Data distribution with 1Optic Cortex

High-performance telecom data collection with Cortex

Cortex is 1Optic’s data collection and distribution layer for telecom environments. It collects large volumes of network data from multiple sources, domains and protocols, then distributes that data reliably across your architecture. For telecom teams, data collection is the first step toward better monitoring, analysis and automation. Cortex helps make that step faster, more controlled and more reliable. Built in Rust and designed for high performance, Cortex supports low-latency data handling, detailed logging, data quality controls and flexible data stream configuration.

Efficient management

Every data flow starts with control

Reliable network insight depends on reliable data management. Cortex gives teams control over how data streams are collected, retained, distributed, retrieved and published. Each data stream can be configured separately. This makes it possible to apply different rules, retention settings and distribution scenarios depending on the source, purpose or operational need. Cortex is built in Rust, which makes it fast and memory efficient. Combined with components such as the advanced dispatch module, the SFTP scanner and detailed monitoring options, Cortex provides a strong foundation for high-volume telecom data environments.

High performance.
Low latency.

Information security via audit logs.

Smart:
No duplicate data.

Receive a notification for new data.

Easy integrations

Configure every data stream

Not every data stream has the same purpose. Some data needs to be retained, some needs to be redistributed, some needs to be retrieved later and some needs to be published for monitoring or analysis. Cortex allows teams to configure retention, distribution, retrieval and publication settings for every data stream. This gives telecom teams the flexibility to manage data based on operational requirements, compliance needs and technical architecture.

Detailed logging

When something goes wrong in a data flow, teams need to understand what happened quickly. Cortex supports detailed logging and connections to standard logging facilities. This helps teams investigate anomalies, monitor data movement and troubleshoot issues with more context. Detailed logging also supports better control over data integrity and operational reliability.

Publish your metrics

Cortex can publish metrics and includes default dashboards for monitoring data flows. This gives teams visibility into how data is moving through the system, where bottlenecks may occur and whether specific data streams are performing as expected. By making data flow performance visible, Cortex supports both operational monitoring and long-term optimization.

Data quality first

Network analysis is only as strong as the quality of the underlying data. Cortex is designed to protect data quality during collection and distribution. The platform helps prevent duplicate data, unwanted alteration and data loss. This creates a more reliable foundation for downstream processing, visualization, automation and reporting. For telecom teams working with large data volumes, this reliability is essential.

Every amount, every data source

Cortex can dispatch data from multiple domains and a wide range of data sources. Each stream can have its own configuration, allowing teams to manage complex data flows in a structured way. The platform supports both push and pull mechanisms and can work with different protocols at the same time. All data formats are supported, making Cortex flexible enough for complex telecom environments where standardization is not always possible at the source.

All data formats are supported.

“Cortex has saved us multiple times with recovering ‘lost’ data by resending these data from its internal storage”

Senior Data Engineer at tier 1 mobile operator

See us in action

The best way to understand us is to see how it processes telecom data in practice. Book a 1-on-1 and discover how we help your team extract, transform and load high-volume network data for monitoring, reporting, analytics and automation.