Amazon CloudWatch in 60 Minutes: Monitor your AWS resources

Understand how Amazon CloudWatch monitors applications and resources, detects anomalies, and visualizes logs and metrics. Create alarms, automate responses, and scale resources based on thresholds to protect performance and health.

Explore how CloudWatch ingests, stores, analyzes, and visualizes data with dashboards, alarms, metrics, logs, and events, using an integrated service to unify insights and CloudWatch Synthetics to monitor endpoints.

CloudWatch stores and manages logs and metrics data from AWS services and on-premise resources, with dashboards, graphs, alarms, IAM permissions, and actions for EC2 and auto scaling.

Learn to build customizable dashboards in CloudWatch to monitor AWS resources across regions, tailor metric colors, and share critical components with your team for faster incident response and playbook-guided actions.

Discover how Amazon CloudWatch alarms monitor metrics and trigger actions—from notifications to Lambda invocations and auto-scaling—using metric and composite alarms.

Centralize logs from CloudTrail, Route 53, and on-premise systems in a single CloudWatch Logs service, enabling search, filtering, dashboards, and retention from one day to ten years.

Learn how cloud watch metrics monitor resource performance with five-minute updates, detailed monitoring, and custom metrics like user activity to detect trends, troubleshoot issues, and retain data for 15 months.

Explore how Amazon CloudWatch Events captures system events and resource changes, monitors EC2 instance state transitions, triggers notifications, functions, or streams, and schedules nightly backups with cron expressions.

Visualize and analyze your application's health, performance, and availability with CloudWatch ServiceLens, which integrates metrics, logs, and alarms, and leverage AWS X-Ray for end-to-end insight into latency, errors, and traffic.

Monitor your application with synthetics scripts or canaries, imitating user experience and checking availability, latency, API health, and code injections, with alarms mapped to the resource for faster incident response.

Compare logs and metrics in Amazon CloudWatch. Learn how logs capture events as messages and how metrics measure resources at fixed intervals, while metric filters convert logs into graphable data.

Create a CloudWatch dashboard by adding a line widget for ECS utilization and a number widget for healthy hosts behind the load balancer, then adjust time frames and arrange widgets.

Learn to create cloud watch alarms by selecting a metric (healthy hosts), setting a minimum over one minute with a static threshold, and using sns notifications and composite alarms.

Select a CloudWatch metric, create a graph widget, set the time frame, and add the graph to an existing or new dashboard to visualize resource utilization.

Create and configure a CloudWatch event rule for EC2 instance state changes and a five-minute schedule, targeting an SNS topic or a Lambda function.

Explore how CloudWatch ServiceLens uses service maps, traces, and dashboards to monitor an application, diagnose latency, errors, and inter-service communications.

Explore CloudWatch Synthetics canaries to monitor your application's health with heartbeat monitoring, templates, and scripts, schedule runs, and store data in an S3 bucket with IAM role permissions.

Learn to fetch Amazon CloudWatch data with Python and Boto3 by configuring credentials, querying metric statistics for a namespace and instance, and printing minute-by-minute averages for the last ten minutes.

Push custom metrics to CloudWatch with a Python script that scrapes a site and sends the count as a metric under a namespace, then view updates in CloudWatch.

Learn best practices for Amazon CloudWatch alerts that are urgent and actionable, assign on-call responders, and use playbooks to resolve incidents quickly and prevent recurrences.

Explore amazon cloudwatch for monitoring aws resources across cloud and on premise. Learn to build dashboards, alarms, metrics, logs, events, and synthetics, and use custom metrics with python.

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