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Elastic Datadog

v1.0.0

介绍Elastic从开源搜索库到综合可观测性平台的发展，涵盖Elasticsearch、ELK Stack及其商业模式。

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by@hanxueyuan

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Elastic Datadog" (hanxueyuan/elastic-datadog) from ClawHub.
Skill page: https://clawhub.ai/hanxueyuan/elastic-datadog
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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openclaw skills install elastic-datadog

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npx clawhub@latest install elastic-datadog
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Purpose & Capability
The skill's name and description match the SKILL.md content (a historical/technical summary of Elastic). It does not request unrelated capabilities, credentials, or binaries.
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Instruction Scope
SKILL.md contains only informational content and a small 'read_when' context list; it does not instruct the agent to read files, access environment variables, make network calls, or transmit data outside the user’s environment.
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No install spec or code files are present (instruction-only). Nothing is written to disk or downloaded by the skill itself.
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The skill declares no required environment variables, credentials, or config paths — appropriate for a purely informational skill.
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The skill uses default invocation settings (not always-included). It does not request persistent presence or elevated agent/system privileges.
Assessment
This skill is a static informational summary and appears safe to install from a technical-permissions perspective because it requests no credentials or installs. However, the source/homepage are unspecified — if you need authoritative or current metrics (revenue, user counts, dates), verify with official Elastic/finance/GitHub sources before relying on the numbers. If you require provenance or citations, prefer skills or content that link to official sources.

Like a lobster shell, security has layers — review code before you run it.

latestvk970191x8xfcpk0gkwgj053cgs85m9bq
31downloads
0stars
1versions
Updated 18h ago
v1.0.0
MIT-0
@hanxueyuan
latest
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Elastic (Elasticsearch)

概述

从开源搜索库到百亿美金可观测性平台 — Elastic 如何改变数据搜索和分析。

历史时间线

  • 2012: Shay Banon 创建 Elasticsearch（基于 Lucene 的分布式搜索引擎）
  • 2012: Elasticsearch 迅速成为最流行的开源搜索项目
  • 2012: 创立 Elastic 公司商业化 Elasticsearch
  • 2015: 发布 ELK Stack（Elasticsearch + Logstash + Kibana）
  • 2018年10月: 纽交所上市（股票代码 ESTC）
  • 2019: 推出 Elastic Security（SIEM）
  • 2021: 推出 Elastic Observability（APM + 日志 + 指标 + Uptime）
  • 2023: 推出 Elastic AI Assistant（LLM 集成）

商业模式

开源核心模式（Open Source Core）：免费开源版 + 付费商业版（Elastic Cloud 托管服务、安全功能、机器学习功能）。收入来自：Elastic Cloud 订阅、商业许可证、企业支持合同。

护城河分析

Elasticsearch 是业界最流行的搜索引擎（维基百科、GitHub、Uber 等都使用）；ELK Stack 是日志管理的行业标准；开源社区生态庞大；全栈可观测性平台。

关键数据

  • 上市: 纽交所 ESTC（2018）
  • 2023年营收: ~13 亿美元
  • GitHub Stars: Elasticsearch 67k+
  • 用户: 包括 Netflix, NASA, Uber 等

有趣事实

  • Elasticsearch 最初是创始人 Shay Banon 为了让妻子的菜谱更容易搜索而创建的——后来变成了价值百亿美元的搜索引擎
  • Elastic 公司 2019 年与 AWS 发生许可证争议，导致 AWS 创建了 OpenSearch 分叉项目

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