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  1. A deterministic generator for an industrial-supply catalog (cutting tools and fasteners) with realistic attribute messiness, standards-derived dimensions, and a generated technical drawing for every product line.

  2. A Python tool that runs Claude Code in an autonomous, multi-check review loop with four levels of review thoroughness, cross-check coherence validation, and convergence detection.

  3. Turn Open Icecat XML data sheets into clean, image-rich NDJSON for electronics e-commerce search demos and relevance work.

  4. Turn the Open Food Facts export into clean, image-rich NDJSON with a real category hierarchy, for e-commerce search demos and relevance work.

  5. Turn messy open-source product data into clean, image-rich NDJSON for e-commerce demos and relevance work.

  6. Moved to Elastic’s blog - https://www.elastic.co/search-labs/blog/function-score-query-boosting-profit-popularity-elasticsearch

  7. Introduction Whether you’re looking for a product in an online store, an article in a news archive, or a file in a company knowledge base, the quality of the search experience determines how quickly you find what you need.

  8. This article has now been published on Elastic’s website.

  9. Introduction Kibana is an open-source data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases.

  10. Barcelona: A Personal Guide

    Motivation Originally from Canada, I have lived in Barcelona on and off since 2003.

  11. Introduction Elasticsearch Time Series Data Streams (TSDS) are designed to provide an efficient and scalable way to handle time-based data within the Elasticsearch ecosystem.

  12. Introduction In a recent article that I wrote for Airbyte it was necessary for me to copy and paste a table from Google Sheets into Webflow.

  13. Introduction Logstash is commonly used for transforming data before it is sent to another system for storage, and so it is often well positioned for finding and replacing sensitive text, as may be required for GDPR compliance.

  14. Authors Ronald R.

  15. This is now published on Elastic’s official blog.

  16. Introduction When driving data into Elasticsearch from Filebeat, the default behaviour is for all data to be sent into the same destination index regardless of the source of the data.

  17. Introduction In several previous blog posts I have shown how a Painless script can be used to process new documents as they are ingested into an Elasticsearch cluster.

  18. Authors Alexander Marquardt Honza Kral Introduction Painless is a simple, secure scripting language designed specifically for use with Elasticsearch.

  19. Introduction When using Elasticsearch, in some rare instances you may see an error such as “Too many dynamic script compilations within X minutes”.

  20. Introduction Elasticsearch allows you to unify your observability data in a powerful datastore so you can search and apply interactive analytics in real time to a huge number of use cases.

  21. This article is available on Elastic’s blog as a 3-part series.

  22. This article is available on Elastic’s blog at: https://www.elastic.co/blog/calculating-ingest-lag-and-storing-ingest-time-in-elasticsearch-to-improve-observability

  23. Page moved to https://alexmarquardt.com/using-boolean-queries-to-improve-search-relevancy-in-elasticsearch/

  24. This article is available at: https://www.elastic.co/blog/how-to-improve-elasticsearch-search-relevance-with-boolean-queries

  25. Authors Tom Schreiber Alex Marquardt Version This blog article is based on ECE 2.4.3.

  26. Introduction In this blog, we use Elastic machine learning (ML) and derivative aggregations to detect sudden unexpected increases or decreases in the rate-of-change of CPU load on servers that are monitored by Metricbeat.

  27. This article is available at: https://www.elastic.co/blog/how-to-enrich-logs-and-metrics-using-an-elasticsearch-ingest-node

  28. Converting CSV to JSON in Filebeat

    Introduction Many organisations use excel files for creating and storing important data.

  29. Introduction Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to one or more outputs.

  30. This article is available at: https://www.elastic.co/blog/how-to-create-maintainable-and-reusable-logstash-pipelines

  31. Introduction Logstash is a tool that can be used to collect, process, and forward events to Elasticsearch.

  32. Introduction Elasticsearch supports atomic create, update, and delete operations at the individual document level, but does not have built-in support for multi-document transactions.

  33. This article is available at: https://www.elastic.co/blog/converting-local-time-to-iso-8601-time-in-elasticsearch

  34. Introduction Elasticsearch provides search functionality for some of the most important websites in the world including Wikimedia (i.e.

  35. Moved to: https://alexmarquardt.com/es-local-indexer-desktop-search-built-with-elasticsearch/

  36. How to mitigate hangovers

    Introduction Many natural products exist that are purported to be able to prevent hangovers, but unfortunately when one talks about natural hangover remedies it is difficult to find many well funded scientific studies that validate or refute such claims.

  37. Disclaimer I am not an accountant and this article should not be considered as financial or tax advice.

  38. Introduction When using Beats with Elasticsearch, it may be useful to keep track of how many unique agents are sending data into an Elasticsearch cluster, and how many documents each agent is submitting.

  39. This article is available at: https://www.elastic.co/blog/using-parallel-logstash-pipelines-to-improve-persistent-queue-performance

  40. This article can be found at: https://www.elastic.co/blog/how-to-debug-elasticsearch-source-code-in-intellij-idea

  41. This article is available at: https://www.elastic.co/blog/elasticsearch-security-configure-tls-ssl-pki-authentication

  42. Introduction By default, Elasticsearch is tuned for the best trade-off between write performance and query performance for the majority of use cases.

  43. This article is available at: https://www.elastic.co/blog/using-logstash-to-split-data-and-send-it-to-multiple-outputs

  44. Overview Logstash’s prune filter plugin can make use of whitelists to ensure that only specific desired fields are output from Logstash, and that all other fields are dropped.

  45. This article is available at: https://www.elastic.co/blog/how-to-find-and-remove-duplicate-documents-in-elasticsearch

  46. Introduction When using MongoDB there are several approaches that make it easy to store and retrieve binary data, but it is not always clear which approach is the most appropriate for a given application.

  47. Now on MongoDB’s website This blog article has been published by MongoDB at https://www.mongodb.com/blog/post/generating-globally-unique-identifiers-for-use-with-mongodb Motivation By default, MongoDB generates a unique ObjectID identifier that is assigned

  48. Introduction While MongoDB provides high-availability and data durability through automatic replication of data to multiple servers, this replication does not protect the database against human or application errors.