Build a Log Analytic Solution on AWS

One of the most important benefits of using Amazon Kinesis analytics is that it can be made a whole base for evaluating a non-serviceable design. It helps you to understand trends and pattern in the organization. It can be used to solve the problems occur at any point like system failure and identify potentially dire anomalies. It helps you with spotting mistakes before clients do, yet in addition gives you understanding into traffic measurements like the number of individuals have visited your site and which pages get the most hits. Utilize those analyses to make the business interaction more helpful and natural, and you can possibly expand your organization's primary concern. Each of these services is designed to integrate with each other. The properties are shown below. The web server in this model will be an example of the Amazon Elastic Compute Cloud (EC2). We have to install Amazon Kinesis Agent on this Linux machine, and the agent will always send log records to the Amazon Kinesis Firehose delivery stream. Amazon Kinesis Firehose will set each log record in the Amazon Simple Storage Service (Amazon S3) to maintain a solid log data, and the Amazon Kinesis Analytics system will continue to use SQL statement against broadcast input data. The Amazon Kinesis Analytics program will generate data set every minute and extract that data from the second Firehose delivery stream. This Firehose delivery broadcast will record information on the Amazon ES domain. Finally, you will create an idea with broadcast experience using Kibana to think about the product of your framework.