下载PDF
Zend accelerates, simplifies PHP development
技术
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- Software
适用功能
- 产品研发
用例
- 自动化制造系统
服务
- 软件设计与工程服务
- 系统集成
挑战
Zend Technologies 是 PHP 开源社区的主要贡献者,需要跟上移动性、敏捷开发、应用程序生命周期管理和持续交付等新兴趋势。该公司需要为全球 PHP 开发人员社区提供合适的工具。挑战在于从端到端支持企业级功能,包括移动性、合规性和安全性。业务的节奏要求开发人员在各种设备上快速展示结果,而不会影响质量或安全性。
关于客户
Zend Technologies 是 PHP 开源社区的领先公司。该公司致力于推动 PHP 的发展,同时通过其 Zend Server 产品简化企业级 PHP 应用程序的开发。如今,超过 80% 的网站运行 PHP,Zend 对应用程序开发领域有着独特的见解。该公司的客户越来越多地管理应用程序,不仅是在开发过程中,而且是在整个生产、发布、版本控制、控制和与应用程序下的其他基础架构集成的过程中。
解决方案
Zend Technologies 采用了 IBM PureApplication System 和 IBM PureApplication Service on SoftLayer 来简化和加速企业级 PHP 开发。IBM PureApplication System 允许 Zend 开发人员快速访问外部或内部云环境中的资源,并使用模式在整个开发生命周期中简化和自动化任务,从而使他们能够快速专注于重要工作。IBM PureApplication 解决方案还支持混合云环境,使开发人员能够适应需求变化,而无需承担不必要的费用。
运营影响
相关案例.
Case Study
Factor-y S.r.l. – Establishes a cost-effective, security-rich development environment with SoftLayer technology
Factor-y S.r.l., a web portal developer, was faced with the challenge of migrating its development infrastructure to a reliable cloud services provider with highly responsive technical support. The company needed a solution that would not only provide a secure and reliable environment but also support its expansion by providing resources to create and deliver innovative offerings.
Case Study
Darwin Ecosystem: Accelerating discovery and insight through cutting-edge big data and cognitive technologies
Darwin Ecosystem was founded with a unique vision of harnessing chaos theory mathematics to uncover previously hidden connections in unstructured data. The company’s algorithms can look at all the data generated by any source (such as news, RSS feeds and Twitter), and analyze how a specific set of concepts within that data are evolving over time. This is particularly valuable in situations such as business and competitive intelligence, social research, brand monitoring, legal discovery, risk mitigation and even law enforcement. A common problem in these areas is that a regular web search will only turn up the all-time most popular answers to a given question – but what the expert researcher is actually interested in is the moment-tomoment evolution of the data available on that topic. Darwin’s algorithm is computationally intensive, and the sources of data it correlates can be vast. To bring its benefits to a larger commercial audience, Darwin needed to find a way to make it scale.
Case Study
Delivering modern data protection with cloud scale backup from Cobalt Iron and IBM
Organizations are struggling to modernize their legacy data protection environments in the face of growing demands around new infrastructure, new applications, and budget consolidation. Virtualization and modern application development processes have significantly outgrown legacy backup architectures. In response, infrastructure teams have created multiple backup solution types to handle the varying SLAs (performance, scale, cost) required by their business sponsors. However, the sheer number and variety of solutions in this uncontrolled expansion creates huge amounts of work, threatening to overwhelm the IT team in many organizations. Today, developers may add new applications and virtual server instances by the hundreds per day without accounting for the restrictions of the existing backup infrastructure. They leverage the cloud for immediate compute and storage resources, yet rarely communicate succinctly with corporate IT to ensure that the appropriate data protection services are in place.
Case Study
Achieving near limitless scalability and flexibility with data in the cloud
Web-based publishing platform SpaceCraft found that as its client base grew, it was spending an increasing amount of time managing its databases, distracting its focus from product innovation. As its user base rapidly expanded, data volumes at SpaceCraft began to rise dramatically. Along with their main focus on maintaining and further developing a great platform for web publishing, the SpaceCraft team had the added pressure of managing the increasing quantities of data while ensuring ongoing high performance for clients.
Case Study
nViso SA – Delivers emotion recognition solutions worldwide with a scalable SoftLayer hosting solution
nViso SA, a company that provides emotion recognition solutions, was in need of a high-performance cloud hosting infrastructure. The company wanted to extend its services to a global customer base. The challenge was to find a solution that could handle the demands of their growing customer base and the need for high performance and reliability.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.