Cloud-network convergence architecture integrating 5G users, enterprise clients, and IoT devices through a unified multi-layer topology. Traffic flows from edge entry points (WAF, CDN, API Gateway) through load balancing and firewalls to a 5G core network, SD-WAN backbone, and distributed MEC nodes for low-latency processing. Edge compute layers (MEC nodes, edge cache, edge AI inference) handle real-time workloads while asynchronously syncing data via event bus to centralized cloud compute, Kubernetes clusters, databases, and ML platforms. This architecture demonstrates hybrid cloud-edge deployment patterns that reduce latency, improve resilience, and enable intelligent processing at network edges while maintaining centralized governance through monitoring and IAM. Fork this diagram on Diagrams.so to customize for your 5G infrastructure, edge computing topology, or multi-tenant cloud-network strategy. The design balances edge autonomy with cloud coordination, ideal for telecom, industrial IoT, and real-time analytics workloads.