Category: Amazon Bedrock Agents

As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom […]

Introduction As the adoption of agentic AI applications continues to grow, ensuring the reliability, performance, and overall observability of these systems becomes increasingly critical. Agentic AI applications, powered by large language models (LLM) and integrated with various data sources and APIs, can quickly become complex, making it challenging to gain visibility into their inner workings […]

Introduction In order to enforce best practices for governance and compliance across AWS accounts in a centralized way, AWS Control Tower is an easy place to start.  However, ensuring continuous compliance requires regular drift detection and remediation, which Control Tower facilitates by providing a mechanism to detect drift and publish notifications to Amazon Simple Notification […]