AmberPoint 向 InetSoft 寻求嵌入式性能报告解决方案
公司规模
1,000+
地区
- America
国家
- United States
产品
- AmberPoint SOA governance application
- InetSoft’s Style Report Enterprise
技术栈
- JavaScript
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 数据即服务
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- Software
适用功能
- 商业运营
用例
- 预测性维护
服务
- 软件设计与工程服务
关于客户
AmberPoint 是一家提供全球分布最广、实施最广泛的复合应用治理和管理解决方案的公司。AmberPoint 利用基于策略的方法来管理基于服务的系统的运行状况，使其企业客户能够更好地了解系统行为、管理其分布式环境中的每笔交易，并实施自动化性能管理、补救异常情况和维护安全性的策略。该公司的客户是企业、政府机构和领先的软件公司，他们运行高交易系统，其中许多系统都是任务关键型和高价值的。他们向 AmberPoint 寻求可靠、全面的解决方案来管理其复合应用的运行时。
挑战
AmberPoint 为企业、政府机构和领先的软件公司提供治理和管理复合应用程序的解决方案。这些客户运行高交易系统，其中许多系统都是任务关键型和高价值的。他们依靠 AmberPoint 提供可靠、全面的解决方案来治理复合应用程序的运行时。然而，AmberPoint 面临着关于其服务水平协议管理功能的数据表示层的决策。这些要求要求基于 Web 的信息访问以满足临时报告需求，并要求格式化 PDF 报告分发以满足标准化的正常运行时间报告。如果要选择 OEM 解决方案，它需要提供内部开发的解决方案所提供的控制灵活性。AmberPoint 力求避免 API 中的限制，因为这些限制会阻碍新核心应用程序功能及其相关信息报告需求的持续开发。最后，该技术需要足够易于实施和部署，以避免随之而来的昂贵咨询服务。
解决方案
AmberPoint 的研究始于商业智能领域供应商的分析师报告，然后将范围缩小到少数几家供应商进行技术评估。最终，该公司选择了 InetSoft 的 Style Report Enterprise 应用程序，这是 Style Intelligence 中的发布产品，InetSoft 的完整商业智能平台。Style Report Enterprise 专注于报告和数据访问，因此是一款轻量级的可嵌入应用程序，与体积庞大的全包式商业智能解决方案不同。另一个关键区别是 InetSoft 在开发 API 方面的经验，其他开发人员依靠该 API 将应用程序嵌入到他们的解决方案中。虽然 InetSoft 也提供功能齐全的独立商业智能应用程序，但它从其他更专注于预打包应用程序且仅提供基本 API 的应用程序中脱颖而出。最后，仅通过基本培训和大量 API 文档，AmberPoint 就能够快速学习如何使用所有 JavaScript 开发人员都熟悉的 API 进行编码。
运营影响
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
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
Zend accelerates, simplifies PHP development
Zend Technologies, a major contributor to the PHP open source community, needed to keep pace with emerging trends such as mobility, agile development, application lifecycle management and continuous delivery. The company needed to provide the right tools to the worldwide community of PHP developers. The challenge was to support enterprise-class capabilities from end to end, including mobile, compliance and security. The pace of business required developers to show results fast across a variety of devices without compromising quality or security.
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.
