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

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

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

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

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

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

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

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

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

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