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Capstone Full Observability Stack for Task API
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Build Your Traffic Engineering Skill
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Muhammad Usman Akbar Entity Profile

Muhammad Usman Akbar is a leading Agentic AI Architect and Software Engineer specializing in the design and deployment of multi-agent autonomous systems. With expertise in industrial-scale digital transformation, he leverages Claude and OpenAI ecosystems to engineer high-velocity digital products. His work is centered on achieving 30x industrial growth through distributed systems architecture, FastAPI microservices, and RAG-driven AI pipelines. Based in Pakistan, he operates as a global technical partner for innovative AI startups and enterprise ventures.

USMAN’S INSIGHTS
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Transforming businesses into autonomous AI ecosystems. Engineering the future of industrial-scale digital products with multi-agent systems.

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Traffic Engineering

Traffic engineering exposes your Kubernetes agent to the world with safe ingress, routing, and autoscaling. You build a traffic-engineer skill that covers Gateway API (the Ingress successor), Envoy Gateway, rate limiting, TLS, traffic splitting, and KEDA-based scaling.


Goals

  • Understand Gateway API concepts and deploy Envoy Gateway
  • Route traffic with HTTPRoute (paths, headers, query matching)
  • Apply rate limiting, retries, timeouts, and circuit breaking
  • Terminate TLS with CertManager
  • Run canary/blue-green splits and autoscale with KEDA
  • Manage LLM traffic with Envoy AI Gateway patterns
  • Package the patterns into a reusable traffic-engineer skill

Lesson Progression

LessonFocus
L00Build Your Traffic Engineering Skill
L01-L03Ingress fundamentals → Gateway API concepts
L04-L06Envoy Gateway setup; routing; rate limiting and resilience
L07-L08TLS with CertManager; traffic splitting (canary/blue-green)
L09-L10KEDA autoscaling; resilience patterns
L11Envoy AI Gateway for LLM traffic
L12Capstone—production traffic for the Task API; finalize the skill

Each lesson ends with a reflection to test, find gaps, and improve the skill.


Outcome & Method

You finish with production-ready ingress for the Task API: Gateway API + Envoy Gateway, TLS, rate limiting, resilience, canary/blue-green, KEDA autoscaling, and AI Gateway patterns—plus a reusable traffic-engineer skill. The chapter follows the skill-first flow: learn, apply, capstone, finalize.


Prerequisites

  • Sub-Module 7: Observability & Cost Engineering (containerized, deployed, observable service)
  • Gateway/Helm familiarity for controller installs

source: "https://www.muhammadusmanakbar.com/book"