The AWS Developers Podcast

Join us for an in-depth conversation with Rick Ochs from AWS as we explore the powerful capabilities of AWS Compute Optimizer. Discover how this free tool changes cloud resource management by leveraging machine learning to deliver precise recommendations for EC2 instances, EBS volumes, and more. Rick shares insights on how Compute Optimizer analyzes historical utilization data to help organizations optimize both cost and performance, while respecting customer privacy through opt-in features. Learn about the tool's evolution, its integration with auto scaling groups, and how it handles everything from basic resource sizing to complex performance management decisions. We also dive into the future of cloud optimization, exploring upcoming AI integrations and discussing how AWS builds trust in its recommendations. Whether you're managing a small deployment or a large-scale infrastructure, this episode offers valuable insights into maximizing your AWS resources while maintaining optimal performance and cost efficiency.With Rick Ochs, Senior Manager, Cloud OptimizationGetting started with AWS Compute Optimizer

In this episode of the AWS Developers Podcast, Sebastien Stormacq is joined by Giuseppe Battista and Kevin Shaffer-Morrison for a deep dive into Agentic AI and the Model Context Protocol (MCP). They explore how startups are rapidly adopting generative AI and the business and technical hurdles they encounter along the way. The conversation covers how AI agents are integrated into workflows, the role of orchestration technologies, and how tools enhance the planning capabilities of AI models. The trio unpacks the MCP framework and its potential to standardize communication between large language models and tools—drawing a compelling analogy to how USB transformed hardware interactions. They also discuss the complexities of tool orchestration, including resource management and security, and what the rise of ‘tool definition engineering’ means for the future. From integrating MCP with platforms like Amazon Bedrock to rethinking the role of software engineers, this episode looks at how AI is reshaping the foundations of modern software development.With Kevin Shaffer-Morrison, Senior Startup Solution Architect ; With Giuseppe Battista, Senior Startup Solution ArchitectModel Context Protocol (MCP) and Amazon BedrockRunning MCP-Based Agents (Clients & Servers) on AWSThe multi-agent orchestratorThe podcast where we talk about the multi-agent orcuestratorAgent Orchestration: CrewAIAgent Orchestration: PydanticSmolagentsSwami's post on Linked about MCP

In this engaging discussion, Trevor Rowe, Senior Manager of the AWS SDK team, shares insights into the evolution of AWS SDKs and their support for over 320 services across 13 programming languages. He explains the challenges of backward compatibility and the importance of maintaining a smooth developer experience. Rowe highlights the innovative use of Smithy for code generation, modular architecture advancements, and performance enhancements that simplify migrations. The conversation also touches on the collaboration between SDKs and the Amplify framework, fostering improved usability in cloud application development.

In this episode of the AWS Developers Podcast, we welcome Christian Bonzelet to discuss the art of prompting in software development. Together, we explore how PromptZ.dev helps developers structure and share their prompts to maximize efficiency. Christian shares his insights from hands-on workshops, the challenges engineers face, and the importance of community feedback. The episode also delves into the technologies used to build the platform, including Amplify Gen2, DynamoDB, and Cognito, as well as its integration with Amazon Q. Finally, they discuss the impact of AI on developers' workflows and the future of PromptZ.dev.With Christian Bonzelet, Solution Architect, Bundesliga & AWS Community BuilderBundesligaPromptZAmazon Q Developer

In this episode, Chris Betz, Chief Information Security Officer (CISO) at AWS, introduces the Trust Center, a new essential resource for understanding security and trust in the cloud. He explains how AWS helps businesses navigate the challenges of compliance, data protection, and security best practices. Betz also shares practical advice for developers, enabling them to seamlessly integrate security into their projects and leverage the available tools. He highlights the key role of Nitro technology in optimizing security and emphasizes the importance of visibility in maintaining customer trust. A must-listen episode for anyone concerned with cloud security.With Chris Betz, Chief Information Security Officer, AWSAWS Trust CenterIntroducing the AWS Trust Center - The blog postAWS Nitro architectureAWS re:Inforce 2025

In this episode of the AWS Developers Podcast, we explore how Duolingo—the app with 100 million monthly active users—optimized its CI/CD infrastructure to handle builds for 300 pull requests every week. Sharanya Viswanath and Murtaza Javaid explain how their platform engineering team reduced build times from 50 minutes to just 16 minutes by migrating to Amazon EC2 Mac and implementing advanced autoscaling and caching strategies. We also discuss the importance of modularization, macOS and Xcode version management, and automation with Fastlane to make the process more robust and efficient. An interesting discussion on the technical challenges and solutions put in place to ensure resilience and stability for iOS builds at scale.With Sharanya Viswanath, Senior Engineering Manager, Duolingo ; With Murtaza Javaid, Software Engineer, DuolingoDuoLingoAmazon EC2 MacJenkinsXCRemoteCacheBazelFastlane match, to manage your signing materialsAWS CodeBuild for macOS

Hosts Tiffany Souterre and Sebastien Stormacq sit down with Rajesh Pandey to explore the critical role of events in AWS Lambda. They dive deep into how events trigger Lambda functions and how AWS has built infrastructure to ensure high availability while optimizing costs for customers. Rajesh explains the various event sources supported by Lambda and discusses important considerations around streaming data, latency, and performance. The conversation covers essential topics for developers including message handling, at-least-once delivery guarantees, and the developer's responsibility in tracking and managing messages. The trio explores advanced features such as event filtering—a highly popular capability that has evolved rapidly—and batching configurations that can significantly impact application performance. They also discuss observability best practices essential for successful service integrations and recent innovations with Kafka that offer ultra-low latency options. Whether you're new to serverless or an experienced Lambda developer, this episode provides valuable insights into building resilient, cost-effective, and high-performing event-driven architectures on AWS.With Rajesh Pandey, Principal Software Development Engineer, AWS LambdaAWS Lambda Polling eventsFirecracker, the open source micro VMAmazon EventBridge PipesUsing Lambda with self-managed Apache Kafka

In this episode of the AWS Developers Podcast, we welcome Greg Wilson, Director of AWS Documentation, SDK, and CLI. Together, we dive into the world of AWS documentation, its evolution, and the challenges it presents. Greg shares how his team is restructuring content to improve accessibility and make it easier for developers to find the information they need. He explains how customer feedback drives improvements and how AI is beginning to play a role in optimizing and generating documentation. We also discuss the new Decision Guides, designed to help users choose the right AWS services based on their specific needs. Finally, Greg gives us a glimpse into the priorities for 2025 and beyond, including enhancing the user experience and integrating personalized recommendations. A fascinating conversation for anyone who relies on AWS documentation in their daily work.With Greg Wilson, Director Doc, SDK, and CLI, AWSAWS documentation home pageAWS Documentation update — progress, challenges, and what’s next for 2025AWS Decision GuidesCorey Quinn re:Caps re:Invent in the AWS Developers Podcast, episode 142The Encyclopedia BritanicaCommodore 64 and Amazon Q Developers, Ricardo Suerias on the AWS Developer Podcast, epsiode 145Amazon Q Developers to chat with the AWS documentationBedrock code samples

Lakshmi Peri, a Senior Specialist Solution Architect at AWS, dives into the world of in-memory database solutions. She shares the evolution of ElastiCache and introduces the innovative Valkey and MemoryDB. The discussion highlights strategies for optimizing performance and reducing latency. Lakshmi explains how these technologies enhance applications through real-time data caching, tailored solutions, and efficient geospatial data management. She also compares in-memory databases to traditional ones, making the case for their crucial role in modern development.

bsport, a startup, provides a SaaS application to manage wellness studios like pilates, fitness, and yoga places. They also offer a white-label mobile application that customers can personalize and publish on the Google Play Store and App Store. Previously, provisioning macOS machines on-prem was time-consuming. Now, they automate the entire continuous integration chain in the cloud, regularly building over a thousand iOS apps on Amazon EC2 Mac. Listen to this episode to learn about bsport's continuous integration architecture, how they manage EC2 images, code signing, and more.With Sofian Medbouhi, CTO and co-founder, bsportbsportA shell script to configure the macOS Keychain before buldingReact NativeFastlaneAWS Image Builder for macOS