Real-Time Network Event Processing for 5G & Beyond
Process billions of CDR, mediation, and IoT events with <1ms latency. Elastic auto-scaling for traffic spikes, real-time fraud detection, and 99.999% uptime guarantees.
Telecom Industry Challenges
Legacy mediation platforms cannot keep pace with 5G event volumes and modern network complexity.
Legacy Batch Mediation
4-6 hour CDR processing delays create revenue leakage and delayed fraud detection. Real-time billing is impossible when everything depends on batch windows.
Traffic Spike Overload
Network incidents cause 100x traffic spikes. Legacy systems crash under pressure, which leads to service disruptions and emergency escalations.
Vendor Lock-In
Comptel, Mediation Zone, and Ericsson migrations cost millions. Proprietary platforms keep charging per event and per connector while trapping teams in closed tooling.
5G Event Complexity
Network slicing, edge computing, and massive IoT volumes introduce new event types. Legacy systems cannot keep up with modern protocols and data structures.
Fraud Detection Lag
SIM box fraud and IRSF are often detected hours too late. By the time teams notice, millions in revenue have already leaked through international routes.
Scaling Costs
Per-event and per-connector licensing means every new protocol or data source adds major cost. Growth becomes unpredictable and punishing.
How layline.io Solves Telecom Problems
Real-time stream processing meets carrier-grade reliability.
Real-Time Event Streams
Process CDR, mediation, and IoT events with <1ms latency. Stream-based architecture removes batch windows for real-time billing and fraud detection.
Elastic Auto-Scaling
Kubernetes-native horizontal scaling handles 100x traffic spikes automatically. No manual intervention during network incidents or peak demand.
Open-Source Freedom
Escape closed telecom platforms with code-first workflows. Use Python and JavaScript to build custom mediation, rating, and protocol handling logic.
5G & IoT Ready
Support 5G network slicing, edge computing, and massive IoT mediation with an extensible framework built for new protocols and formats.
Complete Event Lineage
Capture full event sourcing and audit trails for GDPR, lawful intercept, and fraud investigations. Track every transformation with complete history.
Telecom Use Cases in Production
From classic mediation to cutting-edge 5G orchestration.
Mediate 50M IoT Devices in Real-Time
Smart meters, connected vehicles, and industrial sensors generate millions of events per hour. Process, rate, and bill each device event with sub-second latency for real-time usage monitoring.
# Real-time call rating with fraud check
def rate_cdr(cdr):
subscriber = get_subscriber(cdr.msisdn)
if detect_fraud_pattern(subscriber, cdr):
cdr.flag = "FRAUD_ALERT"
trigger_alert(cdr)
cdr.charge = calculate_rate(
duration=cdr.duration,
destination=cdr.called_number,
plan=subscriber.plan
)
cdr.rated_at = now()
cdr.rating_engine = "v2.3.1"
return cdr
Stop SIM Box Fraud in Seconds, Not Hours
Detect IRSF, SIM box fraud, and subscription fraud patterns in real-time. Stream-based anomaly detection flags suspicious activity before revenue leaks through international routes.
Process TAP3 Files with Zero Revenue Leakage
Build pipelines to mediate roaming CDRs, validate TAP3 compliance, apply multi-currency rating, and reconcile with partner networks. Keep a complete audit trail for dispute resolution.
Orchestrate Network Slices Dynamically
Process network slicing events for dynamic QoS provisioning. Handle low-latency, high-bandwidth, and massive IoT slices simultaneously with real-time resource allocation.
Europe's largest MVNO and Digital Lifestyle Provider with more than 10 million customers.
At freenet, layline.io integrates numerous high-volume services and databases from private and public cloud.
It has replaced our legacy mission-critical solution with a cloud-native, resilient, scalable and real-time architecture. As a result, we are able to handle massive volume, have become more agile, and have reduced resources by an impressive 75%.
We made layline.io a first-class citizen in our technology stack and are working on further deployments.
Technical Architecture
Cloud-native stream processing for carrier-grade reliability.
Multi-Source Ingestion
Ingest data from classic telecom and modern network interfaces alike.
Stream Processing
Apply real-time mediation, enrichment, rate calculation, and fraud detection.
Compliance & Quality
Enforce event sourcing, privacy controls, audit trails, and data quality rules.
Multi-Channel Output
Deliver processed telecom data to downstream systems and external partners.
Container-Native Deployment
Works with any container orchestrator. Deploy in cloud, hybrid, or on-premises telecom data centers.
Frequently Asked Questions
Common questions about layline.io for telecom mediation.
Contact our telecom specialistsHow does layline.io handle TAP3 and telecom data formats?
TAP3 and other telecom data formats are fully configurable in layline.io. We provide templates for formats such as TAP3, ASN.1, and CDR variants that teams can adapt to match carrier-specific requirements.
Can layline.io scale during emergency traffic spikes?
Yes. Container-native horizontal scaling automatically handles 100x traffic spikes. During network incidents or major events, new processing pods spin up in seconds and scale back down when traffic normalizes.
Is layline.io suitable for carrier-grade 99.999% uptime requirements?
Absolutely. Self-healing clusters with automatic failover keep mediation pipelines running continuously. Distributed processing removes single points of failure for mission-critical telecom workloads.
What happens to CDR batches during processing failures?
layline.io supports transaction processing for batches and chunks of data. If a batch fails, it can be retried or routed into error handling while persistent state tracking prevents duplicate processing during recovery.
How do we migrate from Comptel, Mediation Zone, or Ericsson?
layline.io's code-first approach lets teams run legacy and layline.io systems in parallel during migration. Protocols and workflows can move incrementally without forced upgrades or expensive consulting lock-in.
Can we run layline.io in our on-premises telco-grade data centers?
Yes. layline.io runs on any container orchestrator in cloud, hybrid, or on-premises environments, which keeps data sovereignty, segmentation, and security policies under your control.
Start Processing Telecom Events Today
Choose the edition that fits your mediation requirements.
Community Edition
Production-ready. Free forever.
- Unlimited event throughput
- All core mediation features
- Community support
- Deploy anywhere
Enterprise Edition
For mission-critical telecom workloads.
- 99.999% uptime SLA
- 24/7 telecom support
- Dedicated engineering team
- Professional services and migration support
Explore More Solutions
Discover how layline.io solves data challenges across industries.
By Role
Data Engineers
Build real-time data pipelines with code-first workflows and modern stream processing.
Analytics Engineers
Transform and enrich data streams in real-time to feed analytics stacks with fresh data.
Platform Engineers
Build internal data platforms on Kubernetes with self-service workflows for data teams.