AWS Cloud Operations Blog
Author: Rodrigue Koffi
Rodrigue is a Specialist Solutions Architect at Amazon Web Services for Observability. He is passionate about observability, distributed systems, and machine learning. He has a strong DevOps and software development background and loves programming with Go. Outside work, Rodrigue enjoys swimming and spending quality time with his family. Find him on LinkedIn at /grkoffi
Analyzing Claude Code usage with CloudWatch and OpenTelemetry
Editor’s note (July 2026): This post has been updated to reflect the launch of Amazon CloudWatch Coding Agent Insights, a purpose-built experience for monitoring AI coding agent usage. The dashboard deployment section now references Coding Agent Insights for CloudWatch users, with the custom PromQL dashboard retained for Amazon Managed Grafana. If your engineering organization uses […]
Introducing OpenTelemetry and PromQL support in Amazon CloudWatch
Editor’s note (July 2026): This post has been updated to reflect the general availability of Amazon CloudWatch native OpenTelemetry metrics ingestion and PromQL support, including new capabilities and revised pricing. If you run Kubernetes or microservices workloads on AWS, your metrics likely carry dozens of labels: namespace, pod, container, node, deployment, replica set, and custom […]
Optimizing Queries with Amazon Managed Prometheus
Introduction In today’s cloud-native environments, organizations rely on metrics monitoring to maintain application reliability and performance. Amazon Managed Service for Prometheus serves as a tool for storing and analyzing application and infrastructure metrics. As applications and platforms evolve, teams often discover opportunities to optimize their metrics querying patterns. Common scenarios like expanding service deployments, growing […]
Automating metrics collection on Amazon EKS with Amazon Managed Service for Prometheus managed scrapers
Managing and operating monitoring systems for containerized applications can be a significant operational burden for customers such as metrics collection. As container environments scale, customers have to split metric collection across multiple collectors, right-size the collectors to handle peak loads, and continuously manage, patch, secure, and operationalize these collectors. This overhead can detract from an […]
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 […]
Amazon Managed Grafana announces support for Grafana version 10.4
We are excited to announce support for Grafana version 10.4 in Amazon Managed Grafana. You can now run Grafana version 10.4 on a secure, scalable, highly available, and fully managed service. This update gives you access to key features introduced in the open-source Grafana versions 9.5 to 10.4, including Correlations, Subfolders, Transformations redesign, and new visualization panels. It […]