Category: Management & Governance

Introduction August and September brought the general availability of Amazon CloudWatch Omni, an AI-first, app-centric observability experience that brings together telemetry across AWS accounts, Regions, and Azure workloads in a single space. Alarms gained warm-up periods and wall clock evaluation windows, cutting the noise that comes from startup gaps and rolling-window edge cases. Database observability […]

An AI-powered observability experience for AI agents and applications, built on open standards and delivered outside of the AWS Console.  Organizations are handing agents the keys to their day-to-day operations, from resolving support tickets and managing infrastructure to approving expenses, shipping production code, and increasingly the long tail of workflows that keep the business running. […]

Introduction Teams running Prometheus-instrumented workloads, whether on Kubernetes, Amazon EC2, containers, or on-premises servers, face a growing challenge: alert fatigue from static threshold monitoring and hours spent manually investigating performance degradations. These teams can significantly reduce time spent investigating false positive alerts and manually correlating metrics by implementing automated root cause analysis. When real issues […]

AWS CloudTrail now integrates with Amazon Q in the AWS Management Console, letting you investigate your AWS account activity using plain language. CloudTrail records API activity across your AWS account for security auditing, compliance, and operational troubleshooting. Getting insights from this data has traditionally meant writing queries in Amazon Athena or Amazon CloudWatch Logs Insights, […]

Modern cloud-native applications generate rich telemetry across metrics, logs, and deployment histories. When performance degrades, operations teams have the data, but the challenge is correlating signals across multiple tools quickly enough to minimize customer impact. Root cause analysis remains a largely manual process dependent on institutional knowledge and operator experience. This post shows how AWS […]

Summary ​Amazon CloudWatch Logs now supports Application Load Balancer (ALB) logs as vended logs, giving you out-of-the-box visibility into the health and performance of your ALB. All three ALB log types (access, connection, and health check) are delivered as structured JSON with named fields. This allows teams to attribute 5xx errors to the load balancer […]

Triaging the impact of AWS Health events is one of the most repetitive jobs in cloud operations, and it is exactly the kind of work AWS DevOps Agent can take on. Scheduled maintenance, operational issues, and Trust & Safety notifications (alerts about resources that may violate the AWS Acceptable Use Policy) land in your inbox […]

Organizations running serverless workloads across multiple cloud providers face a specific observability challenge. There is no persistent compute to host a telemetry collector, no sidecar to attach, and no daemon running between invocations. The standard OpenTelemetry deployment model (application to local collector to a telemetry backend) does not apply in this environment. Authentication presents an […]

Your on-premises firewalls, routers, and switches emit syslog that record device events such as denied connections, tunnel state changes, and routing changes. Network devices send their logs over syslog rather than the Amazon CloudWatch Logs API, so bringing that data into AWS takes extra components. A common approach has been to run a collection tier […]

Introduction As organizations scale their AWS footprint across multiple accounts and Regions, operations teams increasingly rely on Amazon CloudWatch Metrics Insights alarms with GROUP BY to monitor entire fleets from a single alarm. When this single alarm tracks hundreds of resources, a critical operational question arises: how do you ensure that every individual breach is […]