{"id":41523933,"url":"https://github.com/aagea/elk-bootcamp-esp","last_synced_at":"2026-01-23T21:20:34.442Z","repository":{"id":44966399,"uuid":"154993476","full_name":"aagea/elk-bootcamp-esp","owner":"aagea","description":"Curso del stack ELK en Español","archived":false,"fork":false,"pushed_at":"2022-01-22T14:37:29.000Z","size":4323,"stargazers_count":2,"open_issues_count":0,"forks_count":4,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-08-18T23:50:53.568Z","etag":null,"topics":["bootcamp","elasticstack","lessons","spanish"],"latest_commit_sha":null,"homepage":null,"language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aagea.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-10-27T17:55:33.000Z","updated_at":"2023-08-18T23:50:53.569Z","dependencies_parsed_at":"2022-09-03T02:53:19.590Z","dependency_job_id":null,"html_url":"https://github.com/aagea/elk-bootcamp-esp","commit_stats":null,"previous_names":[],"tags_count":0,"template":null,"template_full_name":null,"purl":"pkg:github/aagea/elk-bootcamp-esp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aagea%2Felk-bootcamp-esp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aagea%2Felk-bootcamp-esp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aagea%2Felk-bootcamp-esp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aagea%2Felk-bootcamp-esp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aagea","download_url":"https://codeload.github.com/aagea/elk-bootcamp-esp/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aagea%2Felk-bootcamp-esp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28700521,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-23T17:25:48.045Z","status":"ssl_error","status_checked_at":"2026-01-23T17:25:47.153Z","response_time":59,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bootcamp","elasticstack","lessons","spanish"],"created_at":"2026-01-23T21:20:33.761Z","updated_at":"2026-01-23T21:20:34.438Z","avatar_url":"https://github.com/aagea.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Boot Camp del stack ELK en Español\nEste repositorio contiene todo el material practico que se utiliza en el Boot Camp sobre el stack de ELK en Español.\n\n## Práctica 1: el entorno de trabajo\n\nEn este directorio se encuentra una pequeña practica en donde se explica cómo se utiliza el entorno que vamos a utilizar durante todos los ejercicios.\n\n## Práctica 2: operaciones básicas de ElasticSearch\n\nEn esta práctica se repasarán operaciones básicas que se podrán hacer con ElasticSearch. De esta forma empezaremos a familiarizarnos con la herramienta.\n\n## Práctica 3: buscando información en ElasticSearch\n\nEn esta práctica creamos un proyecto en Java para acceder a la API de ElasticSearch.\n\n## Práctica 4: usando Term-level queries\n\nEn esta práctica, vamos a probar a crear term-level queries o filtros para manejar documentos en ElasticSearch.\n\n## Práctica 4a: usando Match queries \n\nEn esta practica vamos a probar a utilizar la match queries y cómo se puede combinar.\n\n## Práctica 5: indexando y agregando\n\nEn esta practica vamos a crear nuestro mapping type y vamos a utilizar algunas funciones de agregación.\n\n## Práctica 6: probando Auditbeat\n\nEn esta práctica utilizamos Audibeat para monitorizar el estado de un directorio. \n\n## Práctica 7: probando Filebeat\n\nEn esta práctica utilizamos Filebeat para indexar los logs generado por docker.\n\n## Práctica 8: probando Hearbeat\n\nEn esta práctica utilizamos Heartbeat para monitorizar el estado del servicio ElasticSearch.\n\n## Práctica 9: probando Metricsbeat\n\nEn esta práctica utilizamos Metricbeat para monitorizar las metricas de sistema de docker.\n\n## Práctica 10: probando LogStash\n\nEn esta práctica utilizaremo un fichero de logs de ejemplo para demostrar las capacidades de LogStash para transformar las trazas de log.\n\n## Práctica 11: probando Kibana\n\nEn esta práctica combinaremos todas las metricas para extraer la información de nuestros docker y trabajaremos con Kibana para crear un dashboard donde visualizar toda la información.\n\n\n## Practica Final: montando un stack completo.\n\nUna practica abierta que supone un reto al tener que combinar muchas fuentes de datos. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faagea%2Felk-bootcamp-esp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faagea%2Felk-bootcamp-esp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faagea%2Felk-bootcamp-esp/lists"}