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Episode 077 - Amazon OpenSearch Serverless with Jon Handler and Ashok Thirunarayanan
Manage episode 460533834 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, Linda, Emily, and Dave chat with Jon Handler, Sr. Principal Solutions Architect at AWS, and Ashok Thirunarayanan, Senior SDM, Search Service at AWS. Amazon OpenSearch Serverless is an on-demand serverless configuration for Amazon OpenSearch Service. Serverless removes the operational complexities of provisioning, configuring, and tuning your OpenSearch clusters. It's a good option for organizations that don't want to self-manage their OpenSearch clusters, or organizations that don't have the dedicated resources or expertise to operate large clusters. With OpenSearch Serverless, you can easily search and analyze a large volume of data without having to worry about the underlying infrastructure and data management. Jon and Ashok cover how they built OpenSearch Serverless, how they think about search technology and removing complexity, how developers can get started with this new feature, and what has got them excited about the future of search. Jon’s Twitter: https://twitter.com/jon_handler Jon on LinkedIn: https://www.linkedin.com/in/jon-handler-101a10/ Ashok on LinkedIn: https://www.linkedin.com/in/ashokthirunarayanan/ Linda on Twitter: https://twitter.com/lindavivah Linda’s Website: https://lindavivah.com/ Linda on TikTok: https://www.tiktok.com/@lindavivah Linda on Instagram: https://www.instagram.com/lindavivah/ Linda’s Medium: https://medium.com/@LindaVivah [BLOG] Amazon OpenSearch Serverless is Now Generally Available - https://go.aws/3ZrnIHj [BLOG] What’s New – Amazon OpenSearch Serverless is Now Generally Available - https://go.aws/3TZdigK [DOCS] Amazon OpenSearch Serverless Developer Guide - https://go.aws/3G5lshO [PORTAL] Amazon OpenSearch Serverless - https://go.aws/3TWF7Xa [YOUTUBE] Amazon OpenSearch Serverless- https://www.youtube.com/watch?v=aCROb9Ggqxc Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud
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167 episodes
Manage episode 460533834 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, Linda, Emily, and Dave chat with Jon Handler, Sr. Principal Solutions Architect at AWS, and Ashok Thirunarayanan, Senior SDM, Search Service at AWS. Amazon OpenSearch Serverless is an on-demand serverless configuration for Amazon OpenSearch Service. Serverless removes the operational complexities of provisioning, configuring, and tuning your OpenSearch clusters. It's a good option for organizations that don't want to self-manage their OpenSearch clusters, or organizations that don't have the dedicated resources or expertise to operate large clusters. With OpenSearch Serverless, you can easily search and analyze a large volume of data without having to worry about the underlying infrastructure and data management. Jon and Ashok cover how they built OpenSearch Serverless, how they think about search technology and removing complexity, how developers can get started with this new feature, and what has got them excited about the future of search. Jon’s Twitter: https://twitter.com/jon_handler Jon on LinkedIn: https://www.linkedin.com/in/jon-handler-101a10/ Ashok on LinkedIn: https://www.linkedin.com/in/ashokthirunarayanan/ Linda on Twitter: https://twitter.com/lindavivah Linda’s Website: https://lindavivah.com/ Linda on TikTok: https://www.tiktok.com/@lindavivah Linda on Instagram: https://www.instagram.com/lindavivah/ Linda’s Medium: https://medium.com/@LindaVivah [BLOG] Amazon OpenSearch Serverless is Now Generally Available - https://go.aws/3ZrnIHj [BLOG] What’s New – Amazon OpenSearch Serverless is Now Generally Available - https://go.aws/3TZdigK [DOCS] Amazon OpenSearch Serverless Developer Guide - https://go.aws/3G5lshO [PORTAL] Amazon OpenSearch Serverless - https://go.aws/3TWF7Xa [YOUTUBE] Amazon OpenSearch Serverless- https://www.youtube.com/watch?v=aCROb9Ggqxc Subscribe: Amazon Music: https://music.amazon.com/podcasts/f8bf7630-2521-4b40-be90-c46a9222c159/aws-developers-podcast Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-developers-podcast/id1574162669 Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zb3VuZGNsb3VkLmNvbS91c2Vycy9zb3VuZGNsb3VkOnVzZXJzOjk5NDM2MzU0OS9zb3VuZHMucnNz Spotify: https://open.spotify.com/show/7rQjgnBvuyr18K03tnEHBI TuneIn: https://tunein.com/podcasts/Technology-Podcasts/AWS-Developers-Podcast-p1461814/ RSS Feed: https://feeds.soundcloud
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167 episodes
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The AWS Developers Podcast

In this episode of the AWS Developer Podcast, we dive into Ryanair's journey towards responsible AI. As the airline aims to carry 300 million passengers in less than a decade, it is turning to generative AI to enhance productivity and scale operations. The conversation explores how Ryanair is identifying and implementing use cases, the role of its generative AI center of excellence, and the importance of embedding governance into AI from the very start. You'll hear how the airline is balancing agility with compliance through the creation of an AI compliance hub and a flexible, evolving framework to manage AI risks. The speakers share candid insights into lessons learned, the challenges of cross-functional collaboration, and why responsible AI is a continuous process—one that future teams will be grateful for. With Everton Oliveira , Solution Architect, GenAI Lead, Ryanair ; With Krzysztof Głuszczyk , Principal Software Engineer, GenAI Lead, Ryanair Ryanair Ryanair on AWS…
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In this episode of the AWS Developers Podcast, host Sebastien Stormacq sits down with Toby, CEO and co-founder of SurrealDB, to explore the world of multi-model databases. They unpack how SurrealDB stands out by cleanly separating storage from compute, supporting multiple data models within a single engine, and delivering a developer-friendly experience through its web-based tools and Rust-powered core. Toby shares insights into the journey from Golang to Rust, explains how developers can use SurrealDB as either an embedded library or a server, and discusses real-world use cases from edge deployments to real-time decision-making in the cloud. The conversation highlights how open source, performance, and scalability intersect in this modern database technology designed to meet the demands of today’s applications. With Tobie Morgan Hitchcock , Co-founder & CEO at SurrealDB SurrealDB Getting started with Surreal DB Foundation DB IndexDB…
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1 Inside Valkey GLIDE: building a next-gen Valkey client library with Rust 40:40
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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…
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1 3 ways to deploy your large language models on AWS 40:28
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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…
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1 The golden jacket: a journey towards 12 AWS certifications 45:12
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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…
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1 AWS Compute Optimizer: Beyond Simple Resource Sizing 45:17
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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…
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1 The new stack: AI, Tools, MCP (& Amazon Bedrock) 48:59
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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…
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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…
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1 promptz.dev, a repository for your Amazon Q Developer prompts 29:18
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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…
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1 AWS Trust Center: a conversation with AWS's CISO. 32:11
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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…
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1 Duolingo: continuous integration on Amazon EC2 Mac 43:12
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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…
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1 Lambda Event Sources: From Infrastructure to Implementation 42:49
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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…
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1 The AWS Documentation, past, present, and future 50:05
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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…
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1 In-Memory Solutions on AWS: ElastiCache, Valkey, and MemoryDB Explained 41:46
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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…
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1 A thousand apps in the cloud: bsport's iOS building strategy on EC2 Mac 29:40
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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…
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