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[Audio] Good morning everyone. Today, we will be discussing our company's approach to data processing and storage on Elasticsearch. In this presentation, we will discuss our Logstash based filtering approach and our Ingest Pipeline approach. Let's begin..
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[Audio] Our Logstash based filtering and Ingest Pipeline approach for data processing and storage on Elasticsearch is showcased in this screenshot. To help you get up and running with our product swiftly and cost-effectively, we offer comprehensive tutorials that take you through the setup process step by step, allowing you to take full advantage of our product’s features and functionality in a short amount of time..
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[Audio] Filebeat is an important part of the Logstash based filtering approach. It reads logs with distinct starting and ending points and forwards them to Logstash. Logstash can then process the data according to predefined rules and pass it on to Elasticsearch for storage in a specified index. Data stored in Elasticsearch can be used for visualization purposes. Alternatively, the Ingest Pipeline approach is used if data from a single index needs to be processed and stored in another index. In conclusion, the Logstash based filtering approach ensures that only data matching certain criteria is sent to Elasticsearch for storage, and the Ingest Pipeline approach is used when data from one index needs to be processed and stored in another..