20 AWS CloudWatch Interview Questions and Answers
Prepare for the types of questions you are likely to be asked when interviewing for a position where AWS CloudWatch will be used.
Prepare for the types of questions you are likely to be asked when interviewing for a position where AWS CloudWatch will be used.
AWS CloudWatch is a monitoring service for AWS resources and the applications you run on AWS. It can be used to collect and track metrics, set alarms, and automatically react to changes in your AWS resources. If you are interviewing for a position that involves AWS, it is likely that you will be asked questions about CloudWatch. In this article, we discuss the most commonly asked CloudWatch questions and how you can answer them.
Here are 20 commonly asked AWS CloudWatch interview questions and answers to prepare you for your interview:
AWS CloudWatch is a monitoring service for AWS resources and the applications running on AWS. CloudWatch provides data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health.
A metric is a time-series data point that represents a specific measurement within your AWS environment. You can use CloudWatch to collect and track metrics from AWS resources in order to monitor your environment and identify issues.
CloudWatch provides metrics on a variety of AWS services, including EC2, EBS, ELB, and RDS. For each service, CloudWatch provides a set of default metrics, which can be further customized by the user. For example, for EC2 instances, CloudWatch provides metrics on CPU utilization, network traffic, and disk activity.
Some important concepts to keep in mind when using CloudWatch include understanding how to create alarms, understanding the different types of metrics that can be monitored, and knowing how to use the CloudWatch Logs feature. Additionally, it can be helpful to have a general understanding of how Amazon Web Services (AWS) work in order to get the most out of CloudWatch.
An application can send custom metrics to CloudWatch by using the CloudWatch API. This allows the application to push custom metrics to CloudWatch, which can then be used to monitor the application.
You can create a dashboard in CloudWatch by clicking on the “Dashboards” link in the left sidebar, and then clicking the “Create Dashboard” button. From there, you will be prompted to give your dashboard a name and description, and then you can begin adding widgets.
Alarms are used in CloudWatch to monitor specific metrics and to trigger actions based on thresholds that you set. For example, you could create an alarm that would send you an email if the CPU utilization of your EC2 instance exceeds 50%.
Yes, it is possible to disable CloudWatch. You can do this by going into the AWS console and selecting the CloudWatch service. From there, you can click on the “Actions” drop-down menu and select “Disable”.
You can integrate CloudWatch with EC2 instances by installing the CloudWatch agent on the instances. The CloudWatch agent allows you to collect metrics and log files from your EC2 instances and send them to CloudWatch.
Amazon CloudWatch is a monitoring service for AWS resources and applications, while Google Stackdriver is a monitoring service for Google Cloud Platform resources and applications. Both services provide similar features, such as the ability to set alarms, create dashboards, and view logs. However, there are some key differences between the two services. For example, Amazon CloudWatch includes support for monitoring Amazon DynamoDB tables, while Google Stackdriver does not. Additionally, Google Stackdriver offers support for monitoring Google Kubernetes Engine clusters, while Amazon CloudWatch does not.
CloudWatch charges for the number of alarms that you have created, as well as the number of metric filters, the number of logs that you have created, and the number of metric alarms that you have created.
CloudWatch provides a number of features that other monitoring tools don’t, including the ability to monitor AWS resources in real-time, set alarms to notify you of changes or issues, and automatically take action in response to changes or issues that are detected. Additionally, CloudWatch can be used to monitor non-AWS resources, such as on-premises servers.
Log groups and log streams are both used in AWS CloudWatch in order to monitor and manage logs. Log groups are used to group together similar logs, while log streams are used to monitor individual logs. Log groups can contain multiple log streams, but each log stream can only belong to one log group.
No, CloudWatch does not automatically remove old logs. You will need to manually remove old logs when you no longer need them.
You need permission to publish logs to CloudWatch if you want to create a new log group or log stream, or if you want to publish to an existing log group or log stream. You also need permission to delete a log group or log stream.
Retention period is the amount of time that CloudWatch will keep your data. The effect that it has on your data is that it will be deleted after the retention period expires.
You can delete all log files from a particular group by using the AWS CloudWatch console. From the CloudWatch console, select the log group that you want to delete, then select the Actions drop-down menu. From the Actions menu, select Delete Log Group.
The maximum number of alarms that can be associated with each action is 100.
The default limit for the number of dashboards that you can display at one time is 100.
Access policies are essentially the rules that you set in order to determine who has access to your CloudWatch data and what actions they are allowed to perform. You can set up access policies so that only certain users or groups can view your data, or you can allow all users to view your data but only allow certain users or groups to perform certain actions.