A three-tier application is deployed within AWS cloud infrastructure.
The Operations team is analyzing logs from multiple resources to identify ERROR and associated details with the application.
Due to the large size of logs, searching takes a longer time.
Team is looking up to your suggestion which will speed up the search. Which setting can be applied to identify the error from logs quickly?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: D.
Filter Patterns can be used to search specific entries in a log file.
Filter patterns can search from all log streams within a log group or a specific log stream.
Also, a time range can be used to narrow down the search, which speeds up the search.
In the above case, the Operations Team is trying to search for ERROR messages in log files.
For this, they can use a filter pattern as ERROR in a specific log stream in a time range which can speed up the search.
Options A & B are incorrect as not specifying time range will search entire logs slowing down the search.
Option C is incorrect as Log Groups consist of multiple log streams.
To speed up a query in a log file, a specific log stream is a better option than looking into entire log streams within a log group.
For more information on searching log data using filter patterns, refer to the following URL,
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/SearchDataFilterPattern.htmlSure, I'd be happy to provide a detailed explanation!
First, it's important to understand what a three-tier application is. A three-tier application is a type of application architecture that consists of three tiers or layers: the presentation tier, the application tier, and the data tier. The presentation tier is the user interface layer, the application tier is the processing layer, and the data tier is the storage layer.
In this scenario, the Operations team is analyzing logs from multiple resources to identify ERROR and associated details with the application. Due to the large size of logs, searching takes a longer time. The team is looking for suggestions on how to speed up the search.
To speed up the search, the team can use metric filters. Metric filters are a powerful tool in Amazon CloudWatch that can be used to search log data for specific terms or patterns. They can be used to extract metric data from log events and send that data to CloudWatch Metrics. This allows you to create custom metrics and alarms based on log data.
The answer options are as follows:
A. Use metric Filter matching term ERROR & search in a log group without time range.
B. Use metric Filter matching term ERROR & search in a specific log stream without time range.
C. Use metric Filter matching term ERROR and search in a log group with a time range.
D. Use metric Filter matching term ERROR and search in a specific log stream with a time range.
Option A suggests using a metric filter to match the term "ERROR" and searching in a log group without a time range. This option is not ideal because it does not limit the search to a specific time frame, which can result in a large number of log events being searched. This can cause the search to take a long time and may not return the desired results.
Option B suggests using a metric filter to match the term "ERROR" and searching in a specific log stream without a time range. This option is also not ideal because it does not limit the search to a specific time frame, which can result in a large number of log events being searched. This can cause the search to take a long time and may not return the desired results.
Option C suggests using a metric filter to match the term "ERROR" and searching in a log group with a time range. This option is a good choice because it limits the search to a specific time frame, which can help to reduce the number of log events being searched. This can speed up the search and help the Operations team to identify errors more quickly.
Option D suggests using a metric filter to match the term "ERROR" and searching in a specific log stream with a time range. This option is also a good choice because it limits the search to a specific time frame and a specific log stream, which can help to further reduce the number of log events being searched. This can speed up the search even more and help the Operations team to identify errors more quickly.
In summary, the best options to speed up the search for errors in the logs of a three-tier application deployed within AWS cloud infrastructure are options C and D. The Operations team can use a metric filter to match the term "ERROR" and search in a log group or a specific log stream with a time range to limit the search and identify errors more quickly.