Get the Most Out of MetaDefender Core
Performance Optimization and Fine-Tuning Guide
Customize Your MetaDefender Core Experience
Stronger Core Resilience
Shorter Processing and Scanning Times
Increased Throughput
More Efficient CPU Usage
On-Demand Scalability
Real-World Results
for Cross Domain Security
A typical use-case for cross domain solutions is scanning OS patches—usually in the form of archive files (e.g. CAB, MSU, DE, etc.). In this example, see how MetaDefender Core version 5.10.0 with 20 antivirus engines ran in an optimized environment.

Throughput
150 Objects/second *
*Scanning Windows patches totaling over 14M objects
Metrics That Matter
While processing files on MetaDefender Core, the service performance is measured by various metrics, some of those commonly used to define performance level include:
- Throughput, or the number of processed objects per hour vs. number of processed files per hour
- Submission load, or the number of successful requests per second
- Average processing time per object
- Total processing time against certain data set.

It is crucial too for any high-performance system to have monitoring mechanisms that ensure all metrics are kept in control, and if not, are identified and addressed efficiently and quickly. In the context of MetaDefender Core, these parameters can be monitored for performance measurement:
- System resources (CPU, RAM, Disk, etc.)
- MetaDefender Core active performance
- MetaDefender Core health check

Fine-Tuning MetaDefender Core
During its operation, MetaDefender Core and its engines are expected to utilize system resources as much as possible to boost throughput while not exceeding pre-defined thresholds continuously for long periods of time.
Fine-tuning Meta Defender Core based on your use-case and system hardware can maximize overall performance with optimization broken down into two categories: System Tuning and Application Tuning.
MetaDefender Core Knowledge Base
Looking for more documentation for advanced MetaDefender Core usage? Visit our in-depth resource repository now for more information.