Belajar Elasticsearch

Belajar Elasticsearch (distributed search & analytics engine) dari dasar hingga advanced: setup environment, sejarah, arsitektur, instalasi, index management & CRUD, mapping & data types, query DSL, text analysis & analyzers, compound & boolean queries, aggregations, ILM & data streams, ingest pipelines, reindex, cluster configuration, security & authentication, encryption, scaling, performance tuning, snapshot & restore, monitoring, cross-cluster search, machine learning, integrasi Kibana Logstash Beats, Docker & Kubernetes, CI/CD, hingga production deployment & best practices dengan total 31 episode.

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Belajar Elasticsearch - Pre-Requisites Skill & Setup Environment

Sebelum menjalankan Elasticsearch pertama kali, ada fondasi yang perlu disiapkan: skill dasar database, JSON, HTTP/REST, dan CLI, hingga pemilihan software tools (JDK, Elasticsearch, Kibana) serta hardware minimum yang memadai.

August 3, 2026

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Belajar Elasticsearch - Sejarah, Latar Belakang & Mengapa Membutuhkan Elasticsearch

Dari grep dan SQL LIKE menuju full-text search engine: sejarah Apache Lucene, perjalanan Elasticsearch dari 2010 hingga Elastic Stack, masalah yang diselesaikannya, serta perbandingan dengan RDBMS, Apache Solr, dan Algolia.

August 3, 2026

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Belajar Elasticsearch - Konsep Dasar & Arsitektur Utama

Membongkar arsitektur Elasticsearch: dokumen JSON, index, inverted index, sharding dan replication, peran master/data/ingest/coordinating node, proses indexing dan search lifecycle, scoring relevansi, serta trade-off CAP theorem dan eventual consistency.

August 3, 2026

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Belajar Elasticsearch - Installation & First Steps dengan Elasticsearch

Memasang Elasticsearch 8.x lewat package manager, archive, Docker, atau Elastic Cloud; menyalakan dan mematikan service, mengakses REST API, memeriksa cluster health, memahami respons JSON, dan berkenalan dengan Dev Tools di Kibana.

August 3, 2026

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Belajar Elasticsearch - Index Management & Document Operations (CRUD)

Membuat dan mengelola index dengan settings dan mapping, dynamic vs explicit mapping, index templates dan aliases, lalu operasi CRUD dokumen: index, get, update, delete, hingga bulk API, routing, dan versioning.

August 3, 2026

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Belajar Elasticsearch - Mapping & Data Types

Memahami mapping: dynamic vs explicit, parameter mapping seperti analyzer dan index; tipe data inti (text vs keyword, numerik, date, boolean, range); serta tipe kompleks (object, nested, geo, IP, join) dengan risiko mapping explosion.

August 3, 2026

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Belajar Elasticsearch - Search Fundamentals - Query DSL Basics

Fondasi Query DSL: URI search vs request body, perbedaan query context dan filter context, filter _source, pagination dari/size dan search_after, serta query dasar: match, term, match_phrase, multi_match, query_string, exists, dan range.

August 3, 2026

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Belajar Elasticsearch - Text Analysis & Analyzers

Lapisan di bawah query: karakter filter, tokenizer, dan token filter; analyzer bawaan, custom analyzer, tes dengan _analyze API, normalizers, n-gram, serta use case autocomplete, case-insensitive search, stemming, dan sinonim.

August 3, 2026

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Belajar Elasticsearch - Advanced Search - Compound & Boolean Queries

Menyusun pencarian kompleks: bool query dengan must, should, must_not, dan filter; boosting query, constant_score, dis_max; filter caching serta strategi memakai filter vs query untuk performa optimal.

August 3, 2026

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Belajar Elasticsearch - Aggregations - Analytics & Data Summarization

Mengubah data menjadi insight: metrics aggregations (sum, avg, stats, cardinality, percentiles), bucket aggregations (terms, histogram, date_histogram, range, nested), dan pipeline aggregations (moving average, derivative, cumulative sum) dengan bucket sorting.

August 3, 2026

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