AWS Cloudwatch Logs: Monitoring, Analysis, and Insights

Answer - A,B and C.

Amazon Kinesis can be used for rapid and continuous data intake and aggregation.

The type of data used includes IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data.

Amazon Lambda is a web service which can be used to do serverless computing of the logs which are published by Cloudwatch logs.

Amazon Elasticsearch Service makes it easy to deploy, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more.

For more information on Cloudwatch logs please see the below link:

As a DevOps Engineer, you are planning on using Amazon CloudWatch for monitoring the resources hosted in AWS. Amazon CloudWatch is a monitoring and management service provided by AWS. It provides data and actionable insights to monitor applications, infrastructure, and services. One of the primary features of Amazon CloudWatch is the ability to log data. CloudWatch Logs provides an easy and cost-effective way to collect, process, and analyze logs from EC2 instances, CloudTrail, Lambda functions, VPC Flow Logs, and many other AWS resources.

The following are the three things that you can do with CloudWatch logs:

A. Stream the log data to Amazon Kinesis for further processing: Amazon Kinesis is a platform for streaming data on AWS. You can use CloudWatch Logs to stream log data in near real-time to Amazon Kinesis. This is useful when you want to process the log data in real-time, for example, to run real-time analytics, alerting, or other custom applications.

B. Send the log data to AWS Lambda for custom processing: You can use AWS Lambda to perform custom processing on log data. Lambda is a serverless compute service provided by AWS. With Lambda, you can write custom code to process log data in real-time. You can use Lambda to parse log data, transform it, and perform custom analysis on the data.

C. Stream the log data into Amazon Elasticsearch for any search analysis required: Amazon Elasticsearch is a search and analytics engine that you can use to analyze log data. You can use CloudWatch Logs to stream log data into Amazon Elasticsearch in near real-time. This is useful when you want to perform complex analysis on the log data, for example, to identify patterns, trends, or anomalies.

D. Send the data to SQS for further processing: This answer is incorrect because sending CloudWatch Logs to Amazon Simple Queue Service (SQS) is not one of the features of CloudWatch Logs. SQS is a messaging service provided by AWS, but it is not designed to receive CloudWatch Logs.

In conclusion, the correct answers are A, B, and C. You can use CloudWatch Logs to stream log data to Amazon Kinesis for further processing, send log data to AWS Lambda for custom processing, and stream log data into Amazon Elasticsearch for search and analysis.