Customer: TOP 10 Russian IT- software company.Task: develop the key modules of an information security management system (SIEM).Solution: We built several Windows services performing the following functions:
- Retrieve reference information from the Internet and external sources
- Process the obtained data by the specified rules
- Store and edit information by filtering, grouping and adding reference data (high load - one billion records per day).
- Transfer data files between the systems nodes.
- Import information from files of various formats to the database for further processing and analysis.
- Data visualization through a reporting module (as graphs, tables, bar charts and maps).
Customer: leading Russian developer of workflow, document flow and business process management solutions.
Our team first got to know the Customer while working on a pilot project on deploying and updating the company’s applications from a hierarchic maven repository. The next task for the team was to develop plugins for the document management system interface (a local repository to store the downloaded files in the file system, and the dialog boxes to work with the files were created). The plugins were developed for Windows, Linux and Mac OS and adapted to the most popular browsers.
Our programmers are still working closely with their international development team. The project currently continues, and the product is constantly being enhanced. Our team is developing and supporting the “thin” Web client (high-level architectural solutions as well as their implementation of modules and visual components).
Customer: Russian enterprise-passenger transport and freight.
Task: automate the ticket control planning, passenger flow analysis and generate live reports.
Description: The RELEX team designed and implemented the entire database schema and the system architecture. The application has 3 modules: ticket control system, passenger flow analysis and a database application.
The plan ticket control. Generates route ratings based on primary raw data and aggregates route checking, ticket collectors schedule and tasks for each ticket collector.
Passenger flow analysis. Analyzes the passenger flow via a subsystem that determines a vehicle location at a station and calculates the number of entering passengers.
Database Application. The end application handles large amounts of data: 3 to 7,5 million records per day. As a result, several tables (over 2 billion records each) are processed concurrently in the online database, and with the accumulation of history these numbers will grow.
Customer: world’s leading anti-spam service provider.
Task: The Customer requested our team to enhance and support its product
Solution: The RELEX team designed and developed the low level (kernel) of the incoming e-mail analysis system. Based on the kernel was created a new email scanner. To improve the filtering quality, the following functions were implemented in the system:
- Message language auto-detection (without impairing the performance),
- Natural language parsing
- Collecting statistics based on the parser results.
These functional modules became the basis for an artificial intelligence system and containers for storing and accessing the accumulated statistics. Our team successfully resolved the task of filtering messages in Eastern languages (Chinese, Korean, Japanese etc.). The final application, besides the high email filtering quality and additional services, can process over 500 messages per second with full content analysis in the integrated target system.It also uses traditional methods of spam traffic limitation, like filtering the incoming TCP/IP traffic by the incoming IP address, which helps narrowing down the channel for unknown or suspicious traffic sources.Along with spam filtering, the system can identify messages of some specific categories, such as phishing, mail/safe-list and bounce/backscatter auto-generated.
Client: private clinic.
A distributed Web service for storing, managing and exchanging medical information (patients' personal data, accepted orders for medical examinations and analyses, results etc.) between medical laboratories. The stage two of development was to enable the program to communicate with medical equipment. The work involved low level programming and networking, writing drivers and firmware and using specific protocols.