Coding talks with Vishnu VG

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!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.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.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.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.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.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.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.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: Effortless connections: Understand AWS CLI, Cloud Shell, Invoke API, and Converse API for streamlined interactions. Prompt engineering : Craft precise prompts to unlock Bedrock's full potential. Insider tips: Maximize efficiency and get the most out of your Bedrock experience. 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

Join and listen to go beyond the basics and explore the powerful world of S3 storage classes. We'll break down each class, from Standard and Intelligent-Tiering to Glacier, and help you determine which is the perfect fit for your data's unique needs. Whether you're a seasoned AWS user or just getting started with S3, this episode is packed with valuable insights and practical tips to help you unlock the full potential of Amazon S3 storage

In this Azure-specific episode, we delve into the art of modernizing classic cloud services. Our discussion kicks off by exploring the migration journey from monolithic architectures to modular services, all while keeping containerization at the forefront. We’ll dissect a real-world case study featuring Azure Container Instances (ACI) and then pivot to the orchestration magic of containers in the cloud—specifically Azure Kubernetes Service (AKS) and Azure Container Service for Azure (ACA). Tune in for insights, best practices, and a sneak peek at the upcoming AWS counterpart! 

Welcome to the podcast that sails through the dynamic world of container services. In this episode, we delve into the essence of containerization, unravel the offerings of leading cloud vendors like AWS, Azure, and GCP, and demystify the complexities of Kubernetes. Whether you’re a developer, a cloud enthusiast, or just curious about the backbone of modern cloud infrastructures, join us as we explore the building blocks that power today’s applications. Tune in to discover how containers are revolutionizing the way we deploy, manage, and scale applications in the cloud. Don’t miss out on this journey through the clouds!

Join an one hour discussion on Containerziation, its use cases and various AWS Services like EKS , ECS, AWS Fargate, and how it can help to modernize your applications and make it cloud native.

Learn some of the tools AWS Provided to college, store and analyse data. Features S3, BlockStorage, various DataMigration tools and finally analyse data and leverage inbuild Generative AI technologies using AWS SageMaker, Bedrock and Quicksight.

Get familiar with Amazon CodeWhisperer and how to use that free for individuals. Learn the benefits CodeWhispererer provides in terms of Developer Productivity and other areas like Devops and Infrastructure.

Audio Podcast about using Generative AI on AWS. Includes background of Generative AI, Demo on AWS CodeWhisperer and Amazon SageMaker.  For video version checkout https://www.youtube.com/watch?v=a4DTIUmjQuQ&t=1887s

Get an overview of forming enterprise decision strategies with the help of Data Lake Technologies. We will cover Overview of Data Aggregation Strategies  Data Lake  Dive into Data Lake  Medallion Architecture  Understanding Data Lake Storage mechanism like S3 and Azure Gen 2 Storage Orchestrating and Transforming Data context of AWS Glue / Azure Data Factory Overview of Spark and integrations with Azure and AWS , Azure Databricks and AWS Databricks Parquet file system Variations of Data Lake - Datalake as a service  Delta Lake 

Get an overview about Angular and how its contrasts with React and its role in Web Development.  Kindly use earphones for optimal listening. 

Covers Overview of Linux Distributions, Working with Useful Commands and Tips for Linux newbies