Predictive Scaling: Using AI for Telecom Network Automation
The telecommunications industry is at a pivotal moment. As data traffic continues to explode and user expectations for seamless connectivity rise, traditional network management approaches are buckling under the strain. Site Reliability Engineers (SREs)…
Internet of Agents: How AI Is Driving Autonomous 5G Networks
The telecommunications industry is on the cusp of a major transformation, moving towards fully autonomous network operations powered by Artificial Intelligence (AI). This evolution promises to revolutionize how networks are managed, optimized, and…
5G MEC: Deploying Low-Latency Workloads at the Network Edge
Multi-Access Edge Computing (MEC) represents a paradigm shift in how we deliver and consume digital services. By bringing cloud computing capabilities closer to the network edge, MEC unlocks the potential for ultra-low latency applications, a critical…
Taming Stateful Workloads: Running CNFs on Kubernetes
As the telecommunications industry embraces cloud-native architectures, the shift from traditional Virtual Network Functions (VNFs) running on hypervisors to Cloud-Native Network Functions (CNFs) orchestrated by Kubernetes presents a significant…
Achieving Zero-Downtime Deployments for 5G Network Functions with CI/CD and GitOps
The Challenge: Statefulness and Session Persistence in Telecom Traditional CI/CD pipelines, while effective for stateless web applications, often fall short when applied to the intricate world of 5G network functions. The core of the problem lies in the…