{"id":49229,"date":"2025-05-04T05:56:15","date_gmt":"2025-05-04T05:56:15","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=49229"},"modified":"2026-02-21T07:28:17","modified_gmt":"2026-02-21T07:28:17","slug":"about-elastic-the-company","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/about-elastic-the-company\/","title":{"rendered":"About Elastic (The Company)"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Certainly! Here’s a detailed overview of Elastic N.V.<\/strong> (commonly known as Elastic<\/strong>, the company behind Elasticsearch), covering its transformation, history, key milestones, product evolution<\/strong>, and major release timelines<\/strong>.<\/p>\n\n\n\n

\n\n\n\n

\ud83c\udfe2 About Elastic (The Company)<\/strong><\/h2>\n\n\n\n

Elastic N.V.<\/strong> was founded in 2012<\/strong> and is best known as the creator of Elasticsearch<\/strong>, the powerful open-source search and analytics engine. Over time, Elastic evolved into a full-stack observability, security, and search solution provider.<\/p>\n\n\n\n

\n\n\n\n

\ud83d\udcdc Brief History & Timeline of Elastic’s Evolution<\/strong><\/h2>\n\n\n\n
Year<\/strong><\/th>Milestone<\/strong><\/th><\/tr><\/thead>
2010<\/strong><\/td>Shay Banon releases Elasticsearch v0.4<\/strong>, inspired by the need for a distributed search engine<\/td><\/tr>
2012<\/strong><\/td>Elastic (company)<\/strong> founded by Shay Banon and team<\/td><\/tr>
2013<\/strong><\/td>First commercial offering; raised $10 million<\/strong> Series A<\/td><\/tr>
2014<\/strong><\/td>Acquired Found.no<\/strong> (hosted Elasticsearch service); launched Elastic Cloud<\/strong><\/td><\/tr>
2015<\/strong><\/td>Rebranded company as just Elastic<\/strong>; introduced the ELK Stack<\/strong> (Elasticsearch, Logstash, Kibana)<\/td><\/tr>
2016<\/strong><\/td>Raised Series D funding; launched Beats<\/strong> (lightweight data shippers)<\/td><\/tr>
2017<\/strong><\/td>Released X-Pack<\/strong> (commercial plugins for security, monitoring, alerting)<\/td><\/tr>
2018<\/strong><\/td>Elastic went public (IPO on NYSE: ESTC<\/strong>) at a $2.5 billion valuation<\/td><\/tr>
2019<\/strong><\/td>Introduced Elastic SIEM<\/strong> (Security Information and Event Management)<\/td><\/tr>
2020<\/strong><\/td>Launched Elastic Agent<\/strong>, Fleet<\/strong>, and Ingest Manager<\/strong>; Elastic Stack 7.x matured<\/td><\/tr>
2021<\/strong><\/td>License change from Apache 2.0 to SSPL<\/strong> for Elasticsearch and Kibana<\/td><\/tr>
2022<\/strong><\/td>Released Elastic Stack 8.x<\/strong>, with native data streams<\/strong>, runtime fields<\/strong>, and zero-downtime upgrades<\/strong><\/td><\/tr>
2023<\/strong><\/td>Launched Elastic AI Assistant<\/strong> and enhanced Elastic Security for cloud<\/strong><\/td><\/tr>
2024<\/strong><\/td>Continued investment in generative AI<\/strong>, vector search<\/strong>, and observability integrations<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\n\n\n\n

\ud83d\udce6 Product Stack Evolution<\/strong><\/h2>\n\n\n\n
    \n
  • Elasticsearch<\/strong> \u2013 Search and analytics engine<\/li>\n\n\n\n
  • Logstash<\/strong> \u2013 Data ingestion pipeline<\/li>\n\n\n\n
  • Kibana<\/strong> \u2013 Data visualization & dashboard UI<\/li>\n\n\n\n
  • Beats<\/strong> \u2013 Lightweight data shippers (Filebeat, Metricbeat, etc.)<\/li>\n\n\n\n
  • Elastic Agent<\/strong> \u2013 Unified agent for observability and security<\/li>\n\n\n\n
  • Elastic Cloud<\/strong> \u2013 Hosted service on AWS, Azure, and GCP<\/li>\n\n\n\n
  • Elastic Security<\/strong> \u2013 Threat detection, endpoint protection, SIEM<\/li>\n\n\n\n
  • Elastic Observability<\/strong> \u2013 Logs, metrics, APM, synthetics, and uptime monitoring<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    \ud83e\udded Release Timeline (Major Versions)<\/strong><\/h2>\n\n\n\n
    Version<\/strong><\/th>Release Date<\/strong><\/th>Highlights<\/strong><\/th><\/tr><\/thead>
    v1.0<\/td>Feb 2014<\/td>First stable Elasticsearch release<\/td><\/tr>
    v2.0<\/td>Oct 2015<\/td>Lucene 5 upgrade, pipeline aggregations<\/td><\/tr>
    v5.0<\/td>Oct 2016<\/td>Unified versioning across ELK stack<\/td><\/tr>
    v6.0<\/td>Nov 2017<\/td>Index sorting, faster queries, rolling upgrades<\/td><\/tr>
    v7.0<\/td>Apr 2019<\/td>New cluster coordination, full-text search improvements<\/td><\/tr>
    v7.10<\/td>Nov 2020<\/td>Last Apache-2.0 version before license switch<\/td><\/tr>
    v7.11+<\/td>2021<\/td>SSPL licensed; frozen tier, searchable snapshots<\/td><\/tr>
    v8.0<\/td>Feb 2022<\/td>Native support for data streams, runtime fields, schema on read<\/td><\/tr>
    v8.x<\/td>2022\u20132024<\/td>Enhanced vector search, ML support, Kibana Lens, Elastic AI Assistant<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
    \n\n\n\n

    \ud83d\udd04 Transformation Journey<\/strong><\/h2>\n\n\n\n
    Phase<\/strong><\/th>Focus<\/strong><\/th><\/tr><\/thead>
    2010\u20132014<\/strong><\/td>Open-source search engine<\/td><\/tr>
    2015\u20132018<\/strong><\/td>Enterprise-grade observability and commercial expansion<\/td><\/tr>
    2019\u20132021<\/strong><\/td>Security, cloud-native, and SIEM use cases<\/td><\/tr>
    2022\u20132024<\/strong><\/td>AI\/ML, vector search, generative AI assistant, Cloud-native observability<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
    \n\n\n\n

    \ud83e\udde0 Strategic Shifts & Industry Relevance<\/strong><\/h2>\n\n\n\n
      \n
    • From search<\/strong> to a platform company<\/strong> offering search, observability, and security<\/li>\n\n\n\n
    • Strong competition with Splunk, Datadog, and OpenSearch<\/li>\n\n\n\n
    • Increasing focus on cloud offerings<\/strong> and AI integrations<\/strong><\/li>\n\n\n\n
    • Supports both self-managed<\/strong> and SaaS models<\/strong><\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      Elastic\u2019s product suite consists of several components\u2014each with different purposes, yet sharing a core architecture built primarily around Java<\/strong>, Lucene<\/strong>, and open-source technologies. Below is a breakdown of the technologies used to develop each major product of Elastic<\/strong>:<\/p>\n\n\n\n

      \n\n\n\n

      \ud83d\udd0d 1. Elasticsearch<\/strong><\/h3>\n\n\n\n
        \n
      • Core Language<\/strong>: Java<\/li>\n\n\n\n
      • Search Engine Library<\/strong>: Apache Lucene<\/li>\n\n\n\n
      • REST APIs<\/strong>: Built using Java-based HTTP server (Netty)<\/li>\n\n\n\n
      • Cluster Coordination<\/strong>: Zen Discovery (Java-based)<\/li>\n\n\n\n
      • Transport Layer<\/strong>: Netty<\/li>\n\n\n\n
      • Plugins\/Extensions<\/strong>: Java<\/li>\n\n\n\n
      • New Additions<\/strong>: Vector Search (dense vectors), Runtime Fields (Java\/Script-based)<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n

        \ud83d\udcc8 2. Kibana<\/strong><\/h3>\n\n\n\n
          \n
        • Core Language<\/strong>: JavaScript, TypeScript<\/li>\n\n\n\n
        • Frameworks<\/strong>: React.js for UI, Node.js for server<\/li>\n\n\n\n
        • Build System<\/strong>: Webpack, Babel<\/li>\n\n\n\n
        • Visualization Libraries<\/strong>: D3.js, Elastic Charts<\/li>\n\n\n\n
        • Security & Auth<\/strong>: Integrates with Elasticsearch’s APIs<\/li>\n<\/ul>\n\n\n\n
          \n\n\n\n

          \ud83d\udee0\ufe0f 3. Logstash<\/strong><\/h3>\n\n\n\n
            \n
          • Core Language<\/strong>: JRuby (Ruby running on the JVM)<\/li>\n\n\n\n
          • Pipeline Configuration<\/strong>: Ruby DSL<\/li>\n\n\n\n
          • Plugins<\/strong>: Written in Ruby or Java<\/li>\n\n\n\n
          • Data Transport<\/strong>: Uses Beats, Kafka, TCP, HTTP<\/li>\n\n\n\n
          • Threading Model<\/strong>: Java-based concurrency with plugin execution<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            \ud83d\udce6 4. Beats (Filebeat, Metricbeat, etc.)<\/strong><\/h3>\n\n\n\n
              \n
            • Core Language<\/strong>: Go (Golang)<\/li>\n\n\n\n
            • Lightweight Agents<\/strong>: Designed to run with minimal resource usage<\/li>\n\n\n\n
            • Modules<\/strong>: YAML\/Go config files, JSON output<\/li>\n\n\n\n
            • Communication<\/strong>: Sends data to Logstash or Elasticsearch via HTTP or Beats protocol<\/li>\n<\/ul>\n\n\n\n
              \n\n\n\n

              \ud83e\udde0 5. Elastic Machine Learning (X-Pack ML)<\/strong><\/h3>\n\n\n\n
                \n
              • Core Language<\/strong>: C++ (native ML jobs)<\/li>\n\n\n\n
              • Integrated with<\/strong>: Elasticsearch (via APIs and Java)<\/li>\n\n\n\n
              • Data Analysis<\/strong>: Time series analysis, anomaly detection<\/li>\n\n\n\n
              • Inference Support<\/strong>: Trained models (e.g., via PyTorch\/TensorFlow) can be imported<\/li>\n<\/ul>\n\n\n\n
                \n\n\n\n

                \ud83d\udd75\ufe0f\u200d\u2642\ufe0f 6. Elastic Security (SIEM & Endpoint)<\/strong><\/h3>\n\n\n\n
                  \n
                • Core Components<\/strong>: Built on top of Kibana and Elasticsearch<\/li>\n\n\n\n
                • UI<\/strong>: TypeScript (Kibana)<\/li>\n\n\n\n
                • Detection Engine<\/strong>: Rule-based logic and ML integration (Elasticsearch backend)<\/li>\n\n\n\n
                • Elastic Endpoint<\/strong>: Agent written in Go and C++<\/li>\n<\/ul>\n\n\n\n
                  \n\n\n\n

                  \ud83d\udce1 7. Elastic Agent & Fleet<\/strong><\/h3>\n\n\n\n
                    \n
                  • Core Language<\/strong>: Go (Golang)<\/li>\n\n\n\n
                  • Package Manager<\/strong>: Elastic Package Registry (YAML and JSON schema)<\/li>\n\n\n\n
                  • Communication<\/strong>: Secure HTTP, Beats protocol<\/li>\n\n\n\n
                  • Managed through<\/strong>: Kibana’s Fleet UI (JavaScript\/TypeScript)<\/li>\n<\/ul>\n\n\n\n
                    \n\n\n\n

                    \u2601\ufe0f 8. Elastic Cloud<\/strong><\/h3>\n\n\n\n
                      \n
                    • Core Platform<\/strong>: Java and Kubernetes (for orchestration)<\/li>\n\n\n\n
                    • Infrastructure<\/strong>: Built on top of AWS, Azure, GCP<\/li>\n\n\n\n
                    • Automation<\/strong>: Terraform modules, internal APIs<\/li>\n\n\n\n
                    • UI<\/strong>: React (Elastic Cloud Console)<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      \ud83d\udcca 9. Elastic Observability (APM, Logs, Metrics)<\/strong><\/h3>\n\n\n\n
                        \n
                      • Backend<\/strong>: Elasticsearch<\/li>\n\n\n\n
                      • APM Agents<\/strong>: Written in multiple languages:\n
                          \n
                        • Java Agent \u2013 Java<\/li>\n\n\n\n
                        • Python Agent \u2013 Python<\/li>\n\n\n\n
                        • Node.js Agent \u2013 JavaScript<\/li>\n\n\n\n
                        • Go Agent \u2013 Go<\/li>\n\n\n\n
                        • .NET Agent \u2013 C#<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                        • UI<\/strong>: Kibana (TypeScript)<\/li>\n<\/ul>\n\n\n\n
                          \n\n\n\n

                          Summary Table<\/h2>\n\n\n\n
                          Product<\/th>Core Language(s)<\/th>Notable Tech Stack<\/th><\/tr><\/thead>
                          Elasticsearch<\/td>Java<\/td>Apache Lucene, Netty, REST APIs<\/td><\/tr>
                          Kibana<\/td>JavaScript\/TypeScript<\/td>React, Node.js, D3.js<\/td><\/tr>
                          Logstash<\/td>JRuby, Java<\/td>Ruby DSL, Plugin System<\/td><\/tr>
                          Beats<\/td>Go<\/td>YAML config, lightweight shipping<\/td><\/tr>
                          Elastic ML<\/td>C++, Java<\/td>Native ML engine, Anomaly Detection<\/td><\/tr>
                          Elastic Security<\/td>TypeScript, Go<\/td>Detection engine, Endpoint protection<\/td><\/tr>
                          Elastic Agent<\/td>Go<\/td>Fleet Manager, YAML config<\/td><\/tr>
                          Elastic Cloud<\/td>Java, React, K8s<\/td>Hosted Elastic Stack, Multi-cloud<\/td><\/tr>
                          Observability\/APM<\/td>Multiple (polyglot)<\/td>Language agents + Kibana UI<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                          \n\n\n\n

                          <\/p>\n","protected":false},"excerpt":{"rendered":"

                          Certainly! Here’s a detailed overview of Elastic N.V. (commonly known as Elastic, the company behind Elasticsearch), covering its transformation, history, key milestones, product evolution, and major release timelines. \ud83c\udfe2 About… <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[5936],"tags":[],"class_list":["post-49229","post","type-post","status-publish","format-standard","hentry","category-elastic"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=49229"}],"version-history":[{"count":3,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49229\/revisions"}],"predecessor-version":[{"id":58968,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/49229\/revisions\/58968"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=49229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=49229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=49229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}