{"id":2958,"date":"2023-08-16T13:28:06","date_gmt":"2023-08-16T12:28:06","guid":{"rendered":"https:\/\/www.easydeploy.io\/blog\/?p=2958"},"modified":"2023-08-17T07:05:15","modified_gmt":"2023-08-17T06:05:15","slug":"cloud-trail-vs-cloudwatch-detailed-comparison","status":"publish","type":"post","link":"https:\/\/www.easydeploy.io\/blog\/cloud-trail-vs-cloudwatch-detailed-comparison\/","title":{"rendered":"Cloud trail vs Cloudwatch | Detailed Comparison"},"content":{"rendered":"

Effective <\/span>monitoring<\/b> plays a crucial role in the<\/span> maintenance stage<\/b> of the software development lifecycle. With businesses increasingly transitioning to cloud-based environments, the importance of<\/span> Cloud monitoring <\/b>has amplified for ensuring application security, reliability, and availability.<\/span><\/p>\n

Within the realm of cloud monitoring, <\/span>AWS Cloud <\/b>provides a range of valuable tools. Among them,<\/span> CloudTrail and CloudWatch<\/b> stand out as the most widely used and indispensable <\/span>AWS <\/span><\/a>Services.<\/span><\/p>\n

In this blog post, we will conduct a comprehensive comparison of <\/span>CloudTrail vs Cloudwatch<\/b>, delving into their distinctive features, capabilities, and the similarities that tie them together.<\/span><\/p>\n

What is Cloud Monitoring?<\/strong><\/h2>\n

Cloud monitoring<\/b> helps you determine if your applications on the cloud are meeting their Service-Level Agreement (SLA), detect possible security concerns, spot capacity problems, and analyze expenses.<\/span><\/p>\n

A cloud monitoring platform can <\/span>swiftly identify<\/b> the triggers behind performance issues in <\/span>cloud applications<\/b>. By setting up a monitor for <\/span>SaaS applications<\/b> through a tool like Applications Manager, users gain access to performance data that can be instrumental in managing business processes effectively.<\/span><\/p>\n

Cloud monitoring solutions allow you to monitor your <\/span>cloud resources<\/b> and <\/span>services<\/b>. The main goals of cloud monitoring are to ensure top-notch performance, proper billing, and robust security. You can opt for a <\/span>single tool<\/b> or a<\/span> mix of several<\/b>. But it’s important to ensure that the solution you select fulfills <\/span>vital criteria<\/b> such as seamless cloud integration, pricing tailored for cloud environments, and the ability to scale as needed.<\/span><\/p>\n

What is AWS CloudWatch?<\/strong><\/h3>\n

AWS CloudWatch<\/b> is a Cloud monitoring service that helps to monitor the <\/span>AWS resources<\/b> and applications in real-time settings. It holds the report to determine what is occurring with the AWS resources. It employs certain terms such as <\/span>metrics<\/b>, <\/span>alarms<\/b>, <\/span>cloud watch events<\/b>, <\/span>cloud watch dashboards<\/b>, and <\/span>cloud watch logs<\/b>. They are certainly used for collecting, accessing, and visualizing the data on a single platform across the resources and applications of the <\/span>AWS platform<\/b>.<\/span><\/p>\n

CloudWatch Metrics<\/strong><\/h4>\n

CloudWatch Metrics refers to <\/span>time-ordered data<\/b> points and it plays a prime role in monitoring the <\/span>AWS resources performance<\/b>. If you consider the metrics as namespaces for representing and keeping the data point values. <\/span>For instance, the metrics <\/span>CPU Utilization metric<\/b> helps to estimate allocated computation units of EC2 that are used in the instance.<\/span><\/p>\n

CloudWatch Events and Targets<\/strong><\/p>\n

CloudWatch Events<\/b> offer a powerful way to monitor and respond to changes in <\/span>AWS resources<\/b>. It provides a continuous, real-time stream of operational events, like the creation of <\/span>AWS RDS instances<\/b>. When CloudWatch Events receives these<\/span> event streams<\/b>, it takes action by initiating various responses, such as sending notifications.<\/span><\/p>\n

The process of Cloudwatch events begins with <\/span>creating a Rule<\/b>, which defines specific conditions to evaluate <\/span>incoming events<\/b> against preset thresholds. Once an event meets the <\/span>Rule’s criteria<\/b>, it is sent to designated <\/span>Targets<\/b> for further processing.<\/span><\/p>\n

Cloudwatch Targets <\/b>can be diverse and versatile, catering to various needs. They include Amazon EC2 instances, AWS Lambda functions, Kinesis streams, Amazon SNS topics, Amazon SQS queues, and even built-in targets for specific AWS service lists. This flexibility enables users to tailor their response actions according to the nature of the events and their specific requirements.<\/span><\/p>\n

CloudWatch Logs\u00a0<\/strong><\/h4>\n

The <\/span>log details<\/b> from the AWS resources will be aggregated from the <\/span>CloudWatch Logs<\/b>. It can be used as a centralized <\/span>log service<\/b> as it collects the data from all of the AWS resources.\u00a0<\/span><\/p>\n

The <\/span>CloudWatch Agent<\/b> will send the log details to the <\/span>CloudWatch logs<\/b> and you can be able to <\/span>query, group, sort<\/b>, and <\/span>process<\/b> the log data in the respective dashboards. Two important factor plays a major role in the AWS CloudWatch Logs such as:<\/span><\/p>\n

    \n
  1. Log Streams<\/b>: It means sequences of events that may come from the same AWS resource<\/span><\/li>\n
  2. Log Groups<\/b>: These represent groups of Log Streams that can be able to share some monitoring settings<\/span><\/li>\n<\/ol>\n

    CloudWatch Alarms<\/strong><\/h4>\n

    Cloudwatch Alarms<\/b> are aptly named as they<\/span> trigger actions<\/b> when specific conditions are met. This <\/span>AWS Service<\/span><\/a> continuously monitors <\/span>AWS<\/b> CloudWatch Metrics<\/b> and proactively notifies you when the metrics cross predefined threshold levels.<\/span><\/p>\n

    When setting up an Alarm, you define three essential properties:<\/span><\/p>\n