Log analytics is a common big data use case that allows you to analyze log data from websites, mobile devices, servers, sensors, and more for a wide variety of applications including digital marketing, application monitoring, fraud detection, ad tech, gaming, and IoT. In this tech talk, we will walk you step-by-step through the process of building an end-to-end analytics solution that ingests, transforms, and loads streaming data using Amazon Kinesis Firehose, Amazon Kinesis Analytics and AWS Lambda. The processed data will be saved to an Amazon Elasticsearch Service cluster, and we will use Kibana to visualize the data in near real-time.
1. Reference architecture for building a complete log analytics solution
2. Overview of the services used and how they fit together
3. Best practices for log analytics implementation