Tag: Channy Yun (윤석찬)

Today, we’re announcing the general availability of AWS Lambda SnapStart for Python and .NET functions that delivers faster function startup performance, from several seconds to as low as sub-second, typically with minimal or no code changes in Python, C#, F#, and Powershell. In November 28, 2022, we introduced Lambda SnapStart for Java functions to improve startup performance by up to 10 times. With Lambda SnapStart, you can reduce outlier latencies that come from initializing functions, without having to provision resources or spend time implementing complex performance optimizations. Lambda SnapStart works by caching and reusing the snapshotted memory and disk state of any one-time initialization code, or code that runs only the first time a Lambda function is invoked. Lambda takes…

Happy 20th Anniversary of the AWS News Blog! On November 9, 2004, Jeff Barr published his first blog post. At the time, he started a personal blog site using TypePad. He wanted to speak to his readers with his personal voice, not the company or team. On April 29, 2014, we created a new AWS blog site and migrated all posts to that page. There are currently over 4,300 posts on the AWS News Blog, with Jeff contributing over 3,200 of them. Since December 2016, the AWS News Blog has added new writers, but we are still following Jeff’s leadership principals for AWS News Bloggers in accordance with Day One. What’s unique about the AWS News Blog is that the…

Today, we’re announcing the general availability of Express brokers, a new broker type for Amazon Managed Streaming for Apache Kafka (Amazon MSK). It’s designed to deliver up to three times more throughput per-broker, scale up to 20 times faster, and reduce recovery time by 90 percent as compared to Standard brokers running Apache Kafka. Express brokers come preconfigured with Kafka best practices by default, support Kafka APIs, and provide the same low latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes. Express brokers provide improved compute and storage elasticity for Kafka applications when using Amazon MSK provisioned clusters. Amazon MSK is a fully-managed AWS service that makes it easier for you…

Today, we are announcing the general availability of fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock in the US West (Oregon) AWS Region. Amazon Bedrock is the only fully managed service that provides you with the ability to fine-tune Claude models. You can now fine-tune and customize the Claude 3 Haiku model with your own task-specific training dataset to boost model accuracy, quality, and consistency to further tailor generative AI for your business. Fine-tuning is a technique where a pre-trained large language model (LLM) is customized for a specific task by updating the weights and tuning hyperparameters like learning rate and batch size for optimal results. Anthropic’s Claude 3 Haiku model is the fastest and most compact model…