当前位置:首页 > 报告详情

推动现代应用领域的卓越运营.pdf

上传人: 明**** 编号:1012927 2025-12-21 61页 1.41MB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.C O P 3 2 7Drive operational excellence for modern applicationsAnia DevelterSr Specialist Solutions Architect(she/her)Helen AshtonSr Solutions Architect(she/her)2025

2、,Amazon Web Services,Inc.or its affiliates.All rights reserved.Once upon a MonolithMust-haves for operational excellenceStrengthening observability with distributed tracingDemoSpecialized tools for specialized observationsSummaryAgenda 2025,Amazon Web Services,Inc.or its affiliates.All rights reserv

3、ed.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Once upon a monolith 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Once upon a time.there was a monolith(ic)application 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Do we miss anything ab

4、out monoliths?2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Do we miss anything about monoliths?Team Helen NOPE!2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Do we miss anything about monoliths?Team Helen NOPE!Team Ania Yes and No 2025,Amazon Web Services,In

5、c.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Observability must-haves for operational excellence 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Business metrics firstBe obsessed with the(right)metrics 2025,Amazon Web S

6、ervices,Inc.or its affiliates.All rights reserved.Business metrics first Ask whyBe obsessed with the(right)metrics 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Business metrics first Ask why StandardizeBe obsessed with the(right)metrics 2025,Amazon Web Services,Inc.or its affil

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据报告的内容,全文主要内容概括如下: 1. **单体应用回顾**:文章首先回顾了单体应用的优势和不足,强调团队对单体应用的正面评价。 2. **可观测性关键要素**:提出业务指标、标准化、资源共享等是提升可观测性的关键。 3. **错误纠正(COE)**:强调COE在提升效率中的重要性,包括缩短检测和解决时间。 4. **分布式追踪**:介绍应用地图、OpenTelemetry、自动仪器化、上下文关联和采样等分布式追踪技术。 5. **专用工具**:强调使用专用工具进行深入观察,如Amazon CloudWatch工具和集成。 6. **AI应用**:提及AI在观察和数据分析中的应用。 7. **总结**:总结为可观测性要素、分布式追踪和专用工具的重要性。 8. **行动号召**:提供互动演示、应用信号演示、可观测性研讨会、云操作展示等资源。
"如何提升应用可观测性?" "分布式追踪如何加强监控?" "云监控工具大揭秘!"
客服
商务合作
小程序
服务号
折叠