You are running a multi-tier architecture on AWS with webserver instances running Nginx.
Your users are getting errors when they use the web application.
How can you diagnose the errors quickly and efficiently?
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - B.
The AWS Documentation mentions the following.
You use metric filters to search for and match terms, phrases, or values in your log events.
When a metric filter finds one of the terms, phrases, or values in your log events, you can increment the value of a CloudWatch metric.
For example, you can create a metric filter to search for and count the occurrence of the word ERROR in your log events.
For more information on Cloudwatch logs Analysis,please see the below link:
http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/FilterAndPatternSyntax.htmlIf users are receiving errors when using your web application, it's essential to diagnose the root cause of the issue quickly and efficiently. One way to achieve this is by analyzing the Nginx access logs. Nginx is a popular web server that can generate extensive access logs, which record all the requests received by the server.
To diagnose errors in a multi-tier architecture on AWS with webserver instances running Nginx, you can follow the below steps:
Install CloudWatch Logs Agent: CloudWatch Logs Agent is a tool that enables you to send log data from your EC2 instances to CloudWatch Logs. You can install the CloudWatch Logs Agent on your EC2 instances to collect Nginx access logs.
Send Nginx access log data to CloudWatch: Once you have installed the CloudWatch Logs Agent, you can configure it to send Nginx access logs to CloudWatch Logs. By doing this, you can centralize all your log data and quickly access it for analysis.
Filter the log streams: After sending the logs to CloudWatch, you can filter the log streams to search for relevant errors. You can use CloudWatch Logs Insights, a fully managed service, to analyze and visualize your logs. It makes it easy to search and filter log data, and it provides powerful query language support.
Use a third-party logging and graphing tool: If you want to use a third-party tool for analyzing your log data, you can pipe the log data through to the tool. Many third-party logging and graphing tools, such as Splunk and Datadog, can integrate with CloudWatch Logs.
Option A is the correct answer since it suggests installing the CloudWatch Logs Agent, sending Nginx access log data to CloudWatch, and then piping the log data through to a third-party logging and graphing tool for quick and efficient error diagnosis. Option B is partially correct, as it suggests filtering the log streams for searching the relevant errors but does not mention the use of a third-party tool. Option C and D are incorrect since they suggest sending all the errors to AWS Lambda or AWS Config for processing, which is not an efficient way to diagnose errors in Nginx access logs.