Category: Amazon CloudWatch

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 July was a busy month for AWS Observability. We launched features to make the telemetry you already collect more actionable, and take the operational work of collecting it off your hands. Log analytics moved closer to action with alarms that run straight from a log query and enrichment that happens at ingestion. Application-level observability […]

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 […]

Teams running hybrid or multi-cloud estates collect telemetry from proprietary appliances, on-premises Application Performance Monitoring (APM) tools, home-grown agents, and Apache Kafka streams that all must be parsed, normalized, and routed before it’s useful. Amazon CloudWatch lets you collect logs from 60+ AWS services, 20+ third-party tools, and your own applications using CloudWatch pipelines, HTTP […]

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 […]

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 […]

Deploy an OpenTelemetry gateway on Amazon EKS, export metrics to CloudWatch over native OTLP, and monitor the pipeline’s own health with PromQL dashboards and alarms.