AWS Cloud Operations Blog

Tag: Machine Learning

Improve Amazon Bedrock Observability with Amazon CloudWatch AppSignals

With the pace of innovation with Generative AI applications, there is increasing demand for more granular observability into applications using Large Language Models (LLMs). Specifically, customers want visibility into: Prompt metrics like token usage, costs, and model IDs for individual transactions and operations, apart from service-level aggregations. Output quality factors including potential toxicity, harm, truncation […]

Building secure Amazon SageMaker access URLs with AWS Service Catalog

Many customers need a secure method to access Amazon SageMaker notebooks within their private network without logging in to the AWS console, or using the AWS CLI/SDKs. This may be desired for enhanced security or to provide an easier self-service path for data scientists. In this blog post, we show you a how to connect […]

How to set up CloudWatch Anomaly Detection to set dynamic alarms, automate actions, and drive online sales

In this post, I introduce you to Anomaly Detection in Amazon CloudWatch. I provide a step-by-step tutorial on how to create Anomaly Detection alarms that are dynamic, so you can automate actions such as placing items on sale if retail orders drop below an expected baseline. Why Anomaly Detection in Amazon CloudWatch? Amazon CloudWatch is […]