AWS Cloud Operations Blog

Category: Management Tools

How Amazon Achieved Full Stack Observability Across 400 Offices with Amazon OpenSearch Serverless

Summary Amazon Corporate Infrastructure Services (CIS) supports 330,000+ employees across 400 offices in 50+ countries. Every day, these employees depend on critical services including video conferencing (Zoom, Webex, Teams), collaboration tools (Slack, Microsoft M365), audiovisual systems, guest Wi-Fi, and ServiceNow for seamless productivity. Before we implemented the Full Stack Observability (FSO) platform, individual teams had […]

Transform AWS Support Case Workflows with Kiro CLI

Operations teams managing AWS infrastructure must resolve issues quickly while maintaining thorough documentation and following best practices. Traditional workflows create bottlenecks where valuable engineering time is consumed by administrative tasks rather than actual problem-solving, directly impacting system availability and customer experience. Kiro CLI removes this administrative overhead. Kiro CLI is an AI-powered command-line assistant for […]

This Month in AWS Observability June 2026

This Month in AWS Observability: June 2026

Introduction Welcome to the latest edition of This Month in AWS Observability, featuring what’s new across Amazon CloudWatch and AI-driven operations this June! Native OpenTelemetry metrics with PromQL querying is now generally available in CloudWatch, 23 new Logs Insights commands launched for deeper statistical and structured analysis, Session Replay now in CloudWatch RUM, and AWS […]

Turn Your Amazon CloudWatch Alarms into Actionable Signals

Your alarm fires at 2 AM. You grab your phone, squint at the notification, and see: “ALARM: my-service-alarm has transitioned to ALARM state.” No context. No application. No hint about which of your 200 instances is the problem, or whether it even matters. I’ve been there. We’ve all been there. Alarm frustration often comes from […]

Using Amazon S3 Server Access Logs with Amazon CloudWatch Logs

TL;DR What if you could go from raw Amazon S3 server access logs to a complete security dashboard without building a custom pipeline? The dashboard below is deployed using the CloudFormation template provided in this post. Figure 1: Amazon S3 Server Access Logs Security, Compliance & Audit Dashboard Until now, getting security visibility from Amazon […]

Log analysis with facets, correlation, enrichment, and automation in Amazon CloudWatch Log Analytics

Teams working with distributed applications accumulate logs across multiple log groups, including application logs, access logs, and audit trails. When something needs investigating, an engineer opens the console and starts writing queries from scratch. The same query gets written differently by different people. The results lack context because the log event does not contain who […]

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 […]

GPU Cost Attribution in Amazon EKS Using Amazon Managed Service for Prometheus, Amazon Managed Grafana, and OpenTelemetry

As organizations scale their AI and machine learning workloads on Amazon Elastic Kubernetes Service (Amazon EKS), GPU instances often represent the largest portion of compute costs. Without granular visibility into how these resources are consumed, teams struggle to attribute costs accurately. Consider a shared EKS cluster where Team A (Research) runs experimental ML models on […]

Introducing native histogram support in Amazon Managed Service for Prometheus

If you run Kubernetes or microservices workloads on AWS, you probably track latency, request durations, and other value distributions with Prometheus histograms. To do that with classic histograms, you predefine a set of bucket boundaries, and Prometheus emits one time series per boundary plus a sum and a count. A single latency histogram with 20 […]