Challenge
The main objective of the project was the consolidation of previously scattered databases. The solution for this was the implementation of Exadata X9 servers.
During the server implementation, the client prioritized the efficient allocation and utilization of physical resources, as well as the logical separation of different environments (production, testing, development). For this reason, KVM (Kernel-based Virtual Machine) virtualization was used.
The implementation of the Exadata X9 servers presented several challenges due to the client's requirements. One of the biggest tasks was the proper planning and integration of functions organized into different network segments. This complexity demanded thorough planning and close collaboration between various departments of the ORFK.
How we helped?
- Data Assessment
- Mapping all relevant databases and data structures.
- Planning
- Developing a unified data model and migration strategy.
- Data Cleansing
- Removing redundant and outdated data, improving data quality.
- Migration
- Transferring data to Exadata X9 servers, ensuring data integrity.
- Infrastructure Implementation
- Installing and configuring Exadata X9 servers.
- System Optimization
- Performance tuning and security checks.
- KVM Virtualization
- This technology enables efficient sharing of physical resources and isolation of different environments.
- Network Segregation
- Ensures that various functions and databases operate in isolated network segments.
- Security Compliance
- Due to the sensitive nature of police data, special attention was given to adhering to security regulations.
- Data Integration Implementation
- We centralized the Robotzsaru system to eliminate data management issues stemming from decentralized operations.
- Establishing Effective Information Sharing
- We unified the system to enable more efficient information exchange among various governmental institutions.
- System Performance Optimization
- We addressed performance challenges arising from fragmentation by centralizing and optimizing the system.
- Standardizing Data Management
- We implemented solutions that ensured the maintenance of data integrity throughout the entire system.