For DevOps engineers, developers, site reliability engineers (SREs), IT managers, and product owners, Amazon CloudWatch provides a monitoring and observability solution. CloudWatch provides statistics and actionable insights to help you monitor your apps, respond to system-wide performance changes, and optimize resource usage. Monitoring and operational data are collected via CloudWatch logs, metrics, and events. You get complete visibility over your AWS resources, apps, and services, both on AWS and on-premises, as well as a single view of operational health. You can use CloudWatch to detect abnormal behaviour in your environments, trigger alerts, compare logs and metrics side by side, take automated actions, troubleshoot issues, and uncover insights to keep your apps running smoothly.

Benefits

Use a single platform for observability

In the form of metrics, logs, and events, modern applications, such as those built on microservices architectures, generate massive amounts of data. Amazon CloudWatch provides you to collect, retrieve, and correlate data from all of your AWS resources, apps, and services running on AWS and on-premises on a single platform, allowing you to break down data silos and swiftly resolve issues.

Collect metrics on AWS and on premises

CloudWatch makes it simple to keep track of your AWS resources and apps. More than 70 AWS services, including Amazon EC2, Amazon DynamoDB, Amazon S3, Amazon ECS, Amazon EKS, and AWS Lambda, are natively integrated. It delivers precise one-minute metrics and custom metrics with up to one-second granularity automatically, allowing you to go deeper into your logs for more information. CloudWatch can also be used in hybrid setups to monitor on-premises resources utilizing the CloudWatch Agent or API.

Improve operational performance and resource optimization

Set alarms and automate actions based on established criteria or machine learning (ML) algorithms that detect aberrant metrics. To avoid billing overages, you can, for example, initiate Amazon EC2 Auto Scaling automatically or halt an instance. CloudWatch Events may also be used to initiate serverless workflows with AWS Lambda, Amazon SNS, and AWS CloudFormation.

Get operational visibility and insight

You’ll need a single operational perspective, real-time granular data, and historical references to maximize performance and resource use. CloudWatch offers automatic dashboards, one-second granularity data, and metrics storage and preservation for up to 15 months. Metric math may also be used to extract operational and consumption insights from your data; for example, you can aggregate EC2 instance usage across a whole fleet.

Derive actionable insights from logs

You can easily troubleshoot operational issues by exploring, analyzing, and visualizing your logs. You only pay for the queries you run with CloudWatch Logs Insights. It adapts to the size of your logs and the intricacy of your queries, providing instant results. In CloudWatch Dashboards, you can also publish log-based metrics, create alarms, and correlate logs and metrics for total operational visibility.

How it works

CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, and visualizes it using automated dashboards to provide you a single view of your AWS resources, applications, and services running on AWS and on premises. You can use experimentation to visualize your app’s end-user experience and validate design decisions. Correlate your metrics and logs to have a better understanding of your resources’ health and performance. Create alarms based on metric value thresholds you set, or alarms that check for unusual metric behaviour using machine learning methods. Set up automated steps, for example, to inform you when an alarm is raised and to start auto scaling automatically to help reduce mean time to resolution (MTTR).

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