Tag: Amazon CloudWatch

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 […]

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 […]

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 […]

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 […]

Introduction Enterprise applications using AWS X-Ray generate large volumes of distributed tracing data across multiple services. Static sampling strategies keep costs down by capturing a fixed percentage of traffic. However, they frequently miss critical data during intermittent failures or sudden latency spikes. Tracing every request for maximum visibility at scale may increase sampling costs for […]

Today, we’re excited to announce new enhanced features in Amazon CloudWatch Application Signals that simplifies how you monitor large-scale distributed applications. Improvements to CloudWatch Application Signals application map automatically discovers and organizes services into groups based on their relationships, with support for custom grouping that aligns with your business perspective. You can now view the […]

Managing logs across multiple AWS accounts and regions has always been a complex challenge for organizations. As AWS infrastructure grows to include separate accounts for production, development, and staging environments, along with regions, the complexity of log management increases exponentially. During critical incidents, especially during off-hours, teams spend valuable time, searching through multiple accounts, correlating […]

Managing metrics collection at scale in complex cloud environments presents significant challenges for organizations, particularly when it comes to controlling costs and maintaining operational efficiency. As the volume of metrics grows exponentially with the expansion of container deployments and other cloud-native workloads, customers often struggle to balance comprehensive monitoring with resource optimization. This can lead […]

In practice: SLO monitoring with CloudWatch Application Signals In the previous post, we’ve shared the basic concepts and benefits of burn rate monitoring. In this post, we, the Amazon Product Search team, will share anecdotes from our migration from an in-house solution to CloudWatch Application Signals, and introduce how we actually implement monitoring and dashboards. […]

In theory: SLO concepts applied to Amazon Product Search In this series of posts, we will show you how we, the Amazon Product Search team, monitor key systems using Service Level Objectives (SLOs) and share our migration journey from an in-house solution to Amazon CloudWatch Application Signals. Amazon Product Search is a large distributed system […]