Category: Telecommunications

This blog introduces a structured placement approach for AI workloads across AWS hybrid infrastructure. By evaluating each AI lifecycle phase against four dimensions (data sovereignty, latency, data gravity, and operational readiness), architects can determine the optimal deployment tier among AWS Regions, AWS Local Zones, AWS Outposts and AWS AI Factories.

Telecom engineers routinely analyze decoded signaling traces to troubleshoot network issues, validate procedure execution, and accelerate root cause analysis. In 5G networks, even a single registration attempt can span multiple layers such as NAS and NGAP. The registration attempt includes security context establishment and carries identifiers such as Subscription Concealed Identifier (SUCI), Globally Unique Temporary […]

This blog shows how to build a vendor-agnostic, agentic mediation layer using Amazon Bedrock AgentCore, the Model Context Protocol (MCP), and Strands Agents to create an intelligent mediation fabric that decodes, normalizes, correlates, consolidates, routes, and encodes usage events in real time across any downstream billing system.

This blog post covers the concepts of network tracing and how it can be implemented across a complex, distributed environment where different teams run applications in separate AWS accounts, using Amazon Virtual Private Cloud (VPC) feature called Amazon VPC Traffic Mirroring.

Introduction The network slicing market is accelerating as leading operators offer wide-scale services to enterprises and consumers. Network slicing is a 5G technology that partitions a single physical network into multiple, isolated virtual networks (slices), each customized for specific use cases like gaming, Extended Reality (XR), Internet of Things (IoT), and enterprise applications. Network slicing […]

Ericsson rApp as a Service – Redefining Network Optimization with Agentic AI The future of telecom networks is autonomous, intelligent, and cloud driven. Ericsson and AWS are taking a significant leap forward by introducing Ericsson rApp as a Service (rApp aaS), a pioneering solution designed to accelerate the journey towards autonomous networks for Communication Service […]

Introduction In today’s mission-critical networks, distributed and edge computing plays a vital role in telecommunications, gaming, Edge AI processing, and autonomous vehicles. As distributed applications are deployed across multiple AWS Regions, Availability Zones (AZs), and Local Zones (LZs) to meet customer demands for ultra-low latency services, understanding each node’s performance becomes increasingly complex. Traditional monitoring […]

Introduction Frontier Communications is the largest pure-play fiber provider in the United States with 3.2 million broadband subscribers across 25 states and over 12,000 employees. The Retention & Loyalty group ensure our customers remain delighted by optimizing the customer journey, reducing churn, and improving Lifetime Value (LTV). As data scientists, we use the Amazon Web […]

This post introduces the “Semantic MCP Server” pattern—a hybrid edge architecture designed to solve the “Data Gravity” problem in Telecommunications. It demonstrates how to reduce Cloud inference costs and ensure Data Sovereignty using Fine-Tuned Small Language Models (SLMs) deployed on AWS Outposts or AWS AI Factories. The Target Audience are Telecommunications Network Architects, MLOps Engineers, […]

How your IP addresses are perceived plays a critical role in ensuring reliable communication with external services. Whether you’re a telecom provider routing customer traffic, a software-as-a-service (SaaS) platform engaging with business partners, or an enterprise application reaching users across the internet, the perception of your IP space directly affects accessibility and service continuity. Although […]