Designing Telecom Data Retention at Scale: Hot, Warm, and Cold Storage for Usage RecordsTelecom platforms generate data continuously. Call detail records, data-session events, messaging records, provisioning histories, network events, billing transactions, and audit logs accumulate as su5d ago · 9 min readtelcoedgeinc.hashnode.dev
Multi-Region Telecom Architecture: Designing Failover Without Split-BrainA telecom platform can operate reliably for months and still fail when an entire region becomes unavailable. A cloud region may experience a networking incident, a database cluster may become unreachaOct 15 · 9 min readtelcoedgeinc.hashnode.dev
Database Connection Pooling in Telecom Systems: Preventing Resource Exhaustion at ScaleModern telecom platforms rely on databases to manage subscriber records, service configurations, billing transactions, provisioning states, and usage-processing workflows. As traffic increases, databaOct 10 · 7 min readtelcoedgeinc.hashnode.dev
Zero-Downtime Deployments in Telecom: How to Release Changes Without Disrupting ServicesTelecom software cannot always be deployed the same way as a conventional web application. A typical application deployment might involve stopping an old version, starting a new version, running a few1AOct 8 · 8 min readtelcoedgeinc.hashnode.dev
Backpressure in Telecom Event Pipelines: Preventing Cascading Failures at ScaleModern telecom platforms process a continuous stream of events. Subscriber activations, SIM provisioning, usage records, balance changes, billing events, network notifications, and carrier responses cSep 23 · 8 min readtelcoedgeinc.hashnode.dev
