Ellie Mae's Adoption of Hazelcast for Enhanced Performance and Scalability
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Encompass
- Hazelcast High-Density Memory Store
技术栈
- .Net
- Java
- Hazelcast
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 平台即服务 (PaaS) - 数据管理平台
- 分析与建模 - 预测分析
- 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
- 预测性维护
- 过程控制与优化
- 远程资产管理
服务
- 系统集成
- 软件设计与工程服务
- 测试与认证
关于客户
Since its foundation in 1997, Ellie Mae has become the leading provider of end-to-end business automation software for the U.S. mortgage industry, facilitating the process of originating and funding mortgage loans so lenders can achieve compliance, quality, and efficiency. Ellie Mae serves banks, credit unions, and mortgage companies of all sizes, providing an all-in-one, fully integrated solution that covers the entire loan lifecycle. Ellie Mae provides one system of record so loan providers can close high-quality, compliant loans more efficiently, no matter what the industry or regulators do next. Encompass® is an end-to-end solution delivered using a software-as-a-service (SaaS) model that serves as the core operating system for mortgage originators. Encompass spans customer relationship management, loan origination, and business management. Ellie Mae also provides an integrated network that allows mortgage professionals to conduct electronic business transactions with mortgage lenders and settlement service providers who process and fund loans. According to estimates, more than 20% of all mortgage originations in the U.S. flow through the Ellie Mae network.
挑战
Before Ellie Mae adopted Hazelcast, its Encompass application was suffering from two major problems: performance and scalability. Encompass could not function within the approved service level agreements due to the disk-based access methodology of its database vendor, resulting in high latencies and lower throughput. Attempts at caching frequently used data in the Encompass application’s memory with a homegrown caching solution failed due to data inconsistency across application nodes. This internal solution was too burdensome to maintain and did not guarantee high availability, resulting in failed SLAs. Scalability was another major challenge, as Ellie Mae was expecting its business to grow by 25% to 30% every year, and its current application memory setup was not scalable, potentially resulting in significant losses.
解决方案
Ellie Mae was looking for a distributed solution that was scalable on-demand and high performance with cross-platform support, such as .Net/Java. They evaluated major solution providers, including Hazelcast, with stringent requirements around data lifetime validity, eviction, notifications, and flexible cluster-wide data consistency. From a performance point of view, Ellie Mae needed a system capable of running in a multitenant infrastructure where hundreds of client nodes could connect to a distributed server cache and handle more than 28,000 concurrent transactions. Hazelcast was chosen for its stability, performance, durability, and capabilities to scale on demand with minimum obstructions. Hazelcast replaced Ellie Mae’s homegrown caching solution, allowing the Encompass application to use ~100 GBs of data stored in Hazelcast servers. This provided super-fast access to data and increased throughput, resulting in overall increased performance. Hazelcast High-Density Memory Store addressed garbage collector-related problems by not allowing the garbage collector to run in its store, preventing application pauses and providing low latency and predictable access to data. Ellie Mae also benefited from Hazelcast’s elasticity, allowing them to scale up and down quickly and dynamically.
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
Real-time In-vehicle Monitoring
The telematic solution provides this vital premium-adjusting information. The solution also helps detect and deter vehicle or trailer theft – as soon as a theft occurs, monitoring personnel can alert the appropriate authorities, providing an exact location.“With more and more insurance companies and major fleet operators interested in monitoring driver behaviour on the grounds of road safety, efficient logistics and costs, the market for this type of device and associated e-business services is growing rapidly within Italy and the rest of Europe,” says Franco.“The insurance companies are especially interested in the pay-per-use and pay-as-you-drive applications while other organisations employ the technology for road user charging.”“One million vehicles in Italy currently carry such devices and forecasts indicate that the European market will increase tenfold by 2014.However, for our technology to work effectively, we needed a highly reliable wireless data network to carry the information between the vehicles and monitoring stations.”
Case Study
Safety First with Folksam
The competitiveness of the car insurance market is driving UBI growth as a means for insurance companies to differentiate their customer propositions as well as improving operational efficiency. An insurance model - usage-based insurance ("UBI") - offers possibilities for insurers to do more efficient market segmentation and accurate risk assessment and pricing. Insurers require an IoT solution for the purpose of data collection and performance analysis
Case Study
Smooth Transition to Energy Savings
The building was equipped with four end-of-life Trane water cooled chillers, located in the basement. Johnson Controls installed four York water cooled centrifugal chillers with unit mounted variable speed drives and a total installed cooling capacity of 6,8 MW. Each chiller has a capacity of 1,6 MW (variable to 1.9MW depending upon condenser water temperatures). Johnson Controls needed to design the equipment in such way that it would fit the dimensional constraints of the existing plant area and plant access route but also the specific performance requirements of the client. Morgan Stanley required the chiller plant to match the building load profile, turn down to match the low load requirement when needed and provide an improvement in the Energy Efficiency Ratio across the entire operating range. Other requirements were a reduction in the chiller noise level to improve the working environment in the plant room and a wide operating envelope coupled with intelligent controls to allow possible variation in both flow rate and temperature. The latter was needed to leverage increased capacity from a reduced number of machines during the different installation phases and allow future enhancement to a variable primary flow system.
Case Study
Automated Pallet Labeling Solution for SPR Packaging
SPR Packaging, an American supplier of packaging solutions, was in search of an automated pallet labeling solution that could meet their immediate and future needs. They aimed to equip their lines with automatic printer applicators, but also required a solution that could interface with their accounting software. The challenge was to find a system that could read a 2D code on pallets at the stretch wrapper, track the pallet, and flag any pallets with unread barcodes for inspection. The pallets could be single or double stacked, and the system needed to be able to differentiate between the two. SPR Packaging sought a system integrator with extensive experience in advanced printing and tracking solutions to provide a complete traceability system.
Case Study
Transforming insurance pricing while improving driver safety
The Internet of Things (IoT) is revolutionizing the car insurance industry on a scale not seen since the introduction of the car itself. For decades, premiums have been calculated using proxy-based risk assessment models and historical data. Today, a growing number of innovative companies such as Quebec-based Industrielle Alliance are moving to usage-based insurance (UBI) models, driven by the advancement of telematics technologies and smart tracking devices.
Case Study
Enhancing Security and Compliance in Remitly's Global Money Transfer Service with Fastly
Remitly, an online remittance service, was faced with the challenge of securing its proprietary global transfer network. The company needed a security solution that could meet PCI requirements and protect customers' sensitive transactions through its mobile application. The solution had to be capable of defending against new and emerging attack types without impacting performance. Remitly also had to deal with irregular traffic patterns, such as a sudden spike in account transfers from a small network segment on the Pacific coastline of South America. The company needed to determine in real time whether such traffic indicated an attack or valid requests. A traditional web application firewall (WAF) would not be able to distinguish this traffic, potentially leading to customer frustration if the IP was blacklisted.
