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1914 - 数据库操作 (DbOps).pdf

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1、Orlando,FLOctober 69IBM TechXchange 20251914Database Ops(DbOps)Davorin KremenjaUniversity Computing Centre,University of ZagrebDevOps EngineerStatusBackgroundObjectivesImplementation&ToolsObservabilityEcosystemFuture plansConclusionQ&AAgendaTerminology/definition overloadDatabase DevOpsDatabase Ops(

2、DbOps)Data Ops(only for analytics?)Can it fit into GitOps?Is it just about automation?Main objectivesMust have:common tools and interfaces for all teamsApply DevOps principles and tools in day-to-day DB administrator/developer tasksDelegate(some of the)DBA workload to developers but.Relieve develope

3、rs of a need to know the Informix(and other RDBMS)internalsBonus featuresIntegrate databases into existing automated development pipelinesExpose data sources as first class building blocksStreamline release management100%open source toolingUsed and trusted by big namesReusing established company-wid

4、e toolsSimple to extendTechnology StatusCompany50+years,180 employeesnational IT infrastructure provider for science&higher educationpart of University of Zagreb,Croatia(350+years)Teams100 IT/tech employees,bespoke information systemsvery diverse teamsinfrastructure/virtualization teamLinux sysadmin

5、sbackup/archive adminsJava desktop(Swing)devsJava/.Net/PHP web devsR devs/analystsand a handful of DbOps/DevOps/SRE folksSystemsa number of existing,large,bespoke systems written in Java,.Net and PHPdesktop/standalone&web appsnew and existing reporting/analytics systemsInformix based data warehouses

6、(not IWA,“plain“IDS)R/Shiny standalone appsCompany Backgroundreuse existing DBA expertisereuse existing scriptsutils2_ak most generic functionality already therein-house built for remaining bespoke needsmainly shell via cronexpose through common,simple to use interfaceenforce security through standa

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- **项目背景**:Orlando, FL1914数据库操作(DbOps)项目,由Davorin Kremenjaš领导,在克罗地亚萨格勒布大学计算机中心进行。 - **目标**:实现数据库的自动化操作,提高效率,减少手动工作,并使开发人员能够参与数据库管理。 - **技术实施**:使用VMware虚拟化、Cobbler自动化安装、Puppet配置管理、Bolt数据库操作工具和Gitlab CI/CD。 - **工具和平台**:包括Informix数据库、Bolt、Puppet、Gitlab CI、Nagios、Zabbix等。 - **成果**:90%以上的数据库安装、配置和维护任务自动化,显著提高了工作效率。 - **未来计划**:进一步优化自动化流程,实现更紧密的反馈循环,并打破知识壁垒。
"DbOps自动化,效率翻倍?" "DevOps与数据库,无缝对接?" "数据库管理,未来已来?"
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