Technical Solutions
MAINFRAME & AS/400 MODERNIZATION
About
Perfect your legacy strategy with elastic scale and agility while dramatically reducing costs
As businesses embark on digital transformation initiatives and continue to modernize their business operations, requirements are growing for enhancing workflow performance to better customer experience and to reduce costly operations. Choose InsightEdge Smart Cache or Smart ODS to accelerate innovation and optimize TCO by offloading legacy data and processes, across any environment, as digital assets in a modern, robust and secure in-memory data and analytics platform.
Benefits
Reduce MIPS consumption with low-latency in-memory compute and storage which continuously captures the mainframe or AS/400 data. Your compute-intensive workloads are shifted from the mainframe to run on GigaSpaces, while maintaining the original business logic.
Innovate your legacy infrastructure with microservices-based APIs, event-driven fast analytics, and BI on fresh data. Your legacy data and processes can easily be consumed as digital assets on a low-latency, high-performance in-memory platform which abstracts and simplifies the access to your enterprise data warehouse and operational systems; unifying your API and data strategies. Applications can scale indefinitely without increasing complexity.
Power the consumption of your legacy data and processes as cloud-based digital assets, in stages that meet your business needs. With a continuous modernization approach, you can start without making any changes (keeping the same interfaces) and then gradually migrate data and processes, based on hybrid, cloud or multi-cloud requirements. Intelligent data replication capabilities support filtering, custom aggregations and compression, ensuring optimized network utilization, privacy and security requirements. Encryption and anonymization of the data in transit supports privacy regulations such as GDPR.
Case Studies
Scalable Backbone for Credit Services
Scalable Backbone for Credit Services
Customer
A leading American multinational investment bank and financial services company
Business Challenge
The bank wanted to increase computing power so that risk, credit and other analytical and transactional calculations could be done faster – without spending millions of dollars adding more processors and storage devices to its data centers. They required:
- An always-on credit service that is easy to use and access with low-latency response times for a superb customer experience from any device
- A solution to reduce queries from mainframe, to lower TCO
- Greater agility to deliver new applications
Technical Challenge
- Millisecond business requirements
- Mission critical availability
- Elastic scalability
- Serving multiple applications
Results
- 35+ Million customers access service per day from any device
- 640 million transactions per day, burstable up to 1 billion transactions per day.
- Millisecond response for excellent customer experience
- Reduction of queries to their mainframe, reducing MIPS usage and costs by over $20M a year
- No Downtime since deployment
Centralized Account Authentication
Centralized Account Authentication
Customer
One of the Largest Brokerage Firms in the US
Business Challenge
The bank wanted to build a centralized account authorization mechanism for applications supporting multiple languages with low latency & high performance.
They required:
- An always-on account authorization with low-latency response times for the growing number of users from new mobile applications
- A solution to reduce queries from mainframe, to lower TCO
- Centralized account information from various databases
Technical Challenge
- Millisecond business requirements
- Mission critical availability
- Elastic scalability
- Ability to support multiple applications, and handle large amount of mobile users
Results
- Centralized account authorization information
- Reduction of $7 million annually on MIPS usage
- No downtime since deployment
- Excellent user experience for over 10 million users
- 1 TB data grid, stores accounts, user sessions, profiles
Fraud and Money Laundering Detection in Real-Time
Fraud and Money Laundering Detection in Real-Time
Customer
This company is a leader in fraud prevention and risk management. They provide financial institutions and customers with fraud and risk management tools, facilitate a secure exchange between financial organizations and offer solutions for responding quickly to evolving fraud challenges.
Business Challenge
This customer was looking for a solution to detect fraud in real-time for mobile payments and check deposits. They required high-availability to assure 24X7 access for demanding customers. Reducing their current TCO was also a priority.
- Detecting fraud on mobile payment applications in real-time
- Detecting the deposit of the same check-in multiple accounts at different banks in real-time
- User experience: application availability 24×7
- TCO reduction: reduce dependency on expensive RDBMS
Technical Challenge
- Required ingestion of 4 TB of data daily
- Support of fully consistency for transactional in-memory map-reduce
- Millisecond response
- Ability to analyze and validate against a large dataset of live (multiple TB) in memory and archived data (to Cassandra NoSQL and Hadoop)
Solution
The GigaSpaces in-memory real-time analytics platform provides sub-second response for accurate fraud detection to stop the transaction before it is completed. The high-performance solution ingests 4 TB daily and handles over 1.5M events per second. TCO was reduced when introducing RAM and SSD, replacing expensive alternatives. No-Downtime is assured with a fault-tolerant, highly available, scaling on-demand solution.
Predictive Maintenance and Route Optimization
Predictive Maintenance and Route Optimization
Customer
This leading rail-based transportation company is focused on rail transportation and real estate, supplying rail-based freight transportation. Their rail and intermodal businesses provide rail-based transportation services including traditional rail service and the transport of intermodal containers and trailers.
Business Challenge
This customer needed to run predictive analytics on their equipment while ingesting and processing streaming data at scale, in order to monitor and diagnose potential failures to help its fleet operators reduce maintenance costs, improve the process of troubleshooting, and redirect trains in a timely manner.
Technical Challenge
- Process streaming data at scale and query from a live data mart
- Event-driven analytics and business logic
- Many small low-volume streams that require correlation and statefulness (the IoT streaming problem)
- Real-time analytics leveraging GPS, train sensor data
Solution
With GigaSpaces’ in-memory real-time analytics platform, this customer was able to ingest and process streaming data from millions of sensors and provide real-time insight and respond instantly to situations. By leveraging machine learning on real-time and historical data, the safety and reliability of the journey has improved as well as cost-saving measures that conserve fuel and increase safe operating speeds. Event-based triggers now direct the output to operational workflows and live dashboards for timely maintenance and redirecting of trains.