公司规模
Large Corporate
国家
- United Kingdom
- United States
产品
- Morpheus multi-cloud management platform
- ServiceNow
- SaltStack
技术栈
- VMware
- Oracle
- AWS
- Azure
- Google Cloud Platform
- Apache
- Tomcat
- JBoss
- Microsoft SQL
- Windows
- CentOS
- RHEL
- OEL
- Microsoft Active Directory
- InfoBlox
- Cisco ACI
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 混合云
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 私有云
- 基础设施即服务 (IaaS) - 公共云
适用行业
- 药品
适用功能
- 离散制造
- 产品研发
用例
- 预测性维护
- 边缘计算与边缘智能
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
阿斯利康是一家全球性、以科学为主导的生物制药企业,为全球数百万患者提供创新和改变生活的药物。该公司业务遍及 100 多个国家,随时有数百个项目在筹备中,专注于发现、开发和商业化主要用于肿瘤、心血管、肾脏和代谢以及呼吸治疗的处方药。阿斯利康拥有生物制药行业最强大的混合 IT 环境之一。该公司的企业 IT 部门可以说是业内最繁忙和最活跃的部门之一,负责管理 15 个全球地点的 16,000 多台虚拟和物理服务器以及 2,700 个应用程序,涵盖本地 VMware 基础架构和多个公共云提供商,包括 AWS、Microsoft Azure 和 Google Cloud Platform。
挑战
阿斯利康的全球基础设施服务 (GIS) 部门充当集中架构和工程团队,支持来自七个关键业务部门的大量 IaaS 和 PaaS 请求。与当今大多数行业一样,生物制药行业是一个时间就是敌人的领域。速度是竞争差异化的货币,因此 GIS 领导层一直面临着在更短时间内提供更多价值的压力。在分析流程后,该团队确定,由于系统和团队之间的手动交接和批准,开发人员对资源的请求平均需要 80 个工时才能完全交付到生产就绪状态。公司发展得太快了,不能再继续存在这种瓶颈。GIS 团队知道,除非他们引入额外的自动化和编排来简化流程,否则可能会阻碍未来向内部客户的交付时间。
解决方案
在意识到传统的 VMware 自动化方法无法解决问题后,阿斯利康决定寻找一种更具创新性和不可知性的方法。搜索使他们找到了传统参与者和新兴技术供应商,包括 Morpheus Data。在概念验证 (PoC) 阶段,结果立竿见影!在开始实施后不到 24 小时,GIS 团队就能够使用 Morpheus 多云管理平台将新实例一键配置到他们的 VMware ESX 集群。一旦选择 Morpheus 作为其云自动化支持技术,全球推广就会非常迅速地覆盖 8 个数据中心,管理数千个应用程序。部署速度的提高不仅使阿斯利康能够更有效地参与市场竞争,GIS 团队还显著降低了运营成本。最初,Morpheus 通过 ServiceNow 作为面向最终用户的界面自动协调每个 IaaS 和 PaaS 配置请求。这包括协调阿斯利康的合规性、网络、访问、质量和控制、运营和容量管理工具和平台。通过先进的混合云自动化实现的敏捷性提升,阿斯利康已经对其方法进行了现代化改造,并使用原生 Morpheus 界面和 API 来加快速度,同时仍确保 ServiceNow CMDB 和其他更新在后台进行。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.

Case Study
Case Study: Pfizer
Pfizer’s high-performance computing software and systems for worldwide research and development support large-scale data analysis, research projects, clinical analytics, and modeling. Pfizer’s computing services are used across the spectrum of research and development efforts, from the deep biological understanding of disease to the design of safe, efficacious therapeutic agents.

Case Study
Fusion Middleware Integration on Cloud for Pharma Major
Customer wanted a real-time, seamless, cloud based integration between the existing on premise and cloud based application using SOA technology on Oracle Fusion Middleware Platform, a Contingent Worker Solution to collect, track, manage and report information for on-boarding, maintenance and off-boarding of contingent workers using a streamlined and Integrated business process, and streamlining of integration to the back-end systems and multiple SaaS applications.

Case Study
Process Control System Support
In many automated production facilities, changes are made to SIMATIC PCS 7 projects on a daily basis, with individual processes often optimised by multiple workers due to shift changes. Documentation is key here, as this keeps workers informed about why a change was made. Furthermore, SIMATIC PCS 7 installations are generally used in locations where documentation is required for audits and certification. The ability to track changes between two software projects is not only an invaluable aid during shift changes, but also when searching for errors or optimising a PCS 7 installation. Every change made to the system is labour-intensive and time-consuming. Moreover, there is also the risk that errors may occur. If a change is saved in the project, then the old version is lost unless a backup copy was created in advance. If no backup was created, it will no longer be possible to return to the previous state if and when programming errors occur. Each backup denotes a version used by the SIMATIC PCS 7 system to operate an installation. To correctly interpret a version, information is required on WHO changed WHAT, WHERE, WHEN and WHY: - Who created the version/who is responsible for the version? - Who released the version? - What was changed in the version i.e. in which block or module of the SIMATIC PCS 7 installation were the changes made? - When was the version created? Is this the latest version or is there a more recent version? - Why were the changes made to the version? If they are part of a regular maintenance cycle, then is the aim to fix an error or to improve production processes? - Is this particular version also the version currently being used in production? The fact that SIMATIC PCS 7 projects use extremely large quantities of data complicates the situation even further, and it can take a long time to load and save information as a result. Without a sustainable strategy for operating a SIMATIC PCS 7 installation, searching for the right software version can become extremely time-consuming and the installation may run inefficiently as a result.

Case Study
ELI LILLY ADOPTS MICROMEDIA’S ALERT NOTIFICATION SYSTEM
Pharmaceutical production is subject to a strict set of enforced rules that must be adhered to and compliance to these standards is critically necessary. Due to the efforts of WIN 911’s strategic partner Micromedia, Lilly was able to adopt an alarm notification infrastructure that integrated smoothly with their existing workflows and emergency hardware and protocols. These raw energy sources enable the industrial process to function: electricity, WIN-911 Software | 4020 South Industrial Drive, Suite 120 | Austin, TX 78744 USA industrial steam, iced water, air mixtures of varying quality. Refrigeration towers, boilers and wastewater are monitored by ALERT. Eli Lilly identified 15000 potential variables, but limitations compelled them to chisel the variable list down to 300. This allowed all major alarms to be covered including pressure, discharge, quantity of waste water discharged,temperature, carbon dioxide content, oxygen & sulphur content, and the water’s pH.