AWS Cloud Operations Blog

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

If your engineering organization uses AI coding agents like Claude Code, usage is likely growing faster than your ability to track it. Token consumption, cost per team, and developer productivity are questions that existing dashboards don’t answer, because the telemetry never made it to your observability backend. With Amazon CloudWatch OpenTelemetry Protocol (OTLP) in General […]

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 […]

Transfer AWS accounts between AWS Organizations while preserving AWS Lake Formation permissions 

Many AWS customers move their AWS accounts between organizations When your company manages more than one organization, and whether you regularly move accounts between them; or you are consolidating accounts after a merger, acquisition, or divesture. Account migrations are part of operating on AWS.   Previously, moving an account meant removing it from the source organization, making it standalone, then inviting it to the target organization. For accounts with AWS Resource Access […]

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 […]