Uploaded May 2026 | Updated September 2026, 2 days ago
Welcome to our in-depth Demo on the latest updates in F5 BIG-IP v21.0! This video is a must-watch for IT professionals, network administrators, and security experts seeking to stay ahead in today's evolving technology landscape. Dive into cutting-edge AI data delivery techniques, control plane modernization, and newly enhanced security features offered by BIG-IP v21.0.
00:00 Introduction
0:24 BIG-IP Control Plane Enhancements
00:46 Certificate Authority Migration
00:43 01:10 Model Context Protocol (MCP)
04:32 AI Data Delivery & BIG-IP S3 Profiling
06:07 SSL Orchestrator New Features
What You'll Learn:
Control Plane Modernization
Enhance performance and reliability with BIG-IP v21's improved control plane functionalities, ideal for cloud-native and on-premises solutions.
Certificate Authority Migration
Familiarize yourself with the steps to migrate from Entrust to alternative CAs while maintaining compliance and security.
Model Context Protocol (MCP)
Discover how to set up MCP, enabling precise AI-driven workflows and streamlined troubleshooting.
S3-Specific BIG-IP Profiles
Master the art of configuring S3-related profiles for seamless AI data delivery and optimized cloud integrations.
SSL Orchestrator Enhancements
Learn about powerful new SSL Orchestrator features to handle encryption smarter and simplify certificate management.
🎯 Why You Should Watch:
This video equips you with practical knowledge to utilize F5 BIG-IP v21's advanced features for scaling network performance, optimizing AI data delivery protocols, and strengthening cybersecurity measures. A must-watch for professionals navigating cloud ecosystems and AI-centric workloads.
👉 Subscribe & Share this video to keep your team updated on enterprise networking innovations. Witness the future of AI-driven data delivery and network security in action with F5 BIG-IP v21.0!
Notes:
- Contributed by: Muppalla Sridhar
- Related Article: community.f5.com/kb/technicalarticles/whats-new-in-big-ip-v21-0/344667
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Find all our platform links ⬇️ and follow our Community Evangelists! 👋
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👋 Aubrey King: linkedin.com/in/aubreyking | https://x.com/aubreykingf5
👋 Chase Abbott: linkedin.com/in/chaseabbott1
Welcome to our in-depth Demo on the latest updates in F5 BIG-IP v21.0! This video is a must-watch for IT professionals, network administrators, and security experts seeking to stay ahead in today's evolving technology landscape. Dive into cutting-edge AI data delivery techniques, control plane modernization, and newly enhanced security features offered by BIG-IP v21.0.
00:00 Introduction
0:24 BIG-IP Control Plane Enhancements
00:46 Certificate Authority Migration
00:43 01:10 Model Context Protocol (MCP)
04:32 AI Data Delivery & BIG-IP S3 Profiling
06:07 SSL Orchestrator New Features
What You'll Learn:
Control Plane Modernization
Enhance performance and reliability with BIG-IP v21's improved control plane functionalities, ideal for cloud-native and on-premises solutions.
Certificate Authority Migration
Familiarize yourself with the steps to migrate from Entrust to alternative CAs while maintaining compliance and security.
Model Context Protocol (MCP)
Discover how to set up MCP, enabling precise AI-driven workflows and streamlined troubleshooting.
S3-Specific BIG-IP Profiles
Master the art of configuring S3-related profiles for seamless AI data delivery and optimized cloud integrations.
SSL Orchestrator Enhancements
Learn about powerful new SSL Orchestrator features to handle encryption smarter and simplify certificate management.
🎯 Why You Should Watch:
This video equips you with practical knowledge to utilize F5 BIG-IP v21's advanced features for scaling network performance, optimizing AI data delivery protocols, and strengthening cybersecurity measures. A must-watch for professionals navigating cloud ecosystems and AI-centric workloads.
👉 Subscribe & Share this video to keep your team updated on enterprise networking innovations. Witness the future of AI-driven data delivery and network security in action with F5 BIG-IP v21.0!
Notes:
- Contributed by: Muppalla Sridhar
- Related Article: community.f5.com/kb/technicalarticles/whats-new-in-big-ip-v21-0/344667
⬇️⬇️ JOIN THE COMMUNITY! ⬇️⬇️⬇️
DevCentral is an online community of technical peers dedicated to learning, exchanging ideas, and solving problems—together.
Find all our platform links ⬇️ and follow our Community Evangelists! 👋
➡️ DEVCENTRAL: community.f5.com
➡️ YOUTUBE: youtube.com/devcentral
➡️ LINKEDIN: linkedin.com/showcase/f5-devcentral
➡️ X: https://x.com/devcentral
Your Community Evangelists:
👋 Jason Rahm: linkedin.com/in/jrahm | https://x.com/jasonrahm
👋 Buu Lam: linkedin.com/in/buulam | https://x.com/buulam
👋 Aubrey King: linkedin.com/in/aubreyking | https://x.com/aubreykingf5
👋 Chase Abbott: linkedin.com/in/chaseabbott1








![Agentic Observability: Monitoring AI Traffic with F5 NGINX & OpenTelemetry
AI agents are fundamentally changing infrastructure traffic — and traditional load balancers are flying blind. In this demo, we show how to gain deep, real-time visibility into AI/MCP traffic natively using F5 NGINX and OpenTelemetry — with zero backend code changes.
Using NGINX JavaScript (NJS) at the proxy layer, we parse JSON streams in real time to extract tool names, client identities, and target MCP servers. Combined with OpenTelemetry and the golden signals (latency, throughput, error rates), you get a comprehensive observability layer for agentic AI infrastructure — exportable to any OTel-compatible backend.
🔗 Get the code and try it yourself: [Ihttps://github.com/nginx/nginx-mcp-js/tree/main]
🔗 MCP Blog: [https://blog.nginx.org/blog/introducing-agentic-observability-in-nginx-real-time-mcp-traffic-monitoring]
Timestamps:
0:00 – Introduction & the AI traffic problem
0:22 – Why AI agents are unpredictable (fan-out behavior)
0:46 – Three critical blind spots: delivery, UX, and observability
1:36 – The NGINX solution: native Layer 7 MCP inspection
2:07 – How it works: NJS parsing + OpenTelemetry golden signals
2:51 – Demo walkthrough: installation & NGINX config
3:12 – Extracting MCP metadata and mapping to OTel spans
3:53 – Running the load generator to simulate AI traffic
4:00 – Grafana dashboard overview
4:19 – Troubleshooting: isolating slow tools
4:46 – Identifying rogue AI clients by identity
5:05 – Monitoring backend MCP server health
5:32 – Wrap-up and next steps
Notes:
- Contributed by: Akash Ananthanarayanan
- Related Article: None
⬇️⬇️ JOIN THE COMMUNITY! ⬇️⬇️⬇️
DevCentral is an online community of technical peers dedicated to learning, exchanging ideas, and solving problems—together.
Find all our platform links ⬇️ and follow our Community Evangelists! 👋
➡️ DEVCENTRAL: https://community.f5.com
➡️ YOUTUBE: https://youtube.com/devcentral
➡️ LINKEDIN: https://www.linkedin.com/showcase/f5-devcentral/
➡️ X: https://x.com/devcentral
Your Community Evangelists:
👋 Jason Rahm: https://www.linkedin.com/in/jrahm/ | https://x.com/jasonrahm
👋 Buu Lam: https://www.linkedin.com/in/buulam/ | https://x.com/buulam
👋 Aubrey King: https://www.linkedin.com/in/aubreyking | https://x.com/aubreykingf5
👋 Chase Abbott: https://www.linkedin.com/in/chaseabbott1 Agentic Observability: Monitoring AI Traffic with F5 NGINX & OpenTelemetry](https://i.ytimg.com/vi/PydaFJirjj0/mqdefault.jpg)

