Traffic spikes are no longer rare events, they’re daily realities. A major sporting event. A viral broadcast. Millions of IoT devices reconnecting after a power outage. For operators running legacy AAA, these moments expose a dangerous gap: infrastructure that was capacity-planned months ago for traffic that arrived today. When AAA (Authentication, Authorization, and Accounting) slows down, every subscriber session stalls with it. Modernizing that control layer is no longer optional.
The Problem with Static AAA in a Dynamic Network
Legacy AAA was designed for predictable growth and hardware-based scaling. Operators would estimate peak load months in advance, overprovision to be safe, and absorb the CAPEX hit. That model breaks down when networks serve millions of subscribers across fixed, mobile, and Wi-Fi simultaneously.
Overprovisioning wastes capital. Under provisioning risks authentication failures, SLA breaches, and subscriber churn. Neither is acceptable in a lean, competitive telecom environment.
A Cloud-Native Architecture Built for How Traffic Actually Behaves
Alepo AAA 13.0 is delivered as a Cloud-Native Function (CNF) on Kubernetes, built on microservices-based architecture with independently deployable and scalable components. Unlike monolithic deployments that require full-stack provisioning to handle load changes, the CNF model allows individual components to scale based on actual demand.
For CNF deployments, Kubernetes Horizontal Pod Autoscaler (HPA) handles traffic surges automatically. When authentication request volumes climb, additional AAA pods spin up across worker nodes. When demand subsides, unused resources scale back down. The result is infrastructure that responds to real conditions rather than worst-case estimates and cloud spend that tracks actual usage rather than peak projections.
Operators also benefit from Kubernetes-native capabilities for rolling updates, zero-downtime upgrades via Helm, and automated pod replacement if a node fails.
Carrier-Grade Availability — Documented, Not Assumed
Alepo’s AAA infrastructure delivers 99.999% availability through active-active clustering, real-time database replication, and automatic failover to secondary nodes during outages. Emergency Database Mode ensures authenticated users maintain service continuity even if database connectivity is temporarily lost, preventing both subscriber impact and accounting revenue leakage.
Also Read: How Digital BSS Cuts Service Launch Time from Months to Weeks
Business Impact: What This Means for Operators
- Lower infrastructure spend. Demand-driven scaling replaces capacity overprovisioning, cloud resources consumed reflect actual traffic, not worst-case estimates.
- Reduced operational overhead. Kubernetes-native operations (rolling restarts, config reloads, automated failover) reduce manual intervention compared to VM-based deployments.
- Faster service recovery. Automated self-healing replaces node failures within the cluster, keeping subscriber sessions unaffected without requiring manual escalation.
- TTM for new services. API-driven configuration and BSS integration via REST interfaces allow operators to introduce new service tiers without AAA re-architecture.
FAQs
What makes Alepo AAA “cloud-native” versus simply “cloud-hosted”?
Cloud-native means the application is built from the ground up as containerized microservices on Kubernetes, not a legacy application running inside a VM on a cloud server. This architecture enables independent scaling of components, automated orchestration, rolling zero-downtime upgrades, and HPA-driven auto-scaling based on live traffic conditions.
Does Alepo AAA support both VM-based and CNF deployments?
Yes. Alepo AAA 13.0 supports two deployment paths: traditional VM/EMS installation for operators with existing on-premise infrastructure, and CNF/Kubernetes deployment for cloud-native environments. Features like HPA auto-scaling and Prometheus/Grafana monitoring are specific to the CNF model.
How does the 99.999% availability figure hold up in real deployments?
It’s achieved through active-active clustering, automatic failover to secondary database nodes, real-time data replication, and Emergency Database Mode, which keeps authentication running even during database connectivity loss. These aren’t architectural aspirations; they’re features documented in Alepo’s production deployment configurations.
Can Alepo AAA handle simultaneous large-scale reconnection events, like IoT devices coming back online after an outage?
Yes. The CNF deployment model handles burst authentication events by scaling pods horizontally across Kubernetes worker nodes. Industry-leading TPS performance with sub-millisecond latency ensures that even mass reconnection events don’t degrade response quality for other subscribers.
How does Alepo AAA integrate with existing BSS and OSS systems?
Alepo AAA is fully API-driven, with REST, and HTTP web services interfaces supported out of the box. It integrates with BSS platforms for prepaid charging, CRM for subscriber provisioning, PCRF over Diameter Gx for policy, and OCS over Diameter Gy for real-time quota management.
Ready to see how Alepo AAA handles your peak traffic scenarios? Request a demo and speak with our AAA specialists about your deployment requirements.
