Title

DNP-VYT - AWS re:Invent 2023 - (BOA201)

Summary

Muhammad Fazlullah, a senior developer advocate at AWS, presented a session on getting started with Go on AWS.
The session covered various topics, including SDK support for Go, compute options for deploying Go applications, serverless development, generative AI, databases, and tooling.
AWS SDK for Go provides utilities to build applications faster and is open source.
Compute options include EC2, ECS, EKS, and AWS Fargate, with a focus on AWS App Runner for easy deployment of web apps and APIs.
Serverless development with AWS Lambda was discussed, highlighting the use of custom runtimes and Amazon Linux 2023 for Go applications.
Generative AI applications can be built using Amazon Bedrock and Langchain Go, with a demo showcasing interaction with the AI model Claude.
Various databases are supported, with guidance on choosing based on use cases and access patterns.
Tooling includes SAM CLI for serverless applications and AWS CodeWhisperer for real-time code suggestions and security scanning (though not for Go).

AWS is committed to supporting Go developers with comprehensive SDKs and compute options tailored for Go applications.
AWS App Runner is particularly beneficial for Go developers due to its support for native Go runtime and its ability to abstract deployment complexities.
The shift towards serverless architecture is evident, with AWS Lambda supporting Go through custom runtimes and the latest Amazon Linux base images.
Generative AI is gaining traction, and AWS is enabling Go developers to build AI applications by providing APIs and tools like Amazon Bedrock and Langchain Go.
AWS's purpose-built databases offer a wide range of options, and the choice of database should be driven by the specific needs of the application.
Tooling such as SAM CLI and AWS CodeWhisperer can significantly enhance developer productivity, although some features like security scanning are not yet available for Go in CodeWhisperer.