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Accelerating HPD Lendscape Factoring Services with The Hazelcast Platform
技术
- 分析与建模 - 预测分析
- 应用基础设施与中间件 - 数据交换与集成
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- 金融与保险
适用功能
- 商业运营
用例
- 欺诈识别
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
- 系统集成
挑战
It was clear from the start that the development of HPD Lendscape would need a solution that was able to continuously process high volumes of data as fast as possible. The solution also needed to be scalable so that it could accommodate all sizes of factoring solutions. Reliability was of course a critical factor and having downtime was not an option. To support their agile teams, the solution needed to be easy to understand, build, and deploy. In addition, the application has evolved to use the Spring Framework as well as other widely adopted frameworks in order to better support the future maintainability of the application. As the market has evolved and adapted to changing technologies, so too has HPD Lendscape’s solution. The most recent evolution has focused on cloud adoption and to this end, HPD Lendscape is able to host on AWS and Azure. Initially, Ehcache was used as the in-memory solution deployed for Lendscape and it has continued to prove sufficient for single-server deployment. However, to provide solutions for the future that allows for scalable multi-node deployment, they needed a caching solution that would support real-time transactions, with very high throughput and low latency and would run continuously without service outages.
关于客户
HPD Lendscape is one of the world’s leading software vendors for secured business-to-business lending software used by over 140 banks and financial institutions across the world. HPD Lendscape’s platform, Lendscape, offers a range of capital financial solutions such as factoring, invoice discounting, supply chain, and asset-based lending. One of their key clients is Lloyds Bank Plc. The original solution was developed in Cobol running on a mainframe platform but has since been re-developed in Java to modernize the platform and make it more appealing to customers focused on digital transformation. Lendscape is deployed on-premises and will soon be available in the public cloud. For hosted solutions, HPD Lendscape rents data center storage across the world and they own the hardware in the center. The platform is managed across three core teams, engineering, technical services, and the internal IT department which consists of almost 100 experienced developers, support, and operations personnel. The engineering team is run by an experienced leader and consists of 75 individuals, broken into squads who own functional areas of the system. Each squad is comprised of a mix of disciplines, i.e., analysts, testers, and developers, who are semi-autonomous. They can be deployed to address issues very quickly following a typical agile model. This gives enormous flexibility, and each squad can work on any of HPD Lendscape’s established solutions or upcoming projects. As a very agile business, HPD Lendscape is always engaged in a cycle of continuous improvement. They are constantly seeking better ways to do things and are not afraid to fail in the process.
解决方案
Hazelcast was one of several caching solutions that were being reviewed against strict criteria that included: Ease of use – quick deployment, Familiarity of toolset, High performance, low latency, Cloud readiness, Resilience. After benchmarking several solutions, Hazelcast was chosen. Hazelcast’s integration with the Spring Framework and Azul Zulu OpenJDK helped accelerate the deployment of Hazelcast. Hazelcast is embedded within every installation of HPD Lendscape’s solution. Hazelcast’s distributed architecture was a key factor in their decision making as it offered future deployment and scalability options. Currently, in the core product, there is one central processing engine that handles all processing. The longer-term plan is to split this into multiple engines that are unbounded. In addition, the portability of the platform affords the luxury of being able to deploy Hazelcast in several different ways moving forward, including changing the architecture for their front-end processing. Hazelcast is deployed within Lendscape’s backend services to accelerate data processing from the main engine database and the reporting databases that are hosted on predominantly MS SQL Server, DB2, and Oracle. The main engine database is multiple terabytes in size and the reporting database is often up to five times bigger and stores a normalized view of the data. When the service starts up, the data is “eager” loaded (i.e., loading the data when the Hazelcast cluster members start up, rather than upon request) to ensure that the in-memory component is fully populated with all static data required to serve the backend and two front end clients. For HPD Lendscape, it is crucial to have a caching solution that holds all the data in the cache and allows capacity increases without compromising on performance—Hazelcast’s distributed architecture supports linear performance with growth.
运营影响
数量效益
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