{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Next-Gen Network Heroes","title":"True Visibility: How Liang Chen is Rethinking Network Monitoring","html":"","width":"100%","height":180,"duration":1474,"description":"What happens when deep networking expertise meets low-level programming and a passion for invention?In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Liang Chen, Senior Network Architect at Texas Children's Hospital and a true innovator in network performance and visibility. With more than 25 years of experience in networking, plus advanced expertise in programming languages like C and Assembly, Liang has built his own next-generation traffic analysis platform from the ground up—designed to provide real-time, packet-level visibility at massive scale.Liang shares how his background in telecom helped shape his career, from building public IP networks in China in the early days of internet infrastructure to solving mission-critical performance challenges in healthcare today. He explains why traditional tools like SNMP and NetFlow can only go so far, and how his invention—EngineTA, a next-gen network traffic analyzer—captures and analyzes traffic at up to 200Gbps with zero packet loss. The conversation also explores AI in healthcare, troubleshooting large-scale imaging transfers to the cloud, and why research, curiosity, and persistence are essential for any network engineer looking to solve brand-new problems.Takeaways:Traditional visibility tools have limitations: SNMP and NetFlow-based tools provide useful insights, but they often miss the full picture. Liang explains why sampled data isn’t enough when troubleshooting complex performance issues and why true packet-level visibility matters.Packet-level analysis unlocks deeper troubleshooting: Liang’s tool analyzes every packet in real time, allowing teams to identify retransmissions, packet loss, latency, and asymmetric traffic paths faster and more accurately.Zero packet loss is critical in network forensics: When troubleshooting sensitive environments like hospitals, missing even a small amount of data can hide the root cause. Complete packet capture ensures nothing gets missed.Healthcare...","thumbnail_url":"https://img.transistorcdn.com/GfgAO1UoFlV2HP5eGS4MbqtuhqDYeks-uizqneGlR9U/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMjg4/MzgzNmZiODNhMTVk/NDM2YzFjNmY5OGEx/OWFlZC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}