Modernizing Legacy Enterprise Apps with AWS Serverless

Listen this one hour podcast to get an foundational understanding of Networking Services provided by AWS that helps with Modernizing legacy apps and for new application development.

With the Oracle Database @ AWS officially announced recently, AWS provides the optimal platform for deploWith the Oracle Database @ AWS officially announced recently, AWS provides the optimal platform for deploying Oracle 23ai with full AI Vector Search capabilities. The architecture leverages Oracle’s Exadata infrastructure deployed directly within AWS data centers, providing dedicated hardware optimized for database and AI workloads, while maintaining seamless integration with AWS Services.

https://builder.aws.com/content/31MnN0Gw4qSWEZy9KVapw6kfoSS/oracle-ai-vector-search-architecture-on-aws

I’ve been attending Oracle Yatra in July 2025 in Bengaluru, and AI and Multicloud are core concepts discussed, along with Oracle Database concepts. It’s interesting to see how Oracle is encouraging a multicloud strategy and AI capabilities within the Oracle ecosystem. In this article, we will discuss an overview of the Oracle Multicloud Strategy through Oracle @ AWS.

https://builder.aws.com/content/31MWAULLazXegTJlsNVw8q36FLM/oracle-multicloud-a-new-era-with-oracle-databaseaws

If you've been to any tech conferences lately, especially around generative AI and cloud, you've likely heard this buzzword. Today, we're breaking down what MCP servers are, why they're crucial for advanced AI applications, and how you can confidently deploy and even build them, particularly within an enterprise AWS ecosystem.

This episode assumes you have a foundational understanding of LLMs and cloud architecture, and while our examples lean into AWS and .NET, the concepts are broadly applicable. So, let's jump right in!

1. Introduction to MCP Servers: We'll start by setting the stage, explaining what MCP servers are and why they've become so relevant in the world of AI, especially as of mid-2025.

2. The Core Idea of MCP Protocol: We'll break down the fundamental concept behind the MCP protocol, which standardizes how Large Language Models (LLMs) interact with external tools and data, freeing LLMs to focus on intelligence.

3. Anatomy of an MCP Application: We'll look at the higher-level components of an application using an MCP server, including the application itself, the MCP client, and the server's key elements: resources, actions, and prompts.

4. Tackling Enterprise Integration Challenges: A critical discussion on how authentication has evolved for MCP servers, from basic keys to robust OAuth 2.1 and Resource Servers, enabling secure enterprise integration with identity providers like Amazon Cognito.

5. AWS's Blueprint for Enterprise MCP Deployments: We'll walk through AWS's recommended architecture for securely deploying MCP servers, covering everything from CloudFront and AWS WAF to ALBs, authentication services, and serverless compute options like Fargate and Lambda.

6. The Next Evolution: MCP with Amazon Bedrock AgentCore: Discover how AWS Bedrock AgentCore further streamlines agent development and MCP server management, offering specialized runtimes, gateways, and built-in identity and observability.

7. Real-World MCP Server Examples: We'll highlight the growing popularity of MCP servers by examining a practical use case: the AWS Documentation MCP Server, and how it empowers AI assistants with real-time, accurate knowledge.

8. Building Your Own MCP Server in .NET (High-Level): For our developer listeners, we'll provide a concise, step-by-step guide on how to get started building your own MCP server using .NET, from setting up your web app to defining your AI's capabilities.

In this episode we discuss how to take advantage of Redis AI and MCP features in AWS.

Reference : https://builder.aws.com/content/2iBDCZGYnl32D7VclPJGxs9Pofs/leveraging-redis-services-on-aws

Join us as we explore the power of Amazon EventBridge, a versatile tool that simplifies building scalable and responsive event driven applications.

In this 1-hour deep dive, understand the programmatic integration with Amazon Bedrock. Discover the diverse methods at your disposal, from harnessing AWS CLI and SDKs to empowering your applications and automation environments.

We'll explore:

Tune in on your favorite platform – earphones recommended for optimal sound.

This audio podcast is your essential guide to infusing intelligence into your enterprise applications with Amazon Bedrock. Discover the power of Bedrock's foundation models, including Jurassic-2 from AI21 Labs, Claude from Anthropic, Stable Diffusion from Stability AI, Titan from Amazon, and Llama 2 from Meta, and learn how to seamlessly integrate them into your existing systems. As a managed, serverless service with a unified API, Bedrock simplifies the process of adding Generative AI capabilities while ensuring the security and privacy of your data. You can even incorporate your own domain-specific knowledge models for a truly tailored solution.

In this episode, we'll demystify foundation models, explore their transformative potential across various industries, and showcase real-world examples of how organizations are using Amazon Bedrock with these powerful models to unlock new levels of innovation and efficiency.

Stay tuned for our next episode, where we'll dive deeper into advanced concepts and techniques for customizing and optimizing foundation models to suit your specific enterprise needs with Amazon Bedrock.

Want to move your applications to the cloud but not sure where to start? This podcast is for you! I 'll explain cloud migration in simple terms and introduce you to the AWS tools that make it easy. Learn about different migration strategies and the AWS services that help you plan, track, and automate the process. No prior AWS experience required! Join us and discover how you can easily and confidently move your applications to AWS.

Available on all audio platforms and Youtube