After the experience with the previous architecture (Logstash managing ingestion, and Camel enriching documents) I reached a point where both processes were competing instead of cooperating.The couchdb_changes feed kept firing endless update events, and Logstash’s incremental ingestion model no longer made sense for my workload. I needed more control. I Read more
As my journey with the Elastic Stack progressed, I became increasingly curious about how artificial intelligence could enhance my projects beyond data storage and search. One area that has always fascinated me is speech-to-text transcription: the ability to transform spoken language into accurate, searchable text. This is where using Vosk Read more
As part of this phase in my development workflow, I set out to create a seamless data pipeline: Logstash would extract data from CouchDB, transform it, and push the final result into Elasticsearch. This setup is foundational for many modern applications that require fast and flexible search capabilities on semi-structured Read more
When I set out to build my own Elastic Stack environment, my primary goal was to use Logstash as a flexible data pipeline — pulling data from CouchDB and pushing it into Elasticsearch for fast, scalable search and analysis. By leveraging Logstash, I gained the ability to connect to various Read more
