Kinesis

Indexing the Works of Shakespeare in Elasticsearch – Part 3, Sending the Lines to Kinesis

In this, the third part of the series, I show how to read from the Shakespeare CSV file where each row represents a line from a play, (download here), and send these lines to Kinesis. The lambda in AWS will pick up the lines from Kinesis and forward them to Elasticsearch for indexing.

Nov 25, 2020 # AWS, Elasticsearch, Kinesis, AWS Lambda, Function as a Service

Indexing the Works of Shakespeare in Elasticsearch - Part 2, Bulk Indexing

With Elasticsearch, indexing data in bulk is a more reliable and scalable approach than indexing a high volume of documents one at time. Here is how to achieve this with AWS Kinesis and a Lambda.

Nov 24, 2020 # AWS, Elasticsearch, Kinesis, AWS Lambda, Function as a Service

Indexing the Works of Shakespeare in Elasticsearch - Part 1, Infrastructure as Code

Part one of a four-parter where I’m going to show how to index the complete works of Shakespeare in Elasticsearch. This first part will set up the infrastructure on AWS. The second will go through the lambda that bulk loads data into Elasticsearch. The third will show how to, in Node.js, create the index on the Elasticsearch domain, read the works of Shakespeare from CSV and send to Kinesis, and the fourth will put a .NET 5 Web Api in front of the Elasticsearch cluster.

Nov 17, 2020 # AWS, Elasticsearch, Kinesis, AWS Lambda, Pulumi, Function as a Service