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Amazon CloudWatch is a monitoring and management service built for developers, system operators, site reliability engineers (SRE), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, understand and respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications and services that run on AWS, and on-premises servers. You can use CloudWatch to set high resolution alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to optimize your applications, and ensure they are running smoothly.
Access all your data from a single platform
Modern applications are distributed (that is, they run on microservices architectures) and generate lots of data in the form of metrics, logs, and more. You need a way to easily collect, access, and correlate these data points from individual sources in silos (server, network, database, etc.) to effectively monitor applications and infrastructure resources. Amazon CloudWatch enables you to collect metrics and logs from all your AWS resources, applications, and services that run on AWS and on-premises servers, helping you break down data silos so you can easily gain system-wide visibility.
Easiest way to collect custom and granular metrics for AWS resources
Monitoring your AWS resources is easy with Amazon CloudWatch. CloudWatch is natively integrated with more than 70 AWS services such as Amazon EC2, Amazon DynamoDB, Amazon S3, Amazon ECS, AWS Lambda, Amazon API Gateway, etc. that automatically publish detailed 1-minute metrics and custom metrics with up to 1-second granularity. You can use AWS Systems Manager to install a CloudWatch Agent, or you can use the CloudWatch API to easily collect, publish, and store this data in CloudWatch.
Visibility across your applications, infrastructure, and services
Gaining visibility across your distributed stack means correlating and visualizing metrics and logs to quickly pinpoint and resolve issues. With Amazon CloudWatch, you can visualize key metrics like CPU utilization and memory. You can also correlate a log pattern, e.g. error to a specific metric to quickly get the context and go from diagnosing the problem to understanding the root cause.
Improve total cost of ownership
Amazon CloudWatch enables you to set high resolution alarms and take automated actions. This means freeing up important resources to focus on adding business value. For example, you can get alerted on Amazon EC2 instances and set up Auto Scaling to add or remove instances. You can also execute automated responses to detect and shut down unused EC2 resources, reducing billing overages and improving resource optimization.
Optimize applications and operational resources
You need a unified operational view, real-time granular data, and historical reference to optimize performance and resource utilization. With Amazon CloudWatch, you get enhanced monitoring with 1-second granularity and up to 15 months of metrics storage and retention. You can also leverage native CloudWatch features, such as Metric Math, to perform calculations on your metric data. For example, you can aggregate usage across an entire fleet of EC2 instances to derive operational and utilization insights.
Derive actionable insights from logs
Amazon CloudWatch Logs Insights enables you to explore, analyze, and visualize your logs instantly, allowing you to troubleshoot operational problems with ease. With Logs Insights, you only pay for the queries you run. Logs Insights scales with your log volume and query complexity giving you answers in seconds. In addition, you can publish log-based metrics, create alarms, and correlate logs and metrics together in CloudWatch Dashboards for complete operational visibility.
Monitor key metrics and logs, visualize your application and infrastructure stack, create alarms, and correlate metrics and logs to understand and resolve root cause of performance issues.
Enable CloudWatch Alarms to automate capacity and resource planning through Auto Scaling.
Trigger automated CloudWatch Alarms and Lambda workflows to improve customer experience.
Explore, analyze, and visualize your logs instantly to address operational issues and improve applications performance.
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