Rohit Bhardwaj

This talk is designed to catapult your productivity, enhance your emotional intelligence, and refine your problem-solving skills. This talk is not just a series of presentations; it's a transformative experience tailored for the ambitious software developer and architect seeking to leave a mark in the fast-paced world of technology.

Dive into the essence of developer and architect productivity, where we unravel the secrets to optimizing your workflow and leveraging your skills for maximum impact. Discover the “24 Hours Instant Happiness” principle, a proven strategy to inject a dose of joy into your daily routine, fostering a positive work environment and personal life.

“Maximizing Your Impact” takes you deeper into the realm of influence, equipping you with the tools to excel in your projects and inspire those around you. Through “Effective Communication” and the intriguing “Mirror Technique,” learn how to build rapport, foster collaboration, and lead with empathy, amplifying your charisma in all professional interactions.

As we delve into the core of success, “Emotional Intelligence is 85% of Success” highlights the paramount importance of self-awareness, self-regulation, motivation, empathy, and social skills in achieving your goals. The “6 Phase Meditation Approach” and “Day Launcher” sessions are designed to refine your focus, creativity, and emotional stability, setting a solid foundation for a productive day ahead.

The inclusion of “Empathy Maps” and “IDEO Case Studies” offers a practical lens through which to view user-centric design and innovation. At the same time, the “SCAMPER Technique” provides a creative framework for problem-solving, ensuring you're equipped to tackle challenges with agility and inventiveness.

Elevate your productivity to new heights with “5 Choices for Super Productivity,” a comprehensive guide to prioritizing effectively, embracing extraordinary outcomes, and mastering your technology. Learn the art of “Managing Energy, Not Time,” a paradigm shift that promises to enhance your efficiency and job satisfaction.

As the talk culminates, “The Paradox of Choice” and the latest “Technology Trends to Focus On” prepare you to navigate the complexities of the modern tech landscape with confidence and curiosity.

This masterclass is more than just a talk; it's an invitation to transform how you work, lead, and innovate. Join us to unlock your full potential and reshape your future in software development and architecture. Whether you're looking to boost your productivity, enhance your emotional intelligence, or simply find more joy in your work, this talk is your gateway to a more fulfilling career and life.

Developers and Architects are designers, problem solvers, and innovative, creative artists. Software design is an art that requires both left and right brains to be active so you can understand what customers need. Next, we will explore habits and tools to plan, learn, research, organize, teach, develop, mentor, and architect.

Agenda
Enhancing Productivity and Personal Growth
– Developer and Architect Productivity
Strategies for improving daily workflow and efficiency in software development and architecture.

– 24 Hours Instant Happiness
Quick wins for boosting morale and happiness within the team and personal life.

– Maximizing Your Impact
Techniques to increase your influence and contributions in projects and teams.

– Effective Communication
Importance of clear communication and the Mirror Technique to improve understanding and rapport.

– Increasing Charisma
Tips for becoming more charismatic and influential in professional settings.
Building Emotional Intelligence and Mindfulness

– Emotional Intelligence is 85% of Success
Discussing the critical role of emotional intelligence in achieving professional success.

– 6-Phase Meditation Approach
Introducing a meditation technique to enhance focus, creativity, and emotional stability.

– Day Launcher
A strategy to start your day with intention and focus, setting the tone for productivity and success.

– Empathy Map
Utilizing empathy maps to better understand user needs and enhance team collaboration.

– IDEO Case Studies
Examining case studies from IDEO to illustrate successful applications of empathy in design.

– Understanding a Problem with SCAMPER Technique
Exploring the SCAMPER technique to creatively solve problems and innovate solutions.
Strategies for Super Productivity

– 5 Choices for Super Productivity
Detailed strategies for enhancing productivity by prioritizing important tasks, aiming for extraordinary outcomes, scheduling priorities (“big rocks”), mastering technology use, and maintaining energy levels.

– Managing Energy, Not Time
Shifting focus from time management to energy management to maximize productivity and well-being.

– Increasing Frequency to Do What You Want
Techniques to align daily actions with personal and professional goals more effectively.

– The Paradox of Choice
Understanding how reducing options can lead to increased satisfaction and productivity.

– Technology Trends to Focus On
Highlighting current technology trends that developers and architects should be aware of to stay ahead in their field.

In this dynamic talk, we explore the fusion of AI, particularly ChatGPT, with data-intensive architectures. The discussion covers the enhancement of big data processing and storage, the integration of AI in distributed data systems like Hadoop and Spark, and the impact of AI on data privacy and security. Emphasizing AI's role in optimizing big data pipelines, the talk includes real-world case studies, culminating in a forward-looking Q&A session on the future of AI in big data.

This talk delves into the innovative integration of advanced AI models like ChatGPT into data-intensive architectures. It begins with an introduction to the significance of big data in modern business and the role of AI in scaling data solutions. The talk then discusses the challenges and strategies in architecting big data processing and storage systems, highlighting how AI models can enhance data processing efficiency.

A significant portion of the talk is dedicated to exploring distributed data systems and frameworks, such as Apache Hadoop and Spark, and how ChatGPT can be utilized within these frameworks for improved parallel data processing and analysis. The discussion also covers the critical aspects of data privacy and security in big data architectures, especially considering the implications of integrating AI technologies like ChatGPT.
The talk further delves into best practices for managing and optimizing big data pipelines, emphasizing the role of AI in automating data workflow, managing data lineage, and optimizing data partitioning techniques. Real-world case studies are presented to illustrate the successful implementation of AI-enhanced data-intensive architectures in various industries.

1. Introduction (10 mins)

   • Unleashing the power of big data in modern businesses
   • Importance of data-intensive architectures in scaling data solutions
   • Introducing AI's role in big data, with a focus on ChatGPT

2. Part 1: Architecting for Big Data Processing and Storage (25 mins)

   • Understanding the challenges of big data processing
   • Designing scalable data storage solutions
   • Achieving high availability and fault tolerance
   • Integrating AI models like ChatGPT for enhanced data processing

3. Part 2: Distributed Data Systems and Frameworks (25 mins)

   • Leveraging the potential of distributed processing tools
   • Introduction to Apache Hadoop, Spark, and other frameworks
   • Performing parallel data processing and analysis
   • How ChatGPT and similar AI models can be utilized in distributed systems

4. Part 3: Handling Data Privacy and Security in Big Data Architectures (20 mins)

   • Challenges and considerations for data privacy in big data environments
   • Ensuring data security and confidentiality
   • Adhering to compliance regulations in big data projects
   • Discussing the implications of AI like ChatGPT on data privacy and security

5. Part 4: Best Practices for Managing and Optimizing Big Data Pipelines (20 mins)

   • Data workflow orchestration and automation
   • Data lineage and metadata management
   • Data partitioning and optimization techniques
   • Utilizing AI models like ChatGPT for optimizing big data pipelines

6. Case Studies and Real-World Applications (10 mins)

   • Inspiring examples of successful data-intensive architecture implementations
   • Learning from the experiences of leading organizations
   • Case studies involving ChatGPT in big data solutions

7. Conclusion and Q&A (10 mins)

   • Recapitulation of key takeaways
   • Addressing questions and facilitating discussions with the audience
   • Highlighting the future of AI and big data with technologies like ChatGPT

Overall, this talk aims to provide a comprehensive understanding of how AI, especially ChatGPT, can be integrated into data-intensive architectures to enhance big data processing, analysis, and management, preparing attendees to harness AI's potential in their big data endeavors.

Key Takeaways:

1. AI's Impact on Big Data: Insight into how AI, especially ChatGPT, enhances big data processing and scalability.
2. Designing AI-Integrated Systems: Strategies for building scalable, AI-enabled data processing and storage solutions.
3. AI in Distributed Frameworks: Understanding the integration of AI in systems like Hadoop and Spark for improved data analysis.
4. Data Privacy and Security: Best practices for maintaining data integrity and compliance in AI-enhanced big data environments.
5. Optimizing Data Pipelines with AI: Techniques for using AI to automate data workflows and optimize data management.
6. Real-World AI Applications: Learning from case studies where AI in data architectures has driven success.
7. Future of AI in Big Data: Insights into the evolving role and potential of AI technologies like ChatGPT in big data.
8. Interactive Learning: Engaging in discussions and Q&A for a deeper understanding of AI's role in big data.

This interactive, hands-on workshop is designed for software developers and architects eager to explore cutting-edge AI technologies. We’ll delve deep into Retrieval-Augmented Generation (RAG) and GraphRAG, equipping participants with the knowledge and skills to build autonomous agents capable of intelligent reasoning, dynamic data retrieval, and real-time decision-making.

Through practical exercises, real-world use cases, and collaborative discussions, you’ll learn how to create applications that leverage external knowledge sources and relational data structures. By the end of the day, you’ll have a solid understanding of RAG and GraphRAG and the ability to integrate these methodologies into production-ready autonomous agents.

In this interactive workshop, participants will delve into the foundational concepts of RAG and GraphRAG, exploring how these technologies can be utilized to develop autonomous agents capable of intelligent reasoning and dynamic data retrieval. The workshop will cover essential topics such as data ingestion, embedding techniques, and the integration of graph databases with generative AI models.
Attendees will engage in practical exercises that involve setting up RAG pipelines, utilizing vector databases for efficient information retrieval, and implementing GraphRAG workflows to enhance the capabilities of their applications. By the end of the workshop, participants will have a comprehensive understanding of how to harness these advanced methodologies to build robust autonomous agents tailored to their specific use cases.

AWS Certified Architect is one of the hottest and most valuable certifications in 2021. Amazon Web Services is one of the most popular cloud platforms around.

Abilities Validated by the Certification are:

– Effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies.

– Define a solution using architectural design principles based on customer requirements

– Provide implementation guidance based on best practices to the organization throughout the life cycle of the project

In this workshop, we will explore the following topics with hands-on labs:

– Design using compute, networking, storage, and database AWS services, EC2, S3 storage, RDS, DynamoDB
– AWS deployment and management services, Cloud Formation, Identity Access Management
– API Gateway, Route 53
– Serverless architecture, AWS Lambda, Step Functions
– Simple Notification Service (SNS), Simple Queue Service(SQS)
– AWS Cloud Watch, AWS CloudTrail
– Identify and define technical requirements for an AWS-based application
– Recommended best practices for building secure and reliable applications on the AWS platform
– Architectural principles of building on the AWS Cloud
– AWS global infrastructure
– Network technologies as they relate to AWS, Virtual Private Cloud
– Security features and tools that AWS provides and how they relate to traditional services

This talk is ideal for the following roles:
Architects
Technical Leads
Programers
Integration Architects
Solution Architects

Please get free tier AWS account from following link:
https://aws.amazon.com/

Secure, Efficient, Resilient, High-performing, Sustainable, and Cost-effective

Are your applications well-architected? This talk will explore the best practices for operational excellence, Security, Reliability, Performance Efficiency, and cost optimization. Think of systems and services which provide business values. Do you know if all of these services are well-architected? You will learn how to create mechanisms, a repeatable process that allows you to improve over time. We will explore the best practices using real-world examples to make them more concrete and actionable.

Well-Architected helps cloud architects build secure, high-performing, resilient, and efficient infrastructure for various applications and workloads. They are built around six pillars—operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.

Join expert Rohit Bhardwaj to gain the knowledge and skills you need to solve current cloud implementation problems.

What you'll learn — and how you can apply it
By the end of this live, hands-on, online course, you'll understand the following:

– How to create responsive, maintainable, extensible architecture

– How to manage identities for people and machines and understand the significance of role-based, service-based, and attribute-based access

– How to design network topology and protect your network resources

– How to design interactions in a distributed system to prevent failures and improve performance and resiliency

– How to select the best-performing architecture and choose performant storage and databases

– How to manage demand and supply resources

– How to take advantage of user behavior patterns to support your sustainability goals

Topics covered:

Design Principles

– Scaling patterns

– Architecture Design Principles

– Capacity calculations

– Impact of data on design decisions

– Shared Responsibility Model

Reliability

– Resilient Architecture principles

– Herds of complex real-time distributed systems

– Hands-on Exercises / Case Studies

– Blast radius- fault isolation to protect your workload

– Availability patterns

– Recovery Point Objective and Recovery Time Objectives

– Data backup data patterns

– Routing Strategies

– Service quotas and constraints

– Design your workload service architecture

– Failure management in a distributed system

– Monitoring workload resources

– Calculating the response times

– Fallacies of Distributed Systems

– Testing reliability

– Cost Optimization

– Design cost-optimized storage

– Cost-optimized compute

– Data transfer costs

– Manage demand and supply resources

– Hands-on Exercises / Case Studies

Sustainability
– User behavior patterns

– Data access and usage patterns

– Development and deployment processes

– Hands-on Exercises / Case Studies

Performance Efficiency
– Select the best-performing architecture

– Choosing performant storage and databases?

– No-SQL for performance

– Caching strategies

– DOS attacks

– Tradeoffs to improve performance

– Evolving your workload

– Handle skewed data

– CDN networks like Cloudfront to solve the caching requirements for static and Dynamic
contents

– Monitor and set alarms for performance and network issues

– Hands-on Exercises / Case Studies

Operational Excellence
– Principles for Perform Operation Infrastructure as code

– Annotate Documentation - PlayBooks - Part of code

– Create Runbooks - Server down

– Capture failures and analyze them using Events and Real-Time Actions

– KPIs for cloud dashboard

– Incidence response - Root Cause Analysis

– Hands-on Exercises / Case Studies

Security, Privacy, and Compliance
– Manage identities for people and machines

– Identify Access Management

 Role-Based, Service-Based, and Attribute-Based Access

– Securely operate your workload.

– Detect and investigate security events

– Web Application Firewall

– Virtual Private Cloud - design network topology

– Protecting your network resources

– Bastion Hosts

– Data classification

– Protecting data in Transit

– Protecting data at Rest

Hands-on Exercises / Case Studies

As a software architect, you're at the forefront of building scalable, secure, and resilient systems that drive innovation while safeguarding critical digital assets. This workshop is designed to equip you with actionable strategies, cutting-edge tools, and deep technical insights into embedding security into every phase of the software development lifecycle.
In this immersive, hands-on session, we will explore how to elevate your DevSecOps practices to meet the challenges of today’s evolving threat landscape while ensuring productivity and operational excellence.

What You'll Learn:

• Integrating Security into CI/CD Pipelines:
Discover how to build efficient, secure workflows that empower teams to deliver faster without compromising security. Learn to implement security gates and automate vulnerability detection with tools like SAST, DAST, and dependency scanning.
• Tracking Metrics for Success:
Understand key DevSecOps metrics such as lead time, deployment frequency, mean-time-to-recover (MTTR), and change fail rate. Learn how observability tools provide actionable insights to optimize performance and reliability.
• Proactive Security with Ethical Hacking:
Dive into penetration testing and simulate real-world attacks to uncover vulnerabilities in your systems before attackers do. Get hands-on with industry-standard tools such as OWASP ZAP.
• OWASP Top 10 for Applications, APIs, LLMs, and Mobile:
  • Applications: Learn to identify and mitigate risks such as injection flaws, broken authentication, and misconfigurations.
  • APIs: Secure APIs with best practices for authorization, schema validation, and rate limiting to combat vulnerabilities like excessive data exposure.
  • LLMs: Explore unique challenges in securing Large Language Models (AI-driven applications), including prompt injection and data leakage.
  • Mobile: Address mobile app vulnerabilities such as insecure storage and transport layer protection, ensuring your applications are robust across platforms.
• Aligning Security with Business Outcomes:
Bridge the gap between technical practices and business goals by aligning DevSecOps with operational KPIs. Demonstrate how secure development drives measurable business value, customer satisfaction, and operational excellence.

Why You Should Attend:

• Hands-On Experience: Participate in live demonstrations of vulnerabilities, attacks, and their mitigation across applications, APIs, LLMs, and mobile systems.
• Cutting-Edge Tools and Techniques: Gain exposure to the latest tools and practices in CI/CD, ethical hacking, and observability.
• Business-Driven Approach: Learn how to connect DevSecOps efforts to organizational success, making security an enabler of productivity.
• Collaborate with Experts: Engage with peers and experts to discuss real-world challenges and share actionable solutions.

Who Should Attend:
This workshop is ideal for:

• Software Architects seeking to embed security into every layer of system design.
• Senior Developers striving to deliver secure, high-performing applications.
• Technical Leads responsible for ensuring compliance and operational excellence in development pipelines.

Join us for this transformative session to gain the skills and knowledge necessary to design secure, scalable, and resilient systems that protect your organization and enable innovation.

Salient Points Architects Will Learn in This Talk

• Shift-Left Security: Embed security early in the CI/CD process to catch and resolve vulnerabilities proactively.
• Key DevSecOps Metrics: Track and optimize lead time, deployment frequency, MTTR, and change fail rate for operational excellence.
• Ethical Hacking: Learn how to simulate real-world attacks to identify and fix vulnerabilities before they become threats.
• OWASP Top 10 Insights: Gain actionable strategies to mitigate risks across applications, APIs, LLMs, and mobile platforms.
• API Security Best Practices: Implement schema validation, token-based authentication, and rate limiting to safeguard APIs.
• AI Security for LLMs: Address unique vulnerabilities in Large Language Models, including prompt injection and data leakage.
• Mobile App Security: Protect mobile systems from insecure data storage and transport vulnerabilities using OWASP Mobile Top 10.
• Business Alignment: Connect DevSecOps practices to measurable business KPIs, demonstrating security’s value in driving success.

This session is a must-attend for architects aiming to design secure, scalable systems while staying ahead in the rapidly evolving security landscape.

As digital ecosystems evolve at breakneck speed, enterprises must reimagine their architectural blueprints—not as static diagrams, but as adaptive, intelligence-driven systems. This talk offers a compelling preview of Enterprise Architecture 4.0, weaving together cutting-edge technologies, strategic foresight, and practical frameworks to prepare architects and technology leaders for the next wave of transformation.

We begin by exploring how Generative AI, Assistive Agents, Predictive Analytics, and Copilot GPTs can be embedded into modern architectures—turning traditional systems into living, learning ecosystems. Attendees will gain foundational knowledge of RAG (Retrieval-Augmented Generation), vector databases, and graph databases—critical for context-aware reasoning, personalization, and intelligent data processing.

Then, using the Gartner Emerging Tech Impact Radar as our compass, we explore the innovations reshaping enterprise software over the next 3–5 years:

Emerging Technologies Shaping the Future
Generative AI & GPT Agents: Beyond code generation—autonomous reasoning, AI coaching, and domain-specific copilots.

Vector & Graph Databases: Powering search, personalization, and relationship-aware AI.

Augmented & Virtual Reality (AR/VR): Enhancing training, field ops, and immersive collaboration.

Edge Computing: Enabling low-latency intelligence and decentralized decision-making at the enterprise edge.

AI/ML at Scale: Mitigating bias, enforcing AI ethics, and integrating ML into business operations.

Blockchain: Ensuring data integrity, supply chain transparency, and smart contract automation.

Autonomous Agents & Advanced Automation: Automating complex workflows through intelligent, multi-modal agents.

We highlight how Enterprise Architecture becomes the navigation system for these innovations—ensuring alignment with business strategy, reducing technical debt, and unlocking agility and resilience.

Key Takeaways & Outcomes
By the end of this session, attendees will:

Understand the strategic shift toward Enterprise Architecture 4.0 and why it’s essential—not optional.

Gain a preview of patterns, principles, and tools to be explored in the 2-day workshop, including AI-first frameworks and modular architectures.

Learn how to integrate emerging technologies like GPT agents, vector search, blockchain, and AR/VR into a unified roadmap.

Discover how to elevate the EA function—from compliance-oriented governance to future-shaping innovation leadership.

Whether you’re preparing for next-gen AI systems, scaling automation, or future-proofing your enterprise strategy, this talk provides the preview and perspective you need to lead with confidence into the AI-driven future.

This talk explores how cutting-edge technologies and trends will shape the future of enterprise software development, creating opportunities for innovation and efficiency. We’ll discuss how to leverage these technologies within an Enterprise Architecture framework to build a robust roadmap that guides enterprises through technological advancements and competitive landscapes.

Introduction

• Overview of the evolving enterprise software development landscape.
• The critical role of Enterprise Architecture in leveraging emerging technologies.
• Setting the stage for a 3-5 year technology roadmap.

Generative AI, Graph Databases, and Vector Databases

• Exploring Generative AI applications in creating dynamic and predictive models.
• Utilizing graph databases for enhanced data relationships and analytics.
• Leveraging vector databases for AI-driven applications and similarity search functionalities.

GPTs and Copilot GPTs

• Introduction to GPT models and their capabilities in software development.
• Applications of Copilot GPTs in automating coding tasks and enhancing developer productivity.
• Future potential and integration strategies for GPT technologies in enterprise solutions.

Augmented Reality (AR) & Virtual Reality (VR)

• Advances in AR and VR for enterprise applications.
• Use cases in training, operations, and customer engagement.
• Positioning AR/VR in the enterprise technology stack.

Edge Computing

• Transitioning from centralized to decentralized computing frameworks.
• Enhancing responsiveness and efficiency in IoT and enterprise applications.
• Edge computing's role in the future enterprise architecture.

Artificial Intelligence & Machine Learning (AI/ML)

• Scaling AI/ML for enterprise-wide solutions.
• Strategic importance of ethical AI and bias mitigation in corporate settings.
• Integration of AI/ML in operational and decision-making processes.

Blockchain Technology

• Blockchain's potential beyond cryptocurrencies in enterprise applications.
• Enhancing security and transparency in supply chains, finance, and contracts.
• Strategic incorporation into the enterprise IT landscape.

Agents and Advanced Automation

• The role of software agents in automating complex processes and interactions.
• Integration of agents with existing AI systems to create more autonomous and intelligent systems.
• Future trends in automation and how they reshape enterprise workflows.

Preparing for the Future

• Building a flexible, adaptive IT strategy that accommodates fast-paced technological changes.
• The role of Enterprise Architecture in ensuring alignment with business goals.
• Steps for developing a forward-looking technology roadmap.

Graph technology has emerged as the fastest-growing sector in database systems over the past decade—and now, it's at the heart of AI transformation. This talk explores the strategic imperative of mastering graph technologies for professionals designing intelligent systems, optimizing codebases, and architecting future-ready enterprises.

Mastering graph databases, knowledge graphs, and advanced algorithms is no longer a niche skill—it's foundational to enabling AI use cases, powering semantic search, driving recommendation engines, and orchestrating Retrieval-Augmented Generation (RAG) with high precision.
In this comprehensive session, we'll explore high-level graph algorithms that form the backbone of modern, complex systems and discuss how these algorithms are integral to the architecture of efficient graph databases. We will delve into the advanced functionalities and strategic implementations of knowledge graphs, illustrating their essential role in integrating disparate data sources, empowering AI applications including generative AI, and enhancing business intelligence.

Join us to navigate the complexities and opportunities this dynamic field presents, ensuring you remain at the cutting edge of technology and continue to drive significant advancements in your projects and enterprises.

What You’ll Learn:
Advanced Graph Algorithms
Concise review of key graph theory concepts tailored for AI and data engineers.

Application of algorithms like Greedy, Dijkstra's, Bellman-Ford, and PageRank for real-world graph optimization, pathfinding, and influence modeling.

Graph Database Architecture
Comparison of graph vs. relational models for large-scale, interconnected data.

Best practices in data modeling, indexing, and query performance tuning in platforms like Neo4j, TigerGraph, and Amazon Neptune.

Mastery of Knowledge Graphs
How to build and scale enterprise-grade knowledge graphs for semantic search, personalization, and intelligent recommendations.

Role of ontologies, entities, and relationships in structuring organizational knowledge.

Graph-RAG and AI-Enhanced Use Cases
Deep dive into Graph-RAG (Graph-enhanced Retrieval-Augmented Generation): combining structured knowledge graphs with unstructured retrieval to power trustworthy, explainable generative AI.

Use cases:

Domain-specific copilots with traceable knowledge lineage.

AI assistants that reason over connected knowledge.

Compliance-aware search and recommendations.

Customer 360 + Agent 360 views for enterprise workflows.

Case Studies and Future Technologies
Real-world case studies of graph adoption in healthcare, finance, e-commerce, and public sector AI.

Preview of emerging trends:

Graph Neural Networks (GNNs)

Hybrid vector–graph databases

Multimodal reasoning over structured + unstructured data

Outcomes & Takeaways:
By the end of this session, you will:

Understand why graph mastery is foundational for AI and system innovation.

Learn to architect performant, scalable graph systems for enterprise use.

See how Graph-RAG bridges structured knowledge and LLMs to deliver smarter AI assistants.

Be equipped to apply graph technologies to drive innovation, efficiency, and AI trustworthiness in your own organization.

Enterprise Architecture helps in describing what is the current state and helps build a future roadmap. Come prepared to solve many Enterprise Architecture challenges.

As part of the journey, we will explore TOGAF to build our architecture. First, we will create a Baseline Architecture. Next, we will explore the path for the Target Architecture. Finally, after identifying gaps between the two, we will apply a step-by-step process to prepare a roadmap.

“Organizations no longer want their enterprise architecture (EA) practice to be focused on standards, structure and control,” says Marcus Blosch, research vice president at Gartner.

“They want an EA practice that is focused on driving business outcomes, working in a flexible and creative way to help define the future and how to get there.”

We will explore the following domains:

– Data

– Technology

– Application

– Business
This talk will help you build a long-term IT Strategy which matches your Business Strategy.

Mastering the AI-First System Design Methodology is a must-attend talk for developers and architects seeking to elevate their system design capabilities in the era of intelligent systems. In this dynamic 90-minute session, attendees will embark on a comprehensive journey through the foundational principles of modern system design—now reimagined for AI integration—with a practical focus on the C4 model and its application to AI-enabled architectures.

This session is designed to equip professionals with the frameworks and tools necessary to build scalable, efficient, AI-aware systems that deliver lasting impact in a rapidly evolving digital ecosystem.

We'll begin by exploring the critical importance of understanding business requirements and stakeholder intent—an essential step in designing systems that align human values with machine intelligence. From there, we’ll guide attendees through a structured, AI-augmented design methodology: from stakeholder engagement and context modeling to system decomposition and refinement using LLMs and generative AI assistants.

Each stage will be brought to life with real-world examples, hands-on exercises, and interactive discussions—demonstrating how AI can accelerate ideation, automate documentation, optimize decisions, and identify design flaws early in the process.

Special focus will be given to incorporating empathy maps, value chain analysis, and customer journey mapping, enhanced with AI-driven pattern recognition and predictive insights. These tools enable deeper understanding of user behavior and business dynamics, resulting in more responsive and adaptive system architectures.

Whether you're a seasoned architect embracing AI-driven transformation or a developer ready to future-proof your design thinking, this talk will deliver actionable insights into building robust, intelligent, and human-centric systems. Join us to reimagine system design through the lens of AI—and become a key innovator in your organization’s AI-first journey.

The Importance of System Design

• The role of system design in software development
• Examples of project successes and failures

Overview of System Design Methodology

• Introduction to System Design Methodology
• The C4 Model: Context, Containers, Components, and Code

Deep Dive into the Methodology Stages

* Engage with Business Stakeholders
    * Techniques for engagement and prioritization
    * Case Study: A startup's journey to understand market needs

* Identify Vital Business Capabilities
    * Mapping business capabilities
    * Case Study: Streamlining operations for a logistics company

* Understand the Internal and External Personas
    * Using empathy maps and customer journey mapping
    * Case Study: Designing a healthcare app with patient and provider personas

* Develop a New Value Proposition
    * Crafting value propositions
    * Case Study: Innovating retail experience with a new e-commerce platform

* Define Solution Architecture
    * Detailing architecture and capability modules
    * Case Study: Architectural overhaul for a financial services firm

* Define Component Process Flows
    * Visualizing interactions and process flows
    * Case Study: Enhancing the order fulfillment process for an online retailer

* Review, Refine, and Finalize
    * Consolidating insights and preparing for implementation
    * Case Study: Finalizing and launching a new feature for a social media platform

“By 2030, 80 percent of heritage financial services firms will go out of business, become commoditized, or exist only formally but not competing effectively”, predicts Gartner.

This session explores the integration of AI, specifically ChatGPT, into cloud adoption frameworks to modernize legacy systems. Learn how to leverage AWS Cloud Adoption Framework (CAF) 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework to build cloud-native architectures that maximize scalability, flexibility, and security. Designed for architects, technical leads, and senior IT professionals, this talk provides actionable insights and strategies for successful digital transformation.

Cloud adoption frameworks are essential for accelerating digital business transformation by leveraging the power of cloud technologies. This talk will guide you through the AWS Cloud Adoption Framework (CAF) 3.0, Microsoft Cloud Adoption Framework for Azure, and Google Cloud Adoption Framework, focusing on building cloud-native architectures that ensure scalability, flexibility, and security.

The session will delve into the strategic role of AI, particularly ChatGPT, in modernizing legacy systems. By understanding and implementing these frameworks, you will learn to navigate the complexities of transitioning from legacy systems to modern cloud-based architectures. This talk will provide practical steps and real-world case studies to help you effectively plan and execute your cloud adoption strategy.

Legacy systems can be assets and obstacles, providing reliable functionality but often becoming burdensome to maintain and evolve. In this talk, we will confront the challenges of working with legacy architectures and discover the strategic approaches for modernization. By examining the benefits and risks of incremental migration versus full system rewrites, attendees will learn the most suitable path for their unique situations.
Through practical examples and case studies, we will explore how successful organizations have revitalized their aging architectures, preserving the value of legacy investments while embracing innovation and adaptability. From small-scale legacy components to large-scale monolithic systems, we'll cover diverse modernization scenarios, allowing participants to glean insights applicable to their projects.
Whether your organization is facing budget constraints, a need for rapid modernization, or concerns about maintaining critical functionality, this talk offers a comprehensive guide to navigating the legacy landscape and crafting a roadmap to rejuvenate aging architectures.

Agenda:

Introduction:

• Overview of the session
• Importance of cloud adoption frameworks in digital transformation
• Introduction to AI and ChatGPT in modernizing legacy systems

Understanding Cloud Adoption Frameworks:

• Overview of AWS Cloud Adoption Framework (CAF) 3.0
• Introduction to Microsoft Cloud Adoption Framework for Azure
• Introduction to Google Cloud Adoption Framework
• Key components and benefits of each framework

Strategic Role of AI in Legacy Modernization:

• How AI, particularly ChatGPT, is revolutionizing the modernization of legacy systems
• Benefits of integrating AI in cloud adoption frameworks

Steps for Moving Legacy Systems to the Cloud:

• Assessing legacy systems and identifying modernization opportunities
• Using CAF frameworks to plan and execute migration strategies
• Incremental migration vs. full system rewrites
• Ensuring compliance, security, and performance during the transition

ChatGPT's Role in Legacy Analysis:

• Utilizing ChatGPT for analyzing legacy code
• Aiding in documentation and understanding complex, outdated codebases
• Practical examples of ChatGPT in legacy modernization

Building Cloud-Native Architectures:

• Designing scalable, flexible, and secure cloud-native solutions
• Leveraging cloud-native services and best practices
• Implementing continuous integration and continuous delivery (CI/CD) pipelines

Case Studies and Real-World Applications:

• Examples of successful legacy system modernizations using AI and cloud frameworks
• Lessons learned and best practices from leading organizations

Practical Tips and Best Practices:

• Actionable advice for managing and optimizing cloud migration
• Strategies for ensuring successful digital transformation

Conclusion and Q&A:

• Recapitulation of key takeaways
• Addressing final questions and facilitating discussions with the audience
• Highlighting the future of AI and cloud adoption in modernizing legacy systems

Participants will leave this session equipped with a robust understanding of how to leverage AI, particularly ChatGPT, in the context of legacy system modernization. You will gain strategic insights, practical tools, and actionable knowledge to lead your teams and projects towards successful, AI-enhanced modernization efforts, ensuring your organization remains competitive and agile in a rapidly evolving digital landscape.

We are all familiar with the 3rd Normal form. Does that scale? What are the best practices for designing resilient, multi-tenant, performant databases? In this talk, we will explore the database evaluation process, where we will make choices on technology stacks based on requirements and analyzing the CAP theorem. We will discover different Consistency, Availability, and Partition Tolerance techniques, investigate No-SQL databases, and help new cloud deployments using the 3rd Platform.

Big data has characteristics in the new Cloud domain, which requires storing various data for different use-cases. We will explore the Document data store, Key-value, Columnar NoSQL, Graph NoSQL and NewSQL databases.
Next, we will look at how to do data modeling for NoSQL columnar databases to support highly available partition tolerant use-cases. We will discover different strategies to help multi-tenant requirements. In the end, we will look at how to choose the right database? We will also see what the future of Databases are comparing based on Consistency Models, Schema Models, Database Languages, and Database storage.

We will look at data quality patterns and issues and how to use MDM strategy to fix these issues. We will explore survivor ship records and how to validate if the data is correct in system. In the end we will also look at GDPR and PII data strategies.

We will be exploring following databases types:

• Key-value stores

• Wide column stores

• Document stores

• Time Series DBMS

• Graph DBMS

• Object oriented DBMS

• Search engines

• RDF stores

• Spatial DBMS

• Event Stores

• Content stores

A few of the technologies we will explore are

• Cassandra

• Amazon DynamoDB

• MongoDB, HBase

• REDIS, MemcacheDB,

• RDF / SPARQL

• Graph Databases, Neo4J

• CockroachDB

This talk is ideal for the following roles:

• Architects

• Technical Leads

• Programers

• Integration Architects

• Solution Architects

This is a dynamic session exploring the integration of cutting-edge AI technologies into software architecture. This talk provides senior developers and architects with actionable insights on leveraging large language models like ChatGPT to enhance design processes, manage architectural tradeoffs, and achieve scalable, innovative solutions.

Overview of the session

Importance of large language models (LLMs) in software architecture
Introduction to ChatGPT and its relevance for software architects

Part 1:
The Role of Large Language Models in Software Architecture
Understanding the capabilities of LLMs like ChatGPT
Benefits of integrating LLMs in modern software development
Real-world examples of AI-enhanced software architecture

Part 2: Prompt Engineering for Architectural Tasks
Crafting effective prompts for ChatGPT
Strategies for creating precise and effective prompts
Examples of architectural prompts and their impact
Interactive Exercise: Participants craft and test their own prompts
Feedback and discussion on prompt effectiveness

Part 3: Optimizing Requirement Analysis with ChatGPT
Leveraging ChatGPT for requirement analysis and design
Integration of AI in empathizing with client needs and journey mapping
Cost estimations, compliance, security, and performance
Case Study: Using empathy map and customer journey map tools in conjunction with AI
Hands-On Exercise: Requirement analysis and design

Part 4: Managing Architectural Tradeoffs
Defining and understanding architectural tradeoffs
Exploring real-world tradeoff scenarios
Case Study 1: Scalability vs. Flexibility
Case Study 2: Time-to-Market vs. Maintainability
Leveraging AI insights to analyze tradeoffs
Group Discussion and Q&A

Part 5: Best Practices for Integrating AI in Software Architecture
Techniques for gathering and prioritizing project requirements
Aligning architectural decisions with business objectives
Evaluating risks and potential outcomes of tradeoffs
Assessing tools, technologies, and architectural patterns
AI-powered decision support with ChatGPT
Collaborative decision-making and involving stakeholders

Part 6: Achieving Sustainable Innovation
Leveraging tradeoffs to drive innovation and creativity
Recap of key points and takeaways
Panel Discussion with Industry Experts
AI in architectural innovation: ChatGPT in action
Q&A and Open Discussion with the Audience
Conclusion

Recapitulation of key takeaways
Addressing final questions and facilitating discussions with the audience
Highlighting the future of AI and big data with technologies like ChatGPT

Resilient architecture is fundamental when working in distributed, cloud-based systems. Designing and architecting large-scale applications managing millions of requests brings unique challenges with availability, performance, and integration. You will need to make difficult choices and evaluate tradeoffs. Luckily, you can use different architecture patterns to make a distributed application more resilient. Based on evolutionary architecture, this approach enables you to create systems designed to evolve with the ever-changing software development ecosystem. Resilient architecture patterns will allow you to create systems that continue functioning even when components fail.

Join expert Rohit Bhardwaj to learn how to implement an evolutionary architecture approach and understand resilient architecture patterns. This training will explore architecture decisions you may need to make when evaluating your architecture to improve performance and resiliency. For example, you will no longer struggle to handle millions of requests per second or face issues when routing traffic.
What you'll learn — and how you can apply it

By the end of this live, hands-on, online course, you'll understand the following:
How to create responsive, maintainable, extensible architecture from resilient, elastic design utilizing message-driven services

How to design cost-effective Recovery Point Objectives (RPOs) and Recovery Time Objectives (RTOs)

How to identify blocking issues with microservices in the cloud

How to evaluate caching strategies that can help lower costs and protect from DOS attacks

And you'll be able to:

Design high availability, high scalability, low latency, and resilient architectures.

Analyze and review implementations.

Identify key scalability challenges in your company.

Prevent cascading failures and preserve functionality.

This training is for you because…

You have an existing need to evaluate your current architecture.

You want to understand best practices.

You need to design new systems and want to evaluate which pattern to use.

Prerequisites

Basic knowledge of software architecture

Familiarity with design principles

Thinking application as stateless for all the API calls makes the system available most of the time and requires creating a cache for common distributed data. Next, we examine how to deal with cascading failures and timeout scenarios. As part of auto-healing, applications need to Detect, Prevent, Recover, Mitigate, and Complement so that the service is resilient.

The key takeaways for the audience are as follows:

*Resiliency is essential for any feature in the cloud.

*Understanding the value chain is critical to identifying failure points.

*Challenges come in determining if there is a failure and designing the system for auto-
healing

*The focus should be first to prevent a failure from occurring.

*Identifying critical challenges in your company and tools and techniques to auto-heal and provide a sustainable solution

Course Schedule

Evolutionary Architecture:

– Scaling to 100 million customers

– Understanding Requirements - Empathy Map

– Fail Points

– Defining KPIs

Resilient Patterns:

– BulkHead pattern

– Routing Strategies

– Design Issues with Microservices

– API Gateway Pattern

– Database per Service Pattern

– Database Sharding Patterns

– Fan out Pattern

– Publish-Subscribe Pattern

– Command Query Responsibility Segregation (CQRS)

– Message filter pattern

– Topic-queue-chaining Pattern

– Message Partitioning Patterns

– Priority Queue Pattern

Caching:

– Caching and Failure Injection

– Distributed system challenges

– Caching Patterns

– Order in Chaos

– Resilient Steps

– Resources

With advanced AI tools, software architects can enhance their project design, compliance adherence, and overall workflow efficiency. Join Rohit Bhardwaj, an expert in generative AI, for a session that delves into the integration of ChatGPT, a cutting-edge generative AI model, into the realm of software architecture. The session aims to provide attendees with hands-on experience in prompt engineering for architectural tasks and optimizing requirement analysis using ChatGPT. It is a compelling talk explicitly designed for software architects who are interested in leveraging generative AI to improve their work.

Outline:
Introduction

A brief overview of the session.
Importance of generative AI in software architecture.
Introduction to ChatGPT and its relevance for software architects.

Prompt Engineering for Architectural Tasks

Crafting Effective Prompts for ChatGPT
Strategies for creating precise and effective prompts.
Examples of architectural prompts and their impact.
Hands-On Exercise: Creating Architectural Prompts
Interactive session: Participants will craft and test their prompts.
Feedback and discussion on prompt effectiveness.

Optimizing Requirement Analysis

Leveraging ChatGPT for Requirement Analysis and Design
Integration of AI in empathizing with client needs and journey mapping.
Cost Estimations, Compliance, Security, and Performance
Selecting appropriate technologies and patterns with AI assistance
Hands-On Exercise: Requirement Analysis and Design
Case Study
Using Empathy Map and Customer Journey Map tools in conjunction with AI.
Case Study Cost Estimations, Compliance, Security, and Performance

Custom GPTs, Embeddings, Agents

Key Takeaways:
Enhanced understanding of how generative AI can be used in software architecture.
Practical skills in prompt engineering tailored for architectural tasks.
Strategies for effectively integrating ChatGPT into requirement analysis processes.

Join us for an immersive journey into the heart of modern cybersecurity challenges. In this groundbreaking talk, we delve into the intricacies of securing your digital assets with a focus on three critical domains: applications, APIs, and Large Language Models (LLMs).

As developers and architects, you understand the paramount importance of safeguarding your systems against evolving threats. Our session offers an exclusive opportunity to explore the industry-standard OWASP Top 10 vulnerabilities tailored specifically to your domain.

Uncover the vulnerabilities lurking within your applications, APIs, and LLMs, and gain invaluable insights into mitigating risks and fortifying your defenses. Through live demonstrations and real-world examples, you'll witness firsthand the impact of security breaches and learn proactive strategies to combat them.

Whether you're a seasoned architect seeking to fortify your organization's security posture or a developer striving to build resilient systems, this talk equips you with the knowledge and tools essential for navigating the complex landscape of cybersecurity.

Agenda

• OWASP Top 10 Overview

  • Introduction to OWASP
  • Significance of OWASP Top 10
  • Overview of OWASP Top 10 for Applications, APIs, and LLMs

• OWASP Top 10 for Application Security

  • Presentation: Common Vulnerabilities and Mitigation Strategies
  • Demonstration: Live Examples of Application Security Vulnerabilities

• OWASP Top 10 for API Security

  • Presentation: Key Challenges in API Security and Best Practices
  • Demonstration: Illustration of API Security Vulnerabilities and Attacks

• OWASP Top 10 for LLM Applications (Large Language Models)

  • Presentation: Unique Security Concerns in LLM Applications
  • Demonstration: Showcase of LLM Security Vulnerabilities and Risks

• Q&A and Discussion

  • Open Floor for Questions and Discussion

• Conclusion

  • Summary of Key Takeaways
  • Call to Action: Implementing Security Best Practices

This talk will explore why Spark is the most prominent solution compared to Hadoop. We will look at MapReduce and how Spark makes the creation of Big Data algorithms simple and faster. Next, we will explore Spark Context and how Resilient Distributed Dataset (RDD) helps establish Directed Acyclic Graph (DAG); Transformations using map and filter; Actions using collect, count, and reduce. Later we will explore the Spark Cassandra connector. We will look at Spark API and Spark SQL.

Key takeaways from this talk will be for a developer and architect to understand how Apache Spark and Apache Cassandra help implement enterprise-level analytical solutions. It is 100x faster than Hadoop!

The key takeaways from this talk will be for a developer and architects to understand:

• Start using Spark to solve computation problems like a pro
• Understand how companies are using Spark and Cassandra combination
• How Apache Spark and Apache Cassandra help in implementing enterprise-level analytical solutions.

We are all proud of being the best coders, but have we analyzed our code for optimization? What tools can help us guide toward creating algorithms with better time and space complexity?

How you approach a problem is critical. How do you solve the problem? How do you optimize the problem?

In this talk/workshop, we will be exploring the analytical skills and coding skills of the top algorithms and common problems from the real world, including Single Source Shortest Paths, Travelling Salesman problems, Pattern Search Algorithms, Greedy Algorithms, KnapSack problem, and priority queue. Problem-solving skills are valuable and help develop optimal algorithms. We will look at problem-solving flow charts to make the right decisions for a given problem.