AWS News Blog

Channy Yun (윤석찬)

Author: Channy Yun (윤석찬)

Channy is a Lead Blogger of AWS News Blog and Principal Developer Advocate for AWS Cloud. As an open web enthusiast and blogger at heart, he loves community-driven learning and sharing of technology.

Try the new console experience in Amazon Bedrock, optimized for Anthropic- and OpenAI-compatible APIs

You can use the new console experience on Amazon Bedrock to browse and compare the latest AI models side by side, organize work into projects with streamlined evaluation workflows, and access project-aware live documentation with auto-prefilled code snippets ready to copy and run.

Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journey

AWS launches the next generation of AWS Resilience Hub with a significantly expanded experience that brings together a new application model, dependency discovery assessment, generative AI-powered failure mode analysis, modular resilience policies, and organization-wide reporting.

AWS Weekly Roundup

AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026)

Just a year ago, we launched AWS Transform for .NET, Mainframe and VMware workloads, the first agentic AI service purpose-built for modernizing enterprise applications at scale. At re:Invent 2025, we introduced AWS Transform custom, which enables organizations to modernize and transform code at scale using AWS-managed and custom transformations. You can upgrade language versions, migrate […]

Amazon Bedrock introduces new advanced prompt optimization and migration tool

Amazon Bedrock Advanced Prompt Optimization enables customers to optimize their prompts for their current model or migrate prompts to new models faster than before with built-in evaluation feedback loops. Optimize your prompts and compare results for up to 5 models simultaneously.

Amazon Redshift introduces AWS Graviton-based RG instances with an integrated data lake query engine

Amazon Redshift RG instances, powered by AWS Graviton, run data warehouse and data lake workloads up to 2.4x as fast as RA3 instances at 30% lower price per vCPU. Its integrated data lake query engine supports open table formats such as Apache Iceberg.