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1220 - Pilot Flying J 如何利用 DBmaestro 革新数据库管理.pdf

上传人: 竿*** 编号:982706 2025-11-29 34页 1.57MB

1、John Ekka-Manager,DevOps Automation,Pilot Flying JYaniv Yehuda-Founder&CPO,DBmaestro Gil Nizri-CEO,DBmaestroSession 1220How Pilot Flying J Transformed Database Management with DBmaestroWhat if database releases rans at app speed?AgendaWho We AreOur Database ChallengesWhy DBmaestroOutcomes AchievedLe

2、ssons Learned&Next StepsAI-Driven Database DevSecOpsWho We Are01Largest operator of travel centers in North America02Mission-critical IT for logistics,fuel pricing,payments,loyalty03Databases at the heart of real-time operations042024 annual revenue:$46.9B05Number of employees:30,000Compliance&trust

3、 require consistency at speedLoyalty&customer engagement tied to databases Logistics&fleet operations depend on uptimeFuel pricing&payments run on live dataWhy Databases are Mission CriticalBefore DBmaestro The PainManual DB releases=errors&delaysCompliance risk without governanceDBAs bottlenecked d

4、eliveryDrivers for Change01Empower teams with safe,self-service deployments03Ensure compliance and governance(SOX)02Improve agility and delivery speed04Reduce manual errors and toilOOTB Enterprise-grade scale,resilience,complianceDatabase shield security and control on every changeSeamless integrati

5、on fits existing DevOps pipelinesStandardized policies rules and governance built inFuture-proof,zero maintenance deploy nowWhy DBmaestroImplementation JourneyAgile start began with critical schemas,expanded team by teamShared library in CloudBees scaled pipelines 5 fasterRapid onboarding new apps i

6、n hours,not daysClose engagement overcame adoption challenges Speed with safety faster releases,controlled and trusted Unified governance standardized policies across teams Built-in compliance SOX enforcement and duty segregation Full traceability every change linked to tickets and logs Audit-ready

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根据《》标记中的内容,全文主要内容概括如下: - **Pilot Flying J的数据库管理转型**:通过DBmaestro平台,Pilot Flying J实现了数据库管理的自动化,提高了效率和合规性。 - **DBmaestro的优势**:提供企业级数据库管理,包括安全控制、集成和标准化政策,以及未来证明的零维护。 - **实施过程**:从关键模式开始,逐步扩展到整个团队,并在云Bees上实现快速扩展。 - **成果**:减少了20%的坏代码预防、15%的中断时间减少,以及20%的生产加速。 - **关键性能指标**:包括坏代码预防、中断时间减少、生产加速、交付提升和开发团队生产力提升。 - **未来计划**:扩展到其他数据库,采用DORA指标进行可观察性,实施自动化代码审查和政策,探索AI辅助错误解决。 - **手动数据库发布的风险**:包括合规性违规、收入损失、生产力下降和客户流失。 - **DBmaestro的价值**:通过自动化和合规性,提高数据库管理的速度和安全性,减少停机时间,并加速产品上市。
加速数据库变革?" "如何实现数据库管理的合规与速度?" DevOps自动化新篇章?"
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