I'm Vadym Kazulkin, AWS Serverless Hero and Head of Development at ip.labs based in Bonn. I have been in the tech industry for over 25 years. My current focus and interests include the design and implementation of highly scalable and available applications in the AWS Cloud, with a special passion for Serverless, Generative, and Agentic AI, as well as the optimization of Java applications (also utilizing Spring Boot, Micronaut, and Quarkus frameworks) on AWS Lambda. I'm also the co-organizer of the Java User Group Bonn meetup, a frequent speaker at various national and international events, and a regular author of articles in different published and online magazines and on my online blog. https://speakerdeck.com/vkazulkin 2026-10-11 03:25:37 -0400 AWS Lambda Managed Instances enables us to run functions on a wide range of EC2 instances while maintaining Lambda's operational simplicity. In this talk, I will explain what problems do AWS Lambda Managed Instances solve, what limitations do they currently have, and how to create them. I'll also compare them with the Lambda default compute type and provide some recommendations on when to use each Lambda compute type. AWS Lambda Managed Instances enables us to run functions on a wide range of EC2 instances while maintaining Lambda's operational simplicity. In this talk, I will explain what problems do AWS Lambda Managed Instances solve, what limitations do they currently have, and how to create them. I'll also compare them with the Lambda default compute type and provide some recommendations on when to use each Lambda compute type. Sun, 11 Oct 2026 00:00:00 -0400 https://speakerdeck.com/vkazulkin/deep-dive-into-aws-lambda-managed-instances-at-aws-user-group-london-ontario-canada-2026 https://speakerdeck.com/vkazulkin/deep-dive-into-aws-lambda-managed-instances-at-aws-user-group-london-ontario-canada-2026 Amazon Bedrock AgentCore enables us to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. In this talk, we'll dive deep into various aspects of how to implement an AI Agent in Java using Spring AI, including using the MCP Streamable HTTP Client to talk to the MCP Server with exposed tools. Then, we'll look at the Embabel framework for authoring agentic flows on the JVM that supports intelligent path finding towards goals and cover its benefits. We'll host our agent on Amazon Bedrock AgentCore Runtime and look at other AgentCore features like Observability (in standardized OpenTelemetry compatible format), Gateway (to securely connect to MCP-compatible tools), short and long-term Memory, and Identity. Finally, we'll look at the Spring AI AgentCore project, which provides various integrations between Spring AI and Bedrock AgentCore. Amazon Bedrock AgentCore enables us to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. In this talk, we'll dive deep into various aspects of how to implement an AI Agent in Java using Spring AI, including using the MCP Streamable HTTP Client to talk to the MCP Server with exposed tools. Then, we'll look at the Embabel framework for authoring agentic flows on the JVM that supports intelligent path finding towards goals and cover its benefits. We'll host our agent on Amazon Bedrock AgentCore Runtime and look at other AgentCore features like Observability (in standardized OpenTelemetry compatible format), Gateway (to securely connect to MCP-compatible tools), short and long-term Memory, and Identity. Finally, we'll look at the Spring AI AgentCore project, which provides various integrations between Spring AI and Bedrock AgentCore. Sun, 11 Oct 2026 00:00:00 -0400 https://speakerdeck.com/vkazulkin/building-production-ready-ai-agents-with-spring-ai-embabel-and-amazon-bedrock-agentcore-at-aws-user-group-bonn-2026 https://speakerdeck.com/vkazulkin/building-production-ready-ai-agents-with-spring-ai-embabel-and-amazon-bedrock-agentcore-at-aws-user-group-bonn-2026 Amazon Aurora DSQL is a serverless distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. In this talk we’ll use a sample serverless application that uses Amazon API Gateway, AWS Lambda and Aurora DSQL to explore the architecture and features of this database. We'll explore the scaling behaviour of DSQL, measure performance including cold starts, deep dive into its pricing and current limitations. We'll wrap up with some suggestions when currently to use DSQL comparing to DynamoDB, RDS and Aurora (Serverless) and what to pay attention to when migrating your existing application to Aurora DSQL. Amazon Aurora DSQL is a serverless distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. In this talk we’ll use a sample serverless application that uses Amazon API Gateway, AWS Lambda and Aurora DSQL to explore the architecture and features of this database. We'll explore the scaling behaviour of DSQL, measure performance including cold starts, deep dive into its pricing and current limitations. We'll wrap up with some suggestions when currently to use DSQL comparing to DynamoDB, RDS and Aurora (Serverless) and what to pay attention to when migrating your existing application to Aurora DSQL. Sun, 11 Oct 2026 00:00:00 -0400 https://speakerdeck.com/vkazulkin/build-modern-applications-with-amazon-aurora-dsql-at-aws-community-day-italy-2026 https://speakerdeck.com/vkazulkin/build-modern-applications-with-amazon-aurora-dsql-at-aws-community-day-italy-2026 Amazon Bedrock AgentCore enables us to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. In this talk, we'll dive deep into various aspects of how to implement an AI Agent in Java using Spring AI, including using the MCP Streamable HTTP Client to talk to the MCP Server with exposed tools. Then, we'll look at the Embabel framework for authoring agentic flows on the JVM that supports intelligent path finding towards goals and cover its benefits. We'll host our agent on Amazon Bedrock AgentCore Runtime and look at other AgentCore features like Observability (in standardized OpenTelemetry compatible format), Gateway (to securely connect to MCP-compatible tools), short and long-term Memory, and Identity. Finally, we'll look at the Spring AI AgentCore project, which provides various integrations between Spring AI and Bedrock AgentCore. Amazon Bedrock AgentCore enables us to deploy and operate highly capable AI agents securely, at scale. It offers infrastructure purpose-built for dynamic agent workloads, powerful tools to enhance agents, and essential controls for real-world deployment. In this talk, we'll dive deep into various aspects of how to implement an AI Agent in Java using Spring AI, including using the MCP Streamable HTTP Client to talk to the MCP Server with exposed tools. Then, we'll look at the Embabel framework for authoring agentic flows on the JVM that supports intelligent path finding towards goals and cover its benefits. We'll host our agent on Amazon Bedrock AgentCore Runtime and look at other AgentCore features like Observability (in standardized OpenTelemetry compatible format), Gateway (to securely connect to MCP-compatible tools), short and long-term Memory, and Identity. Finally, we'll look at the Spring AI AgentCore project, which provides various integrations between Spring AI and Bedrock AgentCore. Sun, 11 Oct 2026 00:00:00 -0400 https://speakerdeck.com/vkazulkin/building-production-ready-ai-agents-with-spring-ai-embabel-and-amazon-bedrock-agentcore-at-aws-community-day-central-asia-2026 https://speakerdeck.com/vkazulkin/building-production-ready-ai-agents-with-spring-ai-embabel-and-amazon-bedrock-agentcore-at-aws-community-day-central-asia-2026 AWS Lambda Managed Instances enables us to run functions on a wide range of EC2 instances while maintaining Lambda's operational simplicity. In this talk, I will explain what problems do AWS Lambda Managed Instances solve, what limitations do they currently have, and how to create them. I'll also compare them with the Lambda default compute type and provide some recommendations on when to use each Lambda compute type. AWS Lambda Managed Instances enables us to run functions on a wide range of EC2 instances while maintaining Lambda's operational simplicity. In this talk, I will explain what problems do AWS Lambda Managed Instances solve, what limitations do they currently have, and how to create them. I'll also compare them with the Lambda default compute type and provide some recommendations on when to use each Lambda compute type. Sun, 11 Oct 2026 00:00:00 -0400 https://speakerdeck.com/vkazulkin/deep-dive-into-aws-lambda-managed-instances-at-aws-community-day-dach-2026 https://speakerdeck.com/vkazulkin/deep-dive-into-aws-lambda-managed-instances-at-aws-community-day-dach-2026