Player FM - Internet Radio Done Right
Checked 16h ago
Added eighteen weeks ago
Content provided by Sébastien Stormacq and Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sébastien Stormacq and Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
Podcasts Worth a Listen
SPONSORED
T
This Is Woman's Work with Nicole Kalil


1 The Icelandic Art of Intuition with Hrund Gunnsteinsdóttir | 307 35:19
35:19
Play Later
Play Later
Lists
Like
Liked35:19
We’ve turned intuition into a buzzword—flattened it into a slogan, a gut feeling, or a vague whisper we don’t always know how to hear. But what if intuition is so much more? What if it's one of the most powerful tools we have—and we’ve just forgotten how to use it? In this episode, I’m joined by Hrund Gunnsteinsdóttir , Icelandic thought leader, filmmaker, and author of InnSæi: Icelandic Wisdom for Turbulent Times . Hrund has spent over 20 years studying and teaching the science and art of intuition through her TED Talk, Netflix documentary ( InnSæi: The Power of Intuition ), and global work on leadership, innovation, and inner knowing. Together, we explore what intuition really is (hint: not woo-woo), how to cultivate it in a culture obsessed with logic and overthinking, and why your ability to listen to yourself might be the most essential skill you can develop. In This Episode, We Cover: ✅ Why we’ve misunderstood intuition—and how to reclaim it ✅ Practical ways to strengthen your intuitive muscle ✅ What Icelandic wisdom teaches us about inner knowing ✅ How to use intuition during uncertainty and decision-making ✅ Why trusting yourself is an act of rebellion (and power) Intuition isn’t magic—it’s a deep, internal guidance system that already exists inside you. The question is: are you listening? Connect with Hrund: Website: www.hrundgunnsteinsdottir.com TedTalk: https://www.ted.com/talks/hrund_gunnsteinsdottir_listen_to_your_intuition_it_can_help_you_navigate_the_future?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare Newsletter: https://hrundgunnsteinsdottir.com/blog/ LI: www.linkedin.com/in/hrundgunnsteinsdottir IG: https://www.instagram.com/hrundgunnsteinsdottir/ Book: InnSæi: Icelandic Wisdom for Turbulent Times Related Podcast Episodes: How To Breathe: Breathwork, Intuition and Flow State with Francesca Sipma | 267 VI4P - Know Who You Are (Chapter 4) Gentleness: Cultivating Compassion for Yourself and Others with Courtney Carver | 282 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music…
3 ways to deploy your large language models on AWS
Manage episode 481599939 series 3636979
Content provided by Sébastien Stormacq and Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sébastien Stormacq and Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of the AWS Developers Podcast, we dive into the different ways to deploy large language models (LLMs) on AWS. From self-managed deployments on EC2 to fully managed services like SageMaker and Bedrock, we break down the pros and cons of each approach. Whether you're optimizing for compliance, cost, or time-to-market, we explore the trade-offs between flexibility and simplicity. You'll hear practical insights into instance selection, infrastructure management, model sizing, and prototyping strategies. We also examine how services like SageMaker Jumpstart and serverless architectures like Bedrock can streamline your machine learning workflows. If you're building or scaling AI applications in the cloud, this episode will help you navigate your options and design a deployment strategy that fits your needs.
…
continue reading
With Germaine Ong, Startup Solution Architect ; With Jarett Yeo, Startup Solution Architect
165 episodes
Manage episode 481599939 series 3636979
Content provided by Sébastien Stormacq and Amazon Web Services. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sébastien Stormacq and Amazon Web Services or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of the AWS Developers Podcast, we dive into the different ways to deploy large language models (LLMs) on AWS. From self-managed deployments on EC2 to fully managed services like SageMaker and Bedrock, we break down the pros and cons of each approach. Whether you're optimizing for compliance, cost, or time-to-market, we explore the trade-offs between flexibility and simplicity. You'll hear practical insights into instance selection, infrastructure management, model sizing, and prototyping strategies. We also examine how services like SageMaker Jumpstart and serverless architectures like Bedrock can streamline your machine learning workflows. If you're building or scaling AI applications in the cloud, this episode will help you navigate your options and design a deployment strategy that fits your needs.
…
continue reading
With Germaine Ong, Startup Solution Architect ; With Jarett Yeo, Startup Solution Architect
165 episodes
All episodes
×T
The AWS Developers Podcast

1 Inside Valkey GLIDE: building a next-gen Valkey client library with Rust 40:40
40:40
Play Later
Play Later
Lists
Like
Liked40:40
This week on the AWS Developers Podcast, we sit down with Avi Fenesh to explore the evolution of Redis into Valkey, an open-source alternative born after Redis changed its licensing model. They take a deep dive into Valkey GLIDE, a new client library designed to provide a seamless developer experience, making it easier to connect to Valkey with zero configuration. The conversation covers the architectural decisions behind Valkey GLIDE, its implementation in Rust for performance and safety, and how it supports multiple programming languages. Avi explains how the AWS-led project has grown into a thriving community-driven effort, placing developer experience, security, and scalability at its core. Topics include API design, Unix domain socket security, and how Valkey GLIDE handles complex scenarios like topology changes in clustered environments. Whether you’re building with Redis, experimenting with Rust, or just curious about the future of open source in-memory database solutions, this episode offers insights into how Valkey GLIDE is reshaping client-library development with a strong focus on community and usability. With Avi Fenesh , Software Development Engineer, AWS Valkey Valkey GLIDE Foreign functions interface Unix domain socket…
T
The AWS Developers Podcast

1 3 ways to deploy your large language models on AWS 40:28
40:28
Play Later
Play Later
Lists
Like
Liked40:28
In this episode of the AWS Developers Podcast, we dive into the different ways to deploy large language models (LLMs) on AWS. From self-managed deployments on EC2 to fully managed services like SageMaker and Bedrock, we break down the pros and cons of each approach. Whether you're optimizing for compliance, cost, or time-to-market, we explore the trade-offs between flexibility and simplicity. You'll hear practical insights into instance selection, infrastructure management, model sizing, and prototyping strategies. We also examine how services like SageMaker Jumpstart and serverless architectures like Bedrock can streamline your machine learning workflows. If you're building or scaling AI applications in the cloud, this episode will help you navigate your options and design a deployment strategy that fits your needs. With Germaine Ong , Startup Solution Architect ; With Jarett Yeo , Startup Solution Architect Blog: Deploying Deepseek R1 Distill on Amazon EC2 Blog: Deploying DeepSeek R1 Distill on Amazon Sagemaker Jumpstart Ollama Open Web UI Doc: deploy your own model on Amazon Sagemaker Doc: deploy your own model on Amazon Bedrock…
T
The AWS Developers Podcast

1 The golden jacket: a journey towards 12 AWS certifications 45:12
45:12
Play Later
Play Later
Lists
Like
Liked45:12
In this episode of the AWS Developers Podcast, we sit down with Ivan Casco, Principal Solutions Architect, AWS Community Builder, and one of the rare few to have earned all 14 AWS certifications—an achievement that earned him the coveted Golden Jacket. Ivan takes us through his remarkable journey, from his first certification back in 2017 to joining the Community Builders program in 2023, and finally reaching the full set of certifications in 2025. Based between Spain and Dublin, Ivan shares what drove him to pursue this challenge, how he stayed motivated, and which certifications pushed him the most—spoiler alert: networking and machine learning were no walk in the park. We also dive into his favorite study techniques, what it’s really like to sit through the exams, and how these certifications have impacted both his confidence and his career. If you're thinking about starting your own AWS certification path—or you're in the middle of one—this conversation is full of practical advice, community insight, and inspiration. Plus, find out what the golden jacket moment was really like. With Ivan Casco Valero , Principal Solutions Architect AWS Certifications…
T
The AWS Developers Podcast

1 AWS Compute Optimizer: Beyond Simple Resource Sizing 45:17
45:17
Play Later
Play Later
Lists
Like
Liked45:17
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 Optimization Getting started with AWS Compute Optimizer…
T
The AWS Developers Podcast

1 The new stack: AI, Tools, MCP (& Amazon Bedrock) 48:59
48:59
Play Later
Play Later
Lists
Like
Liked48:59
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 Architect Model Context Protocol (MCP) and Amazon Bedrock Running MCP-Based Agents (Clients & Servers) on AWS The multi-agent orchestrator The podcast where we talk about the multi-agent orcuestrator Agent Orchestration: CrewAI Agent Orchestration: Pydantic Smolagents Swami's post on Linked about MCP…
T
The AWS Developers Podcast

In this episode of the AWS Developers Podcast, we sit down with Trevor Rowe, Senior Manager of the AWS SDK team, for a deep dive into the evolution and inner workings of the AWS SDKs. We explore how the SDKs scale to support over 320+ AWS services, the importance of maintaining backward compatibility, and the role of developer experience in shaping the SDK design. Trevor explains how the team uses Smithy to automate code generation, ensuring consistency and efficiency across different programming languages. The conversation touches on the growing adoption of modular architecture, community contributions via GitHub, and the team's efforts to improve performance, define better schemas, and simplify migrations. Whether you're building cloud applications or maintaining complex integrations, this episode offers a behind-the-scenes look at how AWS builds and evolves its core developer tools. With Trevor Rowe , Sr. Software Engineering Manager, AWS The AWS SDKs, API for 320+ services in 13 programming languages Smithy code generation from API definition Current retry strategy in the AWS SDKs Blog post: AWS STS service endpoint and Retry Strategy AWS Common Runtime for the AWS SDKs…
T
The AWS Developers Podcast

1 promptz.dev, a repository for your Amazon Q Developer prompts 29:18
29:18
Play Later
Play Later
Lists
Like
Liked29:18
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 Builder Bundesliga PromptZ Amazon Q Developer…
T
The AWS Developers Podcast

1 AWS Trust Center: a conversation with AWS's CISO. 32:11
32:11
Play Later
Play Later
Lists
Like
Liked32:11
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, AWS AWS Trust Center Introducing the AWS Trust Center - The blog post AWS Nitro architecture AWS re:Inforce 2025…
T
The AWS Developers Podcast

1 Duolingo: continuous integration on Amazon EC2 Mac 43:12
43:12
Play Later
Play Later
Lists
Like
Liked43:12
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, Duolingo DuoLingo Amazon EC2 Mac Jenkins XCRemoteCache Bazel Fastlane match, to manage your signing materials AWS CodeBuild for macOS…
T
The AWS Developers Podcast

1 Lambda Event Sources: From Infrastructure to Implementation 42:49
42:49
Play Later
Play Later
Lists
Like
Liked42:49
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 Lambda AWS Lambda Polling events Firecracker, the open source micro VM Amazon EventBridge Pipes Using Lambda with self-managed Apache Kafka…
T
The AWS Developers Podcast

1 The AWS Documentation, past, present, and future 50:05
50:05
Play Later
Play Later
Lists
Like
Liked50:05
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, AWS AWS documentation home page AWS Documentation update — progress, challenges, and what’s next for 2025 AWS Decision Guides Corey Quinn re:Caps re:Invent in the AWS Developers Podcast, episode 142 The Encyclopedia Britanica Commodore 64 and Amazon Q Developers, Ricardo Suerias on the AWS Developer Podcast, epsiode 145 Amazon Q Developers to chat with the AWS documentation Bedrock code samples…
T
The AWS Developers Podcast

1 In-Memory Solutions on AWS: ElastiCache, Valkey, and MemoryDB Explained 41:46
41:46
Play Later
Play Later
Lists
Like
Liked41:46
In this episode, I'm joined by Lakshmi Peri, Solutions Architect Specialist for in-memory services at AWS, to explore the landscape of in-memory database solutions available on AWS. From the history of ElastiCache to the latest developments with Valkey and MemoryDB, this conversation covers everything developers need to know about leveraging in-memory technologies for their applications. Lakshmi explains the evolution from basic caching solutions to today's sophisticated in-memory databases that can handle complex data structures, vectors for AI applications, and geospatial information. Whether you're starting a new application or optimizing an existing one, this episode provides valuable insights into choosing the right in-memory solution for your specific needs, with guidance on balancing performance, durability, and cost-effectiveness. With Lakshmi Peri , Senior Specialist Solution Architect, AWS ElastiCache Memory DB Valkey…
T
The AWS Developers Podcast

1 A thousand apps in the cloud: bsport's iOS building strategy on EC2 Mac 29:40
29:40
Play Later
Play Later
Lists
Like
Liked29:40
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, bsport bsport A shell script to configure the macOS Keychain before bulding React Native Fastlane AWS Image Builder for macOS…
T
The AWS Developers Podcast

1 Unlocking VPC integration with Step Functions and EventBridge 40:40
40:40
Play Later
Play Later
Lists
Like
Liked40:40
In this conversation, Justin, Ashish and Seb discuss the integration of AWS services such as Amazon EventBridge and AWS Step Functions with private APIs powered by AWS PrivateLink and Amazon VPC Lattice. They explore customer requirements for secure access to private resources, highlighting the collaborative efforts among AWS teams to address these needs and emphasizing the importance of establishing network foundations. They also delve into the future trends in application integration and networking, the transparent pricing structure for the new capabilities, and troubleshooting connectivity issues. If you develop solutions using Amazon EventBridge or AWS Step Function, don't miss this episode. With Justin Callison , Director, Application Integration, AWS ; With Ashish Kumar Pathak , Technical Product Manager, AWS AWS On Air: New features of Amazon EventBridge/AWS Step Functions AWS re:Invent 2024: Private API integration for Amazon EventBridge and AWS Step Functions AWS re:Invent 2024: Simplify cross-VPC resource access with PrivateLink and VPC Lattice Securely share AWS resources across VPC and account boundaries with PrivateLink, VPC Lattice, EventBridge, and Step Functions Blog: Invoking Private API Gateway Endpoints From Step Functions…
T
The AWS Developers Podcast

1 Amazon Cognito - Simplifying user authentication 43:56
43:56
Play Later
Play Later
Lists
Like
Liked43:56
In this episode of the AWS Developers Podcast, we welcome Rahul Sharma and Kevin Shanley to discuss AWS Cognito, a service for user authentication and identity management in web and mobile applications. The guests outline Cognito's updates: a new getting started experience, managed login features, and passwordless authentication options. They explain how these changes affect developers implementing authentication systems and discuss the technical aspects of passkeys implementation. The conversation details Cognito's pricing structure, now organized in three tiers: light, essentials, and plus. The team explains what each tier includes and finish by sharing some perspectives on the future of identity services. With Rahul Sharma , Principal Product manager, AWS ; With Kevin Shanley , Principal Solution Architect, AWS Identity Amazon Cognito Improve your app authentication workflow with new Amazon Cognito features Announcing new feature tiers: Essentials and Plus for Amazon Cognito…
Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.