Presenter Nathaniel Schutta — Architect as a Service — Thoughtworks — LinkedIn

FUNDAMENTALS OF SOFTWARE ENGINEERING IN THE AGE OF AI

Agentic coding assistants and editor-based AI chat interfaces are reshaping the development workflow—leading some to proclaim the end of software engineering. Is it time to explore other careers? Not so fast! The rumors of our demise are greatly exaggerated.

While these tools can significantly boost productivity, developers must still master the fundamentals of the software craft to use them effectively. Modern software development demands more than just coding proficiency—it requires navigating an AI-augmented landscape where human expertise and machine intelligence increasingly collaborate.

This intensive workshop bridges the critical gap between what early-career developers learn in formal education and what they need to thrive in professional environments. Drawing from the acclaimed book "Fundamentals of Software Engineering", we guide participants through a comprehensive journey from programmer to well-rounded software engineer—equipped to leverage AI tools effectively while maintaining engineering fundamentals.

Workshop Focus

Participants will develop both technical capabilities and professional skills that remain relevant regardless of changing languages, frameworks, or AI capabilities.

Through a balanced mix of conceptual teaching, collaborative discussions, and hands-on exercises with both traditional and AI-assisted approaches, attendees will engage in real-world scenarios that reinforce the practical application of these core principles.

By the end, you’ll have developed the discernment and confidence to understand when and how to integrate AI tools into your workflow—without losing sight of the essential craft of software engineering.

Presenter James Ward — Developer Advocate — AWS — LinkedIn

HANDS-ON: BUILDING AGENTS WITH SPRING AI, MCP, JAVA, AND AMAZON BEDROCK

In this hands-on workshop, you’ll learn how to build and deploy production-ready AI Agents using modern enterprise technologies.

You’ll work with Spring AI, MCP, Java, and Amazon Bedrock—gaining the skills to address critical production concerns such as observability and security.

We’ll start with basic prompting, then expand with chat memory, Retrieval-Augmented Generation (RAG), and integration through MCP. By the end, you’ll have built a multi-agent system where agents collaborate and interact to accomplish complex, high-level tasks.

Workshop Learnings

• Understand the core principles of AI agent design and orchestration
• Use Spring AI and MCP to build interoperable, enterprise-ready AI services
• Apply prompt engineering techniques for effective model interaction
• Implement chat memory and RAG (Retrieval-Augmented Generation) to create context-aware agents
• Integrate agents with Amazon Bedrock and external APIs
• Address production-grade concerns including observability, security, and scalability
• Develop a multi-agent architecture where agents collaborate on complex workflows

Workshop Benefits

• Gain a hands-on understanding of AI agent architecture and lifecycle
• Learn how to connect LLMs and enterprise systems through modern frameworks
• Build a real, functioning multi-agent prototype ready for deployment
• Understand how to monitor, secure, and scale AI-driven applications in production
• Leave with a complete reference implementation and design pattern you can apply immediately

Who Should Attend

• Java and Spring Developers exploring AI integration
• Software Architects designing AI-enabled systems
• AI Engineers and Technical Leads working with multi-agent systems
• Developers interested in LLM orchestration and RAG pipelines

Presenter Rohit Bhardwaj — Director of Architecture, CTO — Salesforce — LinkedIn

AGENTIC, ASSISTIVE & PREDICTIVE AI PATTERNS

Building AI isn’t about plugging into an API — it’s about patterns, orchestration, and guardrails. This workshop equips architects, developers, and leaders to design enterprise-ready AI systems using the Big 3 Patterns (Predictive, Assistive, Agentic), RAG grounding, and multi-agent orchestration with MCP.

You’ll work through real-world e-commerce scenarios and leave with a Smart Checkout Helper prototype, reusable decision frameworks, and a governance playbook that CIOs can trust.

Key Takeaways

• Pattern Literacy → Know when to apply Predictive, Assistive, or Agentic AI.
• Integration Skills → Wire up Salesforce Agentforce, OpenAI, Zapier, and Data Cloud into resilient flows.
• RAG Mastery → Ground AI in facts to reduce hallucinations.
• Multi-Agent Orchestration → Use Orchestrator, Pub/Sub, Blackboard, Capability Router, and MCP.
• Governance Confidence → Embed privacy, bias checks, auditability, and resilience into every design.
• Business Alignment → Use Jobs-to-Be-Done to link AI to ROI.

Agenda

Module 1.

• Foundations of AI Patterns
• Why AI patterns > tools.
• Event-driven + API-driven + AI-driven systems.
• Build: Hello World → OpenAI + Zapier trigger.

Module 2.

• The Big 3 Patterns
• Predictive → foresight.
• Assistive → guidance.
• Agentic → autonomy.
• Decision matrix for choosing patterns.
• Build: Same use case in 3 ways (cart abandonment).

Module 3.

• Predictive AI → Foresight in Systems
• Forecast churn, fraud, demand.
• Salesforce Data Cloud predictive models.
• APIs/events for embedding predictions.
• Build: Predictive scoring in checkout flow.

Module 4.

• Assistive AI → Guiding Humans
• UX patterns: nudges, cards, contextual insights.
• Salesforce Next Best Action examples.
• Build: Personalized promotion recommender for service agent.

Module 5.

• Jobs-to-Be-Done Framework
• E-commerce jobs: Acquire → Convert → Fulfill → Support.
• Map AI patterns to jobs.
• Build: Convert job → predictive + assistive + agentic combo flow.

Module 6.

• Agentic AI → Autonomy in Action
• Autonomy levels (assistive → semi → fully agentic).
• Salesforce Agentforce: SDR Agent, Sales Coach Agent.
• Fallbacks & escalation strategies.
• Build: Refund bot with human-in-loop approval.

Module 7.

• RAG → Grounding AI in Facts
• Why hallucinations occur.
• RAG architecture: vector DB + retriever + LLM.
• Build: Checkout FAQ bot (returns, policies, catalog).

Module 8.

• Multi-Agent Orchestration & MCP
• Core orchestration patterns:
• Orchestrator / Supervisor
• Pub/Sub
• Blackboard / Shared Memory
• Capability Router (Intent → Skill)
• MCP (Model Context Protocol) → plug-and-play interoperability
• Build: Checkout Agent → Inventory Agent → Pricing Agent using Pub/Sub + Supervisor.

Module 9.

• Governance & Guardrails
• Privacy by design, bias checks, audit trails.
• Architecture resilience: retries, DLQs, idempotency.
• CIO trust checklist.
• Build: Add governance + logging to prototype.

Module 10.

• From Prototype to Production
• End-to-end demo of Smart Checkout Helper.
• Templates: pattern matrix, JTBD map, governance checklist.
• ROI storytelling for business leaders.
• Next steps for embedding AI into your enterprise.

What You’ll Leave With

• A working prototype of an AI-powered checkout flow.
• A decision framework (Predictive / Assistive / Agentic).
• A governance checklist for privacy, bias, and auditability.
• A multi-agent orchestration playbook (including MCP).
• A business mapping toolkit (JTBD → AI → ROI).

Presenter Mark Heckler — Senior Director of Field Engineering — Moderne — LinkedIn

MIGRATION ENGINEERING WITH OPENREWRITE: THE RECIPE FOR SUCCESS

How adaptable is your technology stack to changes in business requirements, technological advancements, and the availability of new and better tools?

When you can more easily secure, upgrade, move, or modernize your code, that means you can adapt quickly and efficiently to changes in technology and markets. That’s what Migration Engineering is all about — and it’s the focus of this workshop.

We’ll discuss and demonstrate how to write custom recipes using OpenRewrite, an open source auto-refactoring tool that enables large-scale code analysis and transformations for your teams. You’ll learn the composition of recipes as we walk through a number of examples, then see how to write custom recipes using OpenRewrite. We’ll assemble these recipes with the visitor pattern and show how to stitch recipes together with YAML, Refaster-style templates, Semgrep matchers, and more. We’ll also demonstrate how Generative AI can be applied to accelerate recipe development.

This is a comprehensive, hands-on exploration of recipe development that will equip you to plan and execute large-scale code transformations in your organization.

Workshop Outline

What is Migration Engineering? (15 minutes)

• Introducing OpenRewrite (30 minutes)
• From source code as text to the Lossless Semantic Tree
• How the OpenRewrite community is organized

Recipe Exercise #1 (30 minutes)

Goal: Change all integer literals to 42 (because 42 is the answer to life, the universe, and everything).

Recipe Exercise #2 (30 minutes)

Goal: Fix SAST issues using Refaster-style templates.

Recipe Exercise #3 (1 hour)

Goal: Find and secure Personally Identifiable Information (PII).

• Introducing search markers
• Introducing Data Tables for impact analysis
• Securing endpoints that expose PII

Recipe Exercise #4 (1 hour)

Goal: Find and fix SQL injection vulnerabilities.

• Using OpenRewrite’s support for Semgrep-style local data flow analysis
• Contributing a security recipe to the open source catalog of OWASP Top Ten recipes
• Mass remediation: using our first recipes to issue pull requests or commits to many repositories at once (15 minutes)

Visualization #1 (30 minutes)

• Visualizing the distribution of Gradle versions in a codebase
• Connecting Jupyter Notebooks to OpenRewrite Data Tables
• Building a simple bar chart of Gradle version distribution across hundreds of repositories

Visualization #2 (30 minutes)

• Visualizing unused binary dependencies in Maven and Gradle projects
• Using network analysis tools in Jupyter for large-scale directed graph visualization
• Where to integrate Migration Engineering into the SDLC (15 minutes)
• Open Recipe Development Lab (1.5 hours)

Demo

Using AI to Jumpstart Recipe Writing

Presenter Venkat Subramaniam — Principal — Agile Developer, Inc. — LinkedIn

CRUISING ALONG WITH JAVA: FROM JAVA 9 TO 25

Java has been evolving at a fast but steady pace, with six-month release cycles. Much has changed in the language, bringing conciseness, elegance, and above all, better modeling facilities to design software.

In this hands-on workshop, experience firsthand the facilities offered by modern Java and learn how to leverage them in your software projects. In addition to exploring the newer syntax, we’ll peek into the semantics and bytecode to understand the behavior of the code, its effect on performance, and its interoperability with other languages on the JVM.

Each attendee will receive a copy of the book on this topic written by the presenter.

Workshop Requirements

Please have the following installed on your system before the workshop:

• Git client
• Your favorite IDE (IntelliJ IDEA Community Edition recommended but not required)
• Latest version of the JDK

Workshop Learnings

• Why you should modernize your Java applications
• New design capabilities you can leverage in modern Java
• How to make code fluent and less error-prone
• How to combine multiple features for greater benefits
• Understand the dos and don’ts of modern Java development

Workshop Benefits

• Gain the motivation and knowledge to modernize your Java applications
• Understand the power and performance implications of newer Java features
• Develop a plan to modernize your codebase with confidence
• Get a glimpse into Java’s future direction
• Learn how to influence Java adoption and modernization in your enterprise

Who Should Attend

• Programmers
• Team Leads
• Hands-on Architects
• Technical Managers working with Java applications

Presenter Daniel Hinojosa — Independent Consultant — evolutionnext.com — LinkedIn

EVENT DRIVEN ARCHITECTURE & EVENT STREAMING WORKSHOP

Event-driven architecture (EDA) is a design principle in which the flow of a system’s operations is driven by the occurrence of events, rather than direct communication between services or components.

There are many reasons why EDA has become a standard architecture for moderate to large organizations. It offers a history of events with the ability to rewind and perform real-time data processing in a scalable and fault-tolerant way. It also provides real-time ETL (Extract, Transform, Load) capabilities for near-instantaneous data processing. EDA can serve as the communication backbone in microservice architectures—or complement other architectural styles seamlessly.

Workshop Requirements

• GitHub account

Workshop Learnings

• Key Concepts of Event-Driven Architecture
• Event Sourcing
• Event Streaming
• Multi-tenant Event-Driven Systems
• Producers and Consumers
• Microservice Boundaries
• Stream vs. Table
• Event Notification
• Event Carried State Transfer
• Domain Events
• Tying EDA to Domain-Driven Design
• Materialized Views
• Outbox Pattern
• CQRS (Command Query Responsibility Segregation)
• Saga Pattern (Choreography and Orchestrator)
• Avoiding Coupling
• Monitoring Systems
• Cloud-Based EDA

We’ll complete several hands-on labs throughout the workshop to reinforce learning with practical experience.

Workshop Benefits

This workshop is designed for architects and developers who want to learn how to design and implement EDA systems. Because it’s highly hands-on, you’ll gain a tactical understanding of how to roll out your own event-driven systems in production environments.

The experience is also visual—featuring diagrams, workflows, and animations to make the underlying concepts and patterns easier to understand and apply.

Who Should Attend

• Architects
• Developers
• Data Engineers

Presenter Nathaniel Schutta — Architect as a Service — Thoughtworks — LinkedIn

FUNDAMENTALS OF SOFTWARE ENGINEERING IN THE AGE OF AI

Agentic coding assistants and editor-based AI chat interfaces are reshaping the development workflow—leading some to proclaim the end of software engineering. Is it time to explore other careers? Not so fast! The rumors of our demise are greatly exaggerated.

While these tools can significantly boost productivity, developers must still master the fundamentals of the software craft to use them effectively. Modern software development demands more than just coding proficiency—it requires navigating an AI-augmented landscape where human expertise and machine intelligence increasingly collaborate.

This intensive workshop bridges the critical gap between what early-career developers learn in formal education and what they need to thrive in professional environments. Drawing from the acclaimed book "Fundamentals of Software Engineering", we guide participants through a comprehensive journey from programmer to well-rounded software engineer—equipped to leverage AI tools effectively while maintaining engineering fundamentals.

Workshop Focus

Participants will develop both technical capabilities and professional skills that remain relevant regardless of changing languages, frameworks, or AI capabilities.

Through a balanced mix of conceptual teaching, collaborative discussions, and hands-on exercises with both traditional and AI-assisted approaches, attendees will engage in real-world scenarios that reinforce the practical application of these core principles.

By the end, you’ll have developed the discernment and confidence to understand when and how to integrate AI tools into your workflow—without losing sight of the essential craft of software engineering.

Presenter James Ward — Developer Advocate — AWS — LinkedIn

HANDS-ON: BUILDING AGENTS WITH SPRING AI, MCP, JAVA, AND AMAZON BEDROCK

In this hands-on workshop, you’ll learn how to build and deploy production-ready AI Agents using modern enterprise technologies.

You’ll work with Spring AI, MCP, Java, and Amazon Bedrock—gaining the skills to address critical production concerns such as observability and security.

We’ll start with basic prompting, then expand with chat memory, Retrieval-Augmented Generation (RAG), and integration through MCP. By the end, you’ll have built a multi-agent system where agents collaborate and interact to accomplish complex, high-level tasks.

Workshop Learnings

• Understand the core principles of AI agent design and orchestration
• Use Spring AI and MCP to build interoperable, enterprise-ready AI services
• Apply prompt engineering techniques for effective model interaction
• Implement chat memory and RAG (Retrieval-Augmented Generation) to create context-aware agents
• Integrate agents with Amazon Bedrock and external APIs
• Address production-grade concerns including observability, security, and scalability
• Develop a multi-agent architecture where agents collaborate on complex workflows

Workshop Benefits

• Gain a hands-on understanding of AI agent architecture and lifecycle
• Learn how to connect LLMs and enterprise systems through modern frameworks
• Build a real, functioning multi-agent prototype ready for deployment
• Understand how to monitor, secure, and scale AI-driven applications in production
• Leave with a complete reference implementation and design pattern you can apply immediately

Who Should Attend

• Java and Spring Developers exploring AI integration
• Software Architects designing AI-enabled systems
• AI Engineers and Technical Leads working with multi-agent systems
• Developers interested in LLM orchestration and RAG pipelines

Presenter Rohit Bhardwaj — Director of Architecture, CTO — Salesforce — LinkedIn

AGENTIC, ASSISTIVE & PREDICTIVE AI PATTERNS

Building AI isn’t about plugging into an API — it’s about patterns, orchestration, and guardrails. This workshop equips architects, developers, and leaders to design enterprise-ready AI systems using the Big 3 Patterns (Predictive, Assistive, Agentic), RAG grounding, and multi-agent orchestration with MCP.

You’ll work through real-world e-commerce scenarios and leave with a Smart Checkout Helper prototype, reusable decision frameworks, and a governance playbook that CIOs can trust.

Key Takeaways

• Pattern Literacy → Know when to apply Predictive, Assistive, or Agentic AI.
• Integration Skills → Wire up Salesforce Agentforce, OpenAI, Zapier, and Data Cloud into resilient flows.
• RAG Mastery → Ground AI in facts to reduce hallucinations.
• Multi-Agent Orchestration → Use Orchestrator, Pub/Sub, Blackboard, Capability Router, and MCP.
• Governance Confidence → Embed privacy, bias checks, auditability, and resilience into every design.
• Business Alignment → Use Jobs-to-Be-Done to link AI to ROI.

Agenda

Module 1.

• Foundations of AI Patterns
• Why AI patterns > tools.
• Event-driven + API-driven + AI-driven systems.
• Build: Hello World → OpenAI + Zapier trigger.

Module 2.

• The Big 3 Patterns
• Predictive → foresight.
• Assistive → guidance.
• Agentic → autonomy.
• Decision matrix for choosing patterns.
• Build: Same use case in 3 ways (cart abandonment).

Module 3.

• Predictive AI → Foresight in Systems
• Forecast churn, fraud, demand.
• Salesforce Data Cloud predictive models.
• APIs/events for embedding predictions.
• Build: Predictive scoring in checkout flow.

Module 4.

• Assistive AI → Guiding Humans
• UX patterns: nudges, cards, contextual insights.
• Salesforce Next Best Action examples.
• Build: Personalized promotion recommender for service agent.

Module 5.

• Jobs-to-Be-Done Framework
• E-commerce jobs: Acquire → Convert → Fulfill → Support.
• Map AI patterns to jobs.
• Build: Convert job → predictive + assistive + agentic combo flow.

Module 6.

• Agentic AI → Autonomy in Action
• Autonomy levels (assistive → semi → fully agentic).
• Salesforce Agentforce: SDR Agent, Sales Coach Agent.
• Fallbacks & escalation strategies.
• Build: Refund bot with human-in-loop approval.

Module 7.

• RAG → Grounding AI in Facts
• Why hallucinations occur.
• RAG architecture: vector DB + retriever + LLM.
• Build: Checkout FAQ bot (returns, policies, catalog).

Module 8.

• Multi-Agent Orchestration & MCP
• Core orchestration patterns:
• Orchestrator / Supervisor
• Pub/Sub
• Blackboard / Shared Memory
• Capability Router (Intent → Skill)
• MCP (Model Context Protocol) → plug-and-play interoperability
• Build: Checkout Agent → Inventory Agent → Pricing Agent using Pub/Sub + Supervisor.

Module 9.

• Governance & Guardrails
• Privacy by design, bias checks, audit trails.
• Architecture resilience: retries, DLQs, idempotency.
• CIO trust checklist.
• Build: Add governance + logging to prototype.

Module 10.

• From Prototype to Production
• End-to-end demo of Smart Checkout Helper.
• Templates: pattern matrix, JTBD map, governance checklist.
• ROI storytelling for business leaders.
• Next steps for embedding AI into your enterprise.

What You’ll Leave With

• A working prototype of an AI-powered checkout flow.
• A decision framework (Predictive / Assistive / Agentic).
• A governance checklist for privacy, bias, and auditability.
• A multi-agent orchestration playbook (including MCP).
• A business mapping toolkit (JTBD → AI → ROI).

Presenter Mark Heckler — Senior Director of Field Engineering — Moderne — LinkedIn

MIGRATION ENGINEERING WITH OPENREWRITE: THE RECIPE FOR SUCCESS

How adaptable is your technology stack to changes in business requirements, technological advancements, and the availability of new and better tools?

When you can more easily secure, upgrade, move, or modernize your code, that means you can adapt quickly and efficiently to changes in technology and markets. That’s what Migration Engineering is all about — and it’s the focus of this workshop.

We’ll discuss and demonstrate how to write custom recipes using OpenRewrite, an open source auto-refactoring tool that enables large-scale code analysis and transformations for your teams. You’ll learn the composition of recipes as we walk through a number of examples, then see how to write custom recipes using OpenRewrite. We’ll assemble these recipes with the visitor pattern and show how to stitch recipes together with YAML, Refaster-style templates, Semgrep matchers, and more. We’ll also demonstrate how Generative AI can be applied to accelerate recipe development.

This is a comprehensive, hands-on exploration of recipe development that will equip you to plan and execute large-scale code transformations in your organization.

Workshop Outline

What is Migration Engineering? (15 minutes)

• Introducing OpenRewrite (30 minutes)
• From source code as text to the Lossless Semantic Tree
• How the OpenRewrite community is organized

Recipe Exercise #1 (30 minutes)

Goal: Change all integer literals to 42 (because 42 is the answer to life, the universe, and everything).

Recipe Exercise #2 (30 minutes)

Goal: Fix SAST issues using Refaster-style templates.

Recipe Exercise #3 (1 hour)

Goal: Find and secure Personally Identifiable Information (PII).

• Introducing search markers
• Introducing Data Tables for impact analysis
• Securing endpoints that expose PII

Recipe Exercise #4 (1 hour)

Goal: Find and fix SQL injection vulnerabilities.

• Using OpenRewrite’s support for Semgrep-style local data flow analysis
• Contributing a security recipe to the open source catalog of OWASP Top Ten recipes
• Mass remediation: using our first recipes to issue pull requests or commits to many repositories at once (15 minutes)

Visualization #1 (30 minutes)

• Visualizing the distribution of Gradle versions in a codebase
• Connecting Jupyter Notebooks to OpenRewrite Data Tables
• Building a simple bar chart of Gradle version distribution across hundreds of repositories

Visualization #2 (30 minutes)

• Visualizing unused binary dependencies in Maven and Gradle projects
• Using network analysis tools in Jupyter for large-scale directed graph visualization
• Where to integrate Migration Engineering into the SDLC (15 minutes)
• Open Recipe Development Lab (1.5 hours)

Demo

Using AI to Jumpstart Recipe Writing

Presenter Venkat Subramaniam — Principal — Agile Developer, Inc. — LinkedIn

CRUISING ALONG WITH JAVA: FROM JAVA 9 TO 25

Java has been evolving at a fast but steady pace, with six-month release cycles. Much has changed in the language, bringing conciseness, elegance, and above all, better modeling facilities to design software.

In this hands-on workshop, experience firsthand the facilities offered by modern Java and learn how to leverage them in your software projects. In addition to exploring the newer syntax, we’ll peek into the semantics and bytecode to understand the behavior of the code, its effect on performance, and its interoperability with other languages on the JVM.

Each attendee will receive a copy of the book on this topic written by the presenter.

Workshop Requirements

Please have the following installed on your system before the workshop:

• Git client
• Your favorite IDE (IntelliJ IDEA Community Edition recommended but not required)
• Latest version of the JDK

Workshop Learnings

• Why you should modernize your Java applications
• New design capabilities you can leverage in modern Java
• How to make code fluent and less error-prone
• How to combine multiple features for greater benefits
• Understand the dos and don’ts of modern Java development

Workshop Benefits

• Gain the motivation and knowledge to modernize your Java applications
• Understand the power and performance implications of newer Java features
• Develop a plan to modernize your codebase with confidence
• Get a glimpse into Java’s future direction
• Learn how to influence Java adoption and modernization in your enterprise

Who Should Attend

• Programmers
• Team Leads
• Hands-on Architects
• Technical Managers working with Java applications

Presenter Daniel Hinojosa — Independent Consultant — evolutionnext.com — LinkedIn

EVENT DRIVEN ARCHITECTURE & EVENT STREAMING WORKSHOP

Event-driven architecture (EDA) is a design principle in which the flow of a system’s operations is driven by the occurrence of events, rather than direct communication between services or components.

There are many reasons why EDA has become a standard architecture for moderate to large organizations. It offers a history of events with the ability to rewind and perform real-time data processing in a scalable and fault-tolerant way. It also provides real-time ETL (Extract, Transform, Load) capabilities for near-instantaneous data processing. EDA can serve as the communication backbone in microservice architectures—or complement other architectural styles seamlessly.

Workshop Requirements

• GitHub account

Workshop Learnings

• Key Concepts of Event-Driven Architecture
• Event Sourcing
• Event Streaming
• Multi-tenant Event-Driven Systems
• Producers and Consumers
• Microservice Boundaries
• Stream vs. Table
• Event Notification
• Event Carried State Transfer
• Domain Events
• Tying EDA to Domain-Driven Design
• Materialized Views
• Outbox Pattern
• CQRS (Command Query Responsibility Segregation)
• Saga Pattern (Choreography and Orchestrator)
• Avoiding Coupling
• Monitoring Systems
• Cloud-Based EDA

We’ll complete several hands-on labs throughout the workshop to reinforce learning with practical experience.

Workshop Benefits

This workshop is designed for architects and developers who want to learn how to design and implement EDA systems. Because it’s highly hands-on, you’ll gain a tactical understanding of how to roll out your own event-driven systems in production environments.

The experience is also visual—featuring diagrams, workflows, and animations to make the underlying concepts and patterns easier to understand and apply.

Who Should Attend

• Architects
• Developers
• Data Engineers