AWS CloudWatch: A Beginner's Guide

Observability and monitoring are provided through Amazon's AWS CloudWatch service. DevOps engineers, SREs, IT managers, and normal developers primarily use it to keep track of actionable application monitoring data. It's also used to respond to changes in system performance and resource utilisation.

Metrics, events, and logs can all be collected via AWS CloudWatch. CloudWatch gets all of its operational and monitoring data from AWS apps, services, and resources. This service has helped developers improve their abilities in a variety of ways. And the goal of this article is to help you better comprehend all of the important aspects of it.



Functionality

To put it another way, AWS CloudWatch is a metric repository! Amazon EC2 saves metrics in a repository from which statistics can be retrieved based on the metrics. Developers can generate a graphical representation of these metrics and information in the CloudWatch console.

You can also use alarming actions in AWS CloudWatch to start, halt, or terminate an EC2 instance if certain criteria are met. Aside from that, developers can configure alarms to automatically scale Amazon SNS and Amazon EC2 on your behalf.

AWS CloudWatch can monitor Amazon RDS database instances, Amazon DynamoDB tables, and Amazon EC2 instances, among other AWS services. Aside from that, it helps you track all of the custom metrics that your services and apps generate. Any log files generated by your apps can now be monitored using the AWS CloudWatch dashboard.

Tier 1 is free.

The benefits of using Amazon CloudWatch's free tier are as follows:

Every five minutes, basic monitoring metrics are collected.

At 1-minute intervals, ten detailed metrics are monitored.

It has the capacity to handle a million API requests. However, GetMetricWidgetImage and GetMetricData are unaffected.

You'll get three dashboards per month, each with up to 50 metrics.

There are eleven metrics for alarms. For high-resolution instances, though, you won't be able to do the same.

All events, with the exception of bespoke events, are included in the free tier.

For data ingestion, archiving, and storing data scanned by Logs Insights queries, you get 5 GB of storage space.

You'll get one contributor insights rule every month.

You'll also get 100 canary runs every month.

With Amazon CloudWatch's free tier, you get only this, which is more than adequate for most of your applications.

CloudWatch's Custom-Metrics Monitoring Potential

AWS CloudWatch can monitor all of the configurable metrics in the premium tier. It compiles all of the data produced by scripts, apps, and services. It can also collect or include almost anything, from application work executions to web page load times.

When monitoring custom metrics, the PutMetricData API should be used first and foremost. It's the most practical way to get started with monitoring in this area. There are, however, a myriad of other tools and apps that will be utilised to begin monitoring custom metrics with CloudWatch.

Amazon CloudWatch allows you to keep track of operational performance, solve issues, find patterns, and make other modifications by monitoring custom metrics on applications.

User activity on applications is one of the most popular examples of custom metrics that can be acquired and tracked over time for various purposes.

Thank you for taking the time to read this.

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