A Complete Overview On Aws Cloudwatch From Hkr Trainings

By Author: AMMU
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AWS CloudWatch provides real-time visibility into resource utilization, application performance, and operational health, and it offers a range of features such as alarms, dashboards, and automated actions to help users quickly identify and troubleshoot issues.Some of the key features of AWS CloudWatch include:
Metrics: CloudWatch can collect and store metrics on various AWS resources, such as EC2 instances, RDS databases, and ELB load balancers, as well as custom metrics from applications running on AWS.
Logs: CloudWatch can collect, monitor, and analyze log data from various sources, such as AWS services, applications, and operating systems, and it offers advanced search and filtering capabilities.
Events: CloudWatch can capture and respond to events from AWS resources and applications, such as changes to security groups, application failures, and system health checks.
Alarms: CloudWatch can trigger alarms based on metrics or events and notify users via email, SMS, or other means when specified thresholds are breached.
Dashboards: CloudWatch provides customizable dashboards to visualize and analyze ...
... metrics and logs, and it offers integration with other AWS services such as AWS Lambda, AWS Glue, and Amazon Kinesis.
Overall, AWS CloudWatch is a powerful tool for monitoring and troubleshooting applications and resources on AWS, and it can help users optimize performance, enhance security, and reduce operational costs.
Amazon CloudWatch is a monitoring and logging service offered by Amazon Web Services (AWS) that enables you to collect, store, and monitor logs and metrics from various AWS services, applications, and resources. It allows you to gain insight into your applications and infrastructure performance, and helps you troubleshoot issues, optimize resource utilization, and take action when necessary.Here's how Amazon CloudWatch works:
Data collection: Amazon CloudWatch collects log data and metrics from various sources such as EC2 instances, AWS Lambda functions, AWS CloudTrail, and other custom applications. You can also use CloudWatch agents or SDKs to send custom metrics to CloudWatch.
Data storage: CloudWatch stores the collected data in a secure, durable, and scalable manner. It uses Amazon S3 to store log data and Amazon DynamoDB to store metric data.
Data analysis and visualization: CloudWatch provides a dashboard and other visualization tools to help you analyze and visualize your data. You can create custom dashboards, set alarms, and create metrics filters to view and analyze data in real-time.
Action and automation: CloudWatch enables you to automate actions based on data analysis and alarms. You can create custom rules to trigger actions such as sending notifications, auto-scaling, or executing AWS Lambda functions.
Overall, Amazon CloudWatch simplifies the process of monitoring and troubleshooting your applications and infrastructure by providing a single platform to collect, store, and analyze log and metric data, and automate actions based on your business needs.
VISIT: https://hkrtrainings.com/aws-cloudwatch