Insights
Technical deep dives on agent security, DNS-based discovery, policy enforcement, and the architecture of trust.
A model can be fully safe and the system built around it still isn't, once it can call tools, invoke MCP servers, and touch infrastructure. The security boundary moved to the execution path, and it needs a control plane of its own.
Distributed AI training and inference live or die on the fabric between GPUs. A practical tour of RDMA, RoCEv2, GPUDirect, and NCCL, and why the network stopped being a connectivity layer.
MCP's stateless release candidate makes agent UIs a first-class part of the protocol. Most teams are about to treat this as a widget feature. It is a trust boundary.
LLMs repeat the same architectural mistake that gave us buffer overflows. Agent security requires deterministic policy enforcement outside the model's reasoning loop.
Network-as-a-Service promises agility, lower CAPEX, and faster time to service. But the hidden trade-offs — lock-in, loss of control, and unpredictable long-run costs — deserve a closer look.
A class-based Python solution for analyzing per-application bandwidth consumption across enterprise sites. Practical OO design applied to a real network operations problem.
DPI and reverse proxies both shape modern network management — but they solve different problems. A side-by-side look at granular control, intrusion mitigation, load balancing, and SSL termination.
Layer 3 routing was built for a world of IP-addressable endpoints. In a cloud landscape of services, identities, and policies, IP-centric design is no longer enough.
Private, public, multi-cloud, hybrid. The terms blur, but the networking problem doesn't. Why traditional networking still struggles with cloud-native infrastructure — and what an MCN platform must do.