first commit
This commit is contained in:
闫旭隆
160
retriver/langsmith/json_output/output_20250910_170025.json
Normal file
160
retriver/langsmith/json_output/output_20250910_170025.json
Normal file
@ -0,0 +1,160 @@
|
||||
{
|
||||
"query": "混沌工程的定义是什么？DataOps是什么？",
|
||||
"pred_answer": "混沌工程是一种通过引入不确定性与故障来测试和改进系统的方法和理念。它旨在提高系统的韧性和可靠性，通过实验性地注入故障或其他扰动，让团队理解故障对业务的影响，并在设计、开发、测试和运维过程中考虑故障场景。混沌工程的目标是提升系统的抗压能力和快速响应能力，从而在面对未知事件时，系统能保持稳定运行。\n\nDataOps（数据运营）是一种新兴的数据管理方法，强调数据管理的自动化，旨在提高数据开发效率和产品质量，实现数据产品的高质量交付。DataOps通过整合数据开发、治理和运营流程，构建自动化数据流水线，促进数据工作者之间的协作，简化数据交付周期，提高数据生产力。DataOps还充分利用人工智能和大型语言模型技术优化数据策略，推动数据分析技术的发展，帮助企业更好地理解和利用数据资源。\n\n总结：\n- **混沌工程**：是一种通过引入故障和不确定性来测试和改进系统的实践方法，旨在提升系统的韧性和可靠性。\n- **DataOps**：一种数据管理方法，强调数据自动化，旨在提高数据开发效率，简化数据交付周期，促进数据生产力的释放。",
|
||||
"pred_supporting_facts": [
|
||||
[
|
||||
"混沌工程管理逐步组织化。除了传统的烟囱型组织(有的团队只 关",
|
||||
"642245580fe314e42f194a64fa2561ff3672b4838567a4ac666124e949586827"
|
||||
],
|
||||
[
|
||||
"混沌工程提供了同一个认知体系内的方法论，将架构、开发、测 试",
|
||||
"eaebc2c5bb1aed205038d18eeeee4dd33ab7318e1cbda9d54c2f8a9795e73d28"
|
||||
],
|
||||
[
|
||||
"要达到以上目标有三个关键点，其一是混沌工程活动内建到现有 流",
|
||||
"81c4166b930e81ff256cac64028f4b2c6b5e1b35f6902e6eb6a5f283796f0e1a"
|
||||
],
|
||||
[
|
||||
"DataOps作为一种新兴的数据管理 方法，强调数据管理自动",
|
||||
"114fe591e33e8bff142be610475d8035339e334932dc35fd2e89ff078d10fe52"
|
||||
],
|
||||
[
|
||||
"# DataOps 能力框架——实践保障\\n\\n## 202",
|
||||
"21cecc0bf37f351e693eaf71192ada4887caa03f90c22fe314b582966d6ccc79"
|
||||
],
|
||||
[
|
||||
"# DataOps 实践指南 2.0",
|
||||
"d585f5cf554e678d92a1982fe4a61608783a1f497183303fcc73f850b1f1458f"
|
||||
],
|
||||
[
|
||||
"| 差异性 | 混沌工程 | 传统测试 | 理念 | 对系统",
|
||||
"731fddc36b520d361923cb5c3ecfa7dffdc396ef5ce67e35b1c3598744056a52"
|
||||
],
|
||||
[
|
||||
"要将实验后果最小化并加以控制，会使用到根因分析算法（包含时间",
|
||||
"e0030c5183f95b1b207ff609e1c7f2a9c8486bf190eae5d9937f5324b9ed0584"
|
||||
],
|
||||
[
|
||||
"系统的复杂性使得生产环境处在无时不变的状态中，在理想情况下，",
|
||||
"2fb61474a2b30e27ade57319d62cd3cb1de9d4dc620e211680f072af4fd6c019"
|
||||
]
|
||||
],
|
||||
"pred_supporting_events": [
|
||||
[
|
||||
"混沌工程成为生产环节中不可或缺的一部分",
|
||||
"bbafacb2fbab1c313ce9fcd99ac571007f3f91ecee85b607bb31b6d20cd2968d"
|
||||
],
|
||||
[
|
||||
"整个研发运营体系",
|
||||
"2eea011f02cbb2c630a9ceb88eff5d196905d5900753e10c89a98513ea53cbf6"
|
||||
],
|
||||
[
|
||||
"将混沌工程活动内建到现有流程",
|
||||
"8a187f19d1b4d17e1ace47081dba5a272e954caea20040906f9ccabd8a3f671d"
|
||||
],
|
||||
[
|
||||
"运维团队利用混沌工程解决系统问题预测与应对",
|
||||
"25ba0eefeb995a74ce9bed17d84d561f6f0597458a4721f3bbf63f041e2516b4"
|
||||
],
|
||||
[
|
||||
"开发团队利用混沌工程从开发阶段考虑故障场景",
|
||||
"4d96d92b372fd515ce7bb6b1ded75477a18f10d8e4151f80b5c442ec7552665d"
|
||||
],
|
||||
[
|
||||
"首先完善系统的设计后再开展混沌工程的实现",
|
||||
"92d78aa097eb511ca0f15e515012d51fdd537f52d2682933bff6c53a139f4c8f"
|
||||
],
|
||||
[
|
||||
"将混沌工程活动内建到现有的组织流程制度中",
|
||||
"aaafdc4d591a4665152df8aec79acc8497ec8afe1c527dae16dad2f475cc53e3"
|
||||
],
|
||||
[
|
||||
"混沌工程实验自动化、智能化水平提升",
|
||||
"78f1d6beb0d1500ef08b9b5ef032839c2eb7bcb907b0e4ce57b5f666eaef527f"
|
||||
],
|
||||
[
|
||||
"长期来看，使用者更关注被测目标的风险本身。",
|
||||
"55741738de0a05d7245ec70ab61264c783aa181cb08ef7eba684959a293c9654"
|
||||
],
|
||||
[
|
||||
"提出混沌工程落地模型以提升行内稳定性保障技术和IT运营能力",
|
||||
"b49135d8c6481172812d533f3d6981f36b3b7d94123428328eb3592a60b7301c"
|
||||
],
|
||||
[
|
||||
"编写了一篇关于DataOps实践指南的文章",
|
||||
"c2db1984e1da816b055b75fa3cc6c40f8c2d7094fc237c3db4ea6b00f7faf4b7"
|
||||
],
|
||||
[
|
||||
"DataOps作为一种新兴的数据管理方法",
|
||||
"680b2a6330d156d3853a42fa00e510355f92a08a8a568b3adf5d556f8913fa8a"
|
||||
],
|
||||
[
|
||||
"企业数字化转型快速释放数据生产力的最佳方案",
|
||||
"d691625bd46a5a8840368fcc0f2456ee067bedde79a397596cf3cd225cacb0fc"
|
||||
],
|
||||
[
|
||||
"标准引领，建设 DataOps 体系",
|
||||
"adb5a19d4a48b43fa7b2e7f76331d30736f624cd5df909e3aad6683390c175f9"
|
||||
],
|
||||
[
|
||||
"实施数据治理策略",
|
||||
"0f4eb7cf5f30d4738a7385127c011103981bc088ec749f8af1ed0b6c15144c44"
|
||||
],
|
||||
[
|
||||
"提高开发效率和产品质量",
|
||||
"b08abe3367a833819cdadc8902d43927e0dc1b8a28c6729d5fa9913641ba27a5"
|
||||
],
|
||||
[
|
||||
"建立数据管道",
|
||||
"849a3d4c2d25164af0bce9c9cbdbfd592254d7fc9af293f4be1484277c81ac76"
|
||||
],
|
||||
[
|
||||
"集成DevOps实践",
|
||||
"fcc78de5daaa3405a2c6e340aee37d2a90e80892ad8326c4ab92aff1c0e6047b"
|
||||
],
|
||||
[
|
||||
"数据研发运营一体化（DataOps）是数据开发的新范式，将敏",
|
||||
"774a6133f9a25821d10ebab0d1745ac30d14a4016da4d3548b102f265e633a22"
|
||||
],
|
||||
[
|
||||
"DataOps成为企业数字化转型快速释放数据生产力的最佳方案",
|
||||
"0b602ca1699621754c4663ee33fbd14c65e56f98f892a180bf49d5c5d4bb45c3"
|
||||
],
|
||||
[
|
||||
"混沌工程更广泛地涵盖了通过引入各种不确定性和故障来测试和改进",
|
||||
"334a48d07c0914a27ecc426a089ed73fcb5f465f60c9c57db080158c5b5dc1e5"
|
||||
],
|
||||
[
|
||||
"混沌工程提供了一个统一的方法论，推动架构、开发、测试、运维团",
|
||||
"c282aaa040bb69133b28d31287e98db2d4771330e308ca9766e6ad38ddacbf3c"
|
||||
],
|
||||
[
|
||||
"以混沌工程平台为基础，在组织内部借助混沌工程串联稳定性保障技",
|
||||
"7fdb70cf1a3abc43b3e348ee043c0155e43d6df1993c93e8243124f9c8e424a0"
|
||||
],
|
||||
[
|
||||
"在生产环境中运行混沌工程实验",
|
||||
"eb64e97828b4b85d1fe216efccd636e1b621a1c6e2955eef6aad6516e33c639b"
|
||||
],
|
||||
[
|
||||
"混沌工程针对系统未知信息进行探索",
|
||||
"7bfbe657437c9eaaef47e2f0d1f35cb3efb4ef186c7692826a40ed2fac8f4062"
|
||||
],
|
||||
[
|
||||
"通过混沌工程让工程师更多认识故障及其对业务的影响。",
|
||||
"3e3c398d512804ee046260a9079f11c8eb5b5114d2f80f8628559eaed8b5034f"
|
||||
],
|
||||
[
|
||||
"混沌工程以进行实验的方式来对系统注入故障或其他的扰动",
|
||||
"8a14d83ce8b04835fa8d1218cfaf88891b9efdc531c67eb1dcec60b730a30702"
|
||||
]
|
||||
],
|
||||
"pred_evidences_path": [],
|
||||
"extraction_timestamp": "20250910_170025",
|
||||
"langsmith_project": "20250910_170025-混沌工程的定义是什么？DataOps是什么？",
|
||||
"total_passages": 9,
|
||||
"total_events": 27,
|
||||
"total_content": 36,
|
||||
"total_triplets": 0,
|
||||
"answer_length": 463
|
||||
}
|
||||
Reference in New Issue
Block a user