ANT329-R1: Amazon ES ingest at Pearson-managing high throughput and scale - a podcast by AWS

In adopting a cloud-first strategy, Pearson had to secure and monitor its infrastructure, but with many applications deployed against many services, it needed reliable, fast ingest of logs into a real-time analytics engine. Pearson chose Amazon Elasticsearch Service for monitoring and Amazon Kinesis for ingest. In this session, we explain some Amazon ES basics and common ingest patterns that builders use on AWS. A Pearson representative shares their firsthand experiences developing a reliable and scalable architecture comprising Amazon ES, Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, and AWS Lambda to centralize logs and keep ingestion and access secure.

Further episodes of AWS re:Invent 2019

Further podcasts by AWS

Website of AWS