Working with the ELK Stack: Elasticsearch, Logstash, Kibana & other plugins. Will soon also include examples working with AWS OpenSearch & OpenSearch Dashboards.
🚧 This repository is currently being refined and improved. Stay tuned!
- Please read through each example file completely before running it — setup steps or prerequisites are often noted inline.
- Scripts/configs are periodically updated and may need adjustment depending on the Elasticsearch/OpenSearch version you're using (check the version noted at the top of each file, if present).
- Any datasets referenced here can be found in my Datasets_For_Work repository.
Cluster_n_components_setup/— Setting up ELK clusters and individual components (Elasticsearch, Logstash, Kibana, plugins)AI-Integration/— AI/ML integration with Elasticsearch (e.g. embeddings, semantic/multimodal search)ScenarioTesting/— Testing specific real-world scenarios and use cases on the stackWorking_exmpls/— Standalone working examples and reference scripts
This repository is licensed under the MIT License — free to use, fork, and build on.
📩 Extended, production-grade versions of these projects (additional pipelines, monitoring, scaling, and integration work) are maintained separately and available for commercial licensing or collaboration. Reach out via GitHub if interested.