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hanxueyuan

Elastic Search

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install elastic-search
Description
提供基于Elastic Stack的开源全文搜索和企业级数据检索解决方案，支持日志分析、可观测性和安全场景。
README (SKILL.md)

Elastic Search

从日志搜索工具到'企业搜索层'——Elastic如何重新定义数据检索基础设施。

历史时间线

  • 2010年：Shay Banon发布Elasticsearch 0.0.1，源于个人项目Compass的失败教训
  • 2012年：成立Elastic NV公司，开始商业化
  • 2015年：发布Elastic Stack（原ELK Stack），统一品牌
  • 2018年10月：纽交所上市（ESTC），首日市值约56亿美元
  • 2019年：修改开源许可证（从Apache 2.0改为SSPL/ELv2），回应云厂商搭便车问题
  • 2021年：推出Elastic Cloud（托管服务），加速向SaaS转型
  • 2023年：整合AI能力（Elastic AI Assistant），将LLM接入可观测性和安全工作流

商业模式

开源核心（open-core）模式。免费版：Elasticsearch核心搜索引擎。商业版：Elastic Stack X-Pack（安全、告警、机器学习、APM）+ Elastic Cloud（托管SaaS）。三大应用场景：可观测性（日志/指标/链路追踪，对标Splunk）、企业搜索（站点搜索/文档搜索）、安全（SIEM/终端安全）。订阅制收入占比超70%。

护城河分析

全文搜索领域的事实标准——几乎所有现代应用搜索都基于或兼容Elasticsearch；开源社区的开发者惯性——从学习阶段到生产部署的自然升级路径；开源许可证变更（SSPL）有效阻止了云厂商的免费搭车；在可观测性市场的早期布局形成客户锁定。

关键数据

2024财年营收约12亿美元，同比增长约18%；客户超18,000家（含75%的财富100强）；全球贡献者社区超3,000人；GitHub上Elasticsearch超67,000 stars；日均搜索查询量超万亿次。

有趣事实

  • Shay Banon创建Elasticsearch的初衷是因为他妻子在做厨师求职网站时，他需要一个更好的搜索工具——结果这个'家庭项目'变成了百亿美元公司
  • Netflix每天产生超1PB的日志数据，其中90%通过Elasticsearch处理——这是全球最大的Elasticsearch部署之一
Usage Guidance
This skill is a read-only article about Elastic/ELK and appears internally consistent. Before installing, consider: (1) provenance — the skill's source and homepage are unknown, so verify the author if you need trustworthy or up-to-date analysis; (2) scope — it provides information only (no connectors or actions). If you expected a utility that interacts with an Elasticsearch cluster (queries, management, or requiring credentials), this skill does not provide that and you should look for a different skill that explicitly requests the needed API keys or binaries. Also note licensing and product details (Elastic's license changes) should be cross-checked against official Elastic docs for accuracy.
Capability Analysis
Type: OpenClaw Skill Name: elastic-search Version: 1.0.0 The skill bundle contains purely informational content regarding Elasticsearch's history, business model, and market position. There is no executable code, network activity, or malicious instructions within SKILL.md or _meta.json.
Capability Assessment
✓ Purpose & Capability
Name/description promise an overview of Elastic Stack and the SKILL.md is an informational essay matching that purpose; the skill requests no binaries, env vars, or config paths, which is proportionate for a research/summary skill.
✓ Instruction Scope
SKILL.md contains only static content and 'read_when' research prompts; it does not instruct the agent to run commands, read system files, access environment variables, or transmit data to external endpoints.
✓ Install Mechanism
No install specification and no code files — the lowest-risk model (instruction-only). Nothing will be written to disk or executed by an installer.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate request for secrets or system access.
✓ Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent or elevated privileges or modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install elastic-search
  3. After installation, invoke the skill by name or use /elastic-search
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Elastic Search skill. - Overview of Elastic's evolution from a simple log search tool to an "enterprise search layer." - Includes historical timeline, business model details, and analysis of competitive advantages. - Summarizes key financial and adoption metrics as of 2024. - Highlights interesting facts, such as Elastic's origins and notable large-scale deployments like Netflix.
Metadata
Slug elastic-search
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Elastic Search?

提供基于Elastic Stack的开源全文搜索和企业级数据检索解决方案，支持日志分析、可观测性和安全场景。 It is an AI Agent Skill for Claude Code / OpenClaw, with 69 downloads so far.

How do I install Elastic Search?

Run "/install elastic-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Elastic Search free?

Yes, Elastic Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Elastic Search support?

Elastic Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Elastic Search?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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