AWS Builders Online Series

The unique global cloud infrastructure provided by AWS is instrumental in facilitating the development of robust, accessible, secure, scalable, and fault-tolerant applications. Join this session to learn how AWS continually enhances and expands its global infrastructure through the introduction of additional Regions, Availability Zones, and how it integrates custom hardware tailored to the requirements of modern applications. We discuss how the establishment of a purpose-built global network backbone enables connectivity between the different sites. Discover how the implementation of innovative energy management systems provide efficient, resilient services while minimizing environmental footprint. Learn how AWS is committed to delivering reduced latency, heightened reliability, enhanced scalability, and improved operational efficiencies, all geared towards empowering your organization with the ability to succeed in the rapidly evolving demands of modern applications, including those driven by advanced AI technologies.

Speaker: Vijay Menon, Principal Solutions Architect, AWS

Modern applications are built with a combination of modular architecture patterns, serverless operational models, and agile processes. They allow organizations to innovate faster while reducing risk, time to market, and total cost of ownership. In this session, we cover the benefits and wide range of options available with application modernization on AWS using the broad portfolio of container and serverless technologies and how they are used in the key modern application use cases.

Speaker: Cameron Senese, Principal Container Specialist, AWS

Serverless computing allows you to build and run applications without the need for managing servers. You can develop web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more, without worrying about the infrastructure. In this session, we show you how to get started with serverless computing using AWS Lambda. With Lambda, you can run your code without provisioning or managing servers. Discover why serverless is an excellent toolset for experimenting with new ideas and how the modularity and extensibility of serverless applications enable you to start small and quickly add features. We introduce you to the broader portfolio of AWS services that can help you build serverless applications with AWS Lambda, including Amazon API Gateway, Amazon DynamoDB, and more. Additionally, we use the AWS Serverless Application Model (AWS SAM) tool to build our serverless applications and deploy them via code.

Speaker: Tomas Mihalyi, Serverless Specialist (Enterprise Support), AWS

AWS App Runner simplifies the deployment of web applications and APIs to the cloud, regardless of the programming language used. This means that even teams with no prior experience in container deployment or infrastructure management can easily deploy their applications. In this session, we show you how to build and deploy containerized web applications on AWS App Runner. Learn how App Runner automatically scales your application based on requests and load-balances traffic, making it ideal for applications that experience unpredictable traffic spikes.

Speaker: Tuan Huynh, Cloud Application Architect, AWS

Observability is a practice that provides builders and developers with better insights into application behavior, enabling earlier identification, and rectification of application defects. In this session, we outline the steps to effective implementation of observability for modern applications. We then walk through how to enhance your application observability. Discover the tools and resources so you are empowered to rapidly identify, diagnose, and remediate application issues. We demonstrate on a Java app how logs, metrics, traces work by default, without any external libraries. The session concludes with the showcase on how to use AWS Lambda Powertools for Java to add logging, metrics, and traces to the application and run log insight queries for common use cases.

Speaker: Abhishek Gupta, Principal Developer Advocate, AWS India

AWS and its partners have successfully guided hundreds of thousands of customers through cloud migration and modernization over the past 19 years. Drawing from this extensive experience, we have identified key patterns for successful migrations as well as common anti-patterns to take note of. In this session, we walk through the three-phase AWS migration process: Assess, Mobilize, as well as Migrate and Modernize. By leveraging real-life customer examples, we share best practices, anti-patterns, and provide strategies to mitigate potential challenges. By the end of this session, get a clear understanding of how to approach your cloud migration and modernization efforts for maximum efficiency and success.

Speaker: Blair Layton, Principal Transformation Business Development Manager, AWS

Many organizations are migrating and modernizing their workloads to the cloud for agility, increased performance and resilience. But modernizing applications often involves critical tasks such as breaking a monolith into microservices, adopting the right design patterns, data migration, and handling dependencies on legacy interfaces. In this session, we outline the different modernization pathways and services to get to the target architecture based on engagements with thousands of customers. We share key tools, programs, and resources from AWS to transform your existing applications and infrastructure into higher-value, cloud-native services. We also discuss how you can combine with agile processes deliver value more quickly, frequently, and reliably.

Speakers: 
Satheesh Kumar, Principal Solutions Architect, AWS India
Manikandan Chandrashekaran, Principal Technologist, AWS India

In this session, we share the comprehensive suite of services from AWS which enables you to efficiently store, process, analyze, and act from their data. We dive deep into the key areas including data transfer, storage for data lakes, data warehousing, integration, and governance. We also share the analytics, visualization capabilities, and how to deliver innovative outcomes with AI and machine learning services on AWS. Learn the best practices for designing scalable, secure, and cost-effective data architectures, strategies for future-proofing your data foundation to support emerging technologies including generative AI. By the end of the session, understand how to build a strong data foundation that provides you with clean, organized, and easily accessible data for better decision-making and business insights.

Speakers:
William Wong, Principal Database Solutions Architect, AWS
Paul Villena, Senior Analytics Solutions Architect, AWS

The idea of one-size-fits-all monolithic database no longer fit today, as more organizations build highly distributed applications using many purpose-built databases. We observe an increasing number of customers wanting to build internet-scale applications that require diverse data models. In response to customers’ needs, AWS offers the choice of key-value, wide column, document, in-memory, graph, time-series, and ledger databases, with each database catering to specific use cases and requirements. In this session, find out the AWS purpose-built database that meet the scale, performance, and manageability requirements of modern applications.

Speaker: Gopalakrishnan Subramanian, Principal Database Solutions Architect, AWS India

Extract, transform, and load (ETL) is the process of combining, cleaning, and normalizing data from different sources to get it ready for analytics, AI/ML workloads. But traditional ETL processes can be time-consuming and complex to develop, maintain, and scale. In this session, we share how zero-ETL eliminates the need for complex ETL data pipelines by enabling direct data movement and federated querying across databases, data lakes, and external sources. Learn how the integration of Amazon Aurora with Amazon Redshift allows near real-time analytics and ML on transactional data stored in Amazon Aurora MySQL-Compatible Edition, without building data pipelines. We then demonstrate Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service to perform tasks such as full-text search, fuzzy search, auto-complete, and vector search for machine learning (ML) capabilities to offer new experiences that boost user engagement and improve satisfaction with their applications. By end of session, understand how zero-ETL architecture on AWS empowers users to focus on extracting value from data rather than pipeline development.

Speakers: 
Surendar Munimohan, Senior Database Solutions Architect, AWS
Paul Villena, Senior Analytics Solutions Architect, AWS

Everything begins with an idea. But how do you accelerate that initial spark to final product? Successful generative AI implementation requires aligning people, processes, and technologies. We explore how to build the end-to-end strategy to develop that alignment, build right skills, establish scalable workflows, and deploy the appropriate technologies. Find out how to build the business use cases with generative AI to advance your organizational objectives including reinventing applications, creating innovative customer experiences, and improving productivity. By the end of the session, learn how to ideate, prototype, and deliver products and services quickly.

Speaker: Melanie Li, Senior Generative AI Specialist, AWS Generative AI Innovation Center

AI/ML techniques are important fundamentals for organizations looking to reinvent customer experiences and deliver their objectives. However, applying the right techniques to the use cases is not easy. This session provides guidance on how to apply practical and proven AIML techniques on key use cases for real business impact. We outline existing traditional AI and emerging generative AI suite of services to help you understand when and what services are best suited for the key application requirements or use cases across business functions and industries. We share best practices on how to future-proof your stack and ensure flexibility and control within your organization. This session concludes with how to apply technologies to your use cases, enabling you to conceptualize new opportunities, achieve competitive advantage, and deliver organizational outcomes.

Speaker: Melwin Pais, Senior Solutions Architect, AWS

At AWS, we continuously innovate and introduce new services and features to support the evolving needs of our customers. Join this demo-packed session which focuses on Amazon Bedrock, Amazon Q, and Amazon SageMaker. We provide the overview of each service, highlighting their unique capabilities and use cases. Through demos, understand how to select foundation models in Amazon Bedrock and Amazon SageMaker JumpStart. We also showcase Amazon Q's ability to provide instant, relevant information, explaining how it can streamline tasks, accelerate decision-making, and foster innovation in your workplace. The session includes practical aspects of model evaluation, and cover the process of shortlisting candidate models for proof-of-concept work. We also cover key considerations for selecting the right tools based on your specific needs, enabling you to make informed decisions for your AI/ML initiatives.

Speaker: Paul Colmer, Senior AWS Technical Instructor, AWS

Machine learning can enable organizations of various industries and sizes to solve business challenges and achieve better outcomes. However, many struggles to implement ML effectively throughout the organization beyond their technical users. In this session, we showcase how you can use Amazon SageMaker Canvas to complete the ML lifecycle — from preparing data and creating models to generating predictions, without writing a single line of code. Find out how technical and non-technical users in your organization can utilize ready-to-use models or create your own to gain insights from your data and ML models with Amazon SageMaker Canvas. We then demonstrate how to easily access open-source and Amazon LLMs on Amazon SageMaker Canvas through a single interface. The session concludes with guidance on how you can build, deploy, and use a variety of ML models including tabular, computer vision, and natural language processing without requiring deep machine learning knowledge.

Speaker: Tom Liu, Senior Technical Account Manager, AWS

Generative AI presents significant opportunities for organizations across multiple industries. While it can be a force for good, it is important to build generative AI responsibly, securely, and achieve the right balance between innovation and safety. In this session we discuss the key considerations on how to use generative AI responsibly, including fairness, explainability, robustness, privacy, security, governance, and transparency. We dive deep into the operational security features of key AI/ML solutions such as Amazon Bedrock, Amazon Q, and Amazon SageMaker JumpStart. Find out how these solutions provide you with built-in security, privacy, encryption, access control, and compliance, making it easier for you and your organization to build generative AI responsibly into your workflows while maintaining security, as well as adhering to the risk and compliance regulations.

Speaker: Simon Cozen, Senior Enterprise Solutions Architect, AWS

Join Donnie Prakoso, Principal Developer Advocate, AWS and Matt Coles, Principal Engineer, AWS at the first Builders Online Series spotlight session as they share about cloud builder journey and how to be a proficient AWS builder. They will also share more about the rest of the learning tracks offered and how you can benefit from them. 

Speakers: 
Donnie Prakoso, Principal Developer Advocate, AWS
Matt Coles, Principal Engineer, AWS

Join Matt Coles, Principal Engineer, AWS, and Sam Zhang, Security Specialist Technical Account Manager, AWS for an insightful spotlight session as they cover essential security concepts like defense in depth and threat modeling through engaging whiteboarding and discussion sessions. Gain valuable tips and learn about AWS tools to enhance security at every level of your workloads. Plus, you’ll get the latest updates on AWS security.

Speakers: 
Matt Coles, Principal Engineer, AWS
Sam Zhang, Security Specialist Technical Account Manager, AWS

Explore the potential of generative AI on AWS with an in-depth overview, including the key differences between generative and traditional AI, common use cases, and more. Join Donnie Prakoso, Principal Developer Advocate at AWS and Mike Chambers, AI Specialist Senior Developer Advocate, AWS for interactive demos showcasing the latest and greatest in generative AI from AWS.

Speakers: 
Donnie Prakoso, Principal Developer Advocate, AWS
Mike Chambers, AI Specialist Senior Developer Advocate, AWS

Join Donnie Prakoso, Principal Developer Advocate, AWS and Krithika Kumarappan, Technical Account Manager, AWS at this spotlight session as they share about tools like AWS Skill Builder, AWS Free Tier, and AWS Workshops. Get tips you can try on your own for continuous learnings and gain hands-on experience. The session also includes interactive demos showcasing the tools shared. 

Speakers: 
Donnie Prakoso, Principal Developer Advocate, AWS
Krithika Kumarappan, Technical Account Manager, AWS