture, translating **logical architectural ideas into concrete implementations**.
* 🔍 Spring Modulith leverages Spring Boot's package scanning to interpret every top-level package as a separate module, **enforcing boundaries between modules**.
* 🛠 It helps you **verify both your architecture and code**, **visualize design-time and runtime relationships**, and **integrate modules with each other and external systems**.
* 📊 The Spring survey data shows a trend of **increasing adoption of modern architectures like microservices, reactive, and serverless**, while the usage of **modular monoliths is relatively low**.
* 📈 Over the past 10 years, there has been **significant collective progress in modular architecture** driven by microservices, with a renewed interest in **domain-driven design** and innovations like **distributed tracing**.
* 🧩 Spring Modulith does not identify domains or untangle code but provides a structured approach to **verify, visualize, and integrate modules**.
* 🚀 The project's origin story dates back to a hobby project by Oliver Domb in 2017, with the **first official Spring Modulith release in August 2023** and the **recent release of version 1.2 last Friday**.

### Spring Modulith: Verified, Visualized, and Integrated
* 🚀 "Spring Modulith is not invasive into your production code; rather, it's applying architectural rules through tests, helping you **verify your code and architecture**."
* 🏗 "With Spring Modulith, you can **slice the application vertically**, isolating a module and its dependencies with a simple annotation on your test classes."
* 🏛 Spring Modulith helps you describe what's architecturally important about your architecture, **generating component relationship diagrams and metadata tables** from test code.
* 🔗 "It adds a span ID for every API entry point for every module within a Spring Boot application, enabling you to **understand the flow of traffic between modules**."
* 📦 "For module integration through events, Spring Modulith provides extra support, allowing you to **decouple modules within a single Spring Boot application** using Spring application events."
* 🦋 Introduced with Spring Modulith 1.2, **open application modules** provide a way for legacy code and modular code to coexist, offering a **path to refactor legacy code in place**.
* 🏗 "Regardless of whether you choose monoliths, moduliths, or microservices, Spring Modulith provides **specific and actionable guidance** for turning logical architectural ideas into code."

Spring I/O 2024 Keynote

Spring I/O

Keynote Highlights: Java Platform Evolution

The speaker acknowledges the top five presence of Austria in the conference and emphasizes the importance of interaction in the Community Conference.

He discusses the industry consensus on Java 17 as the new baseline, the transitional role of Java 11, and the benefits of Java 21 for application migration.

The speaker also highlights the significant use of Kotlin, alongside Java, in organizations, as indicated in the developer survey.

3 is now available, based on the Spring Framework 6.

x line, offering CD's support and observability improvements in Spring Security Auto configuration.

The next feature release and the next minor Generation of the core framework are currently in the Milestone phase, with plans to go GA in November 2024.

The release includes an overhaul of the core feature set, touching on the Coe container internals and expression language support, as well as providing early Jakarta EE 11 support.

The Spring efficiency working group has introduced two new features as part of Spring Boot 3.

3, including the capability for a Spring executable JAR to self-extract itself for a more efficient production application layout, which is CDS-friendly by default.

Efficiency Improvements in Spring Boot 3.

3 and Java 21 introduce efficiency-related features that can decrease startup time by 42% and memory consumption by 35%, especially when using CDs and WebJ support.

The use of virtual threads in Spring Boot 3.

3 shows a significant increase in throughput and a reduction in latency, allowing for the use of smaller and cheaper instances, particularly beneficial when using inexpensive cloud resources.

Project Laden is collaborating to further improve startup time by enabling pre-warming of applications and creating smaller containers, while the use of jar tooling and CD caching also contributes to significant startup time improvements.

The Importance of Build Packs in Java Development

Build packs provide a controlled environment for packaging applications and ensure the proper functioning of class data cache.

They offer best practices for building and have multiple extension points for customization.

The latest Spring Framework milestone introduces the MBC Tester, a variant of MckMVC, providing a fluent testing experience for JSON endpoints and offering support for JSON path and JSON assert.

The Evolution of APIs and the Spring Boot 3.

The dominant way to deploy applications is with plain JSON over HTTP, although there is a rising trend in the use of open API and GraphQL.

GraphQL is not a replacement for REST but is seeing a 75% year-over-year growth, with increased support and collaboration with Netflix's DJ's team.

3 update brings new features, including support for virtual threads, synchronous client, and first-class support for DJ's, as well as increased support for unions and interfaces in GraphQL.

The Evolution of Spring Modulith: A New Approach to Modular Architecture

Spring Modulith is driving a shift towards modular architecture, offering a new way to verify both code and architecture, by enforcing boundaries between modules and allowing vertical slicing of applications for testing.

The project's origin story dates back to 2012, stemming from Oliver Domb's ideas on managing architecture in Java and Spring applications, and has since evolved to become an official Spring project.

The latest release of Spring Modulith, 1.

2, provides support for visualizing architectural elements and generating component relationships, contributing to its growing popularity in the development community.

The Impact of Spring Modulith on Module Integration

Spring Modulith introduces a new way of tracing microservices within a Spring Boot application, allowing for a better understanding of traffic flow between modules.

It also provides support for integrating modules through events, promoting a decoupled code perspective and asynchronous operation of listeners.

Additionally, Spring Modulith offers an easy transition to external infrastructure for event externalization and microservice deployment, with the added benefit of event recording and republishing in case of listener failure.

The release of open application modules in Spring Modulith 1.

2 allows for the coexistence of legacy and modular code, providing a path forward to refactor legacy code in place without the need to change traffic patterns or deployment strategies.

AI is becoming increasingly prevalent, with over 70% of organizations already using it in various domains, as highlighted in the recent IDC report.

The main use cases for AI include generative AI for software development and its integration with application APIs and data.

The process of doing AI in reality is complex, as seen in the example of the DeepMind AlphaGo team, but Java is emerging as a great language for developing generative AI applications, offering an alternative to the commonly used Python.

Spring AI has become a top choice for Azure and Google Cloud customers.

It offers high-level service abstractions for AI component models and is a crucial part of AI engineering.

The technology is easy to comprehend and is being embraced by Spring developers, with a growing range of model integrations available.

Building a Facility to Support Pet Adoption with AI

A new facility is being built to support the adoption of dogs, with a focus on using AI to assist in the process.

The AI system is being trained to act as an assistant for pet adoption, with a specific focus on the Spring Pet Emporium in Barcelona and Madrid, Spain.

The system prompt is being updated to inquire about the availability of neurotic dogs for adoption, aligning with the goal of supporting the pet adoption process.

Connecting AI to the Database: A Step-by-Step Guide

The process involves connecting the AI to a semantical database using a vector store interface.

Creating a domain and a dog repository is essential for communicating with the SQL database.

Adding a default advisor to the chat client allows the AI to consult the vector store for information.

Introducing a New Function for Dog Adoption Pickup

A new function is introduced to schedule a pickup for a dog adoption, specifically for a dog named Praner.

The function includes a request and response mechanism to arrange the pickup.

The speaker expresses excitement about the progress made and invites the audience to another session on Spring AI.