Beyond APIs: Orchestration Patterns & MCP for Multi-Agent Systems
Enterprises are moving from single AI agents to networks of agents that trigger thousands of API calls, retries, and tool-chains per prompt. Without orchestration discipline and APIs built for AI-scale, systems buckle under bursty load, retry storms, cache-miss spikes, inconsistent decisions, and runaway costs.
This talk shows how to combine MCP (Model Context Protocol) with proven inter-agent orchestration patterns — Supervisor, Pub/Sub, Blackboard, Capability Router — and how to harden APIs for autonomous traffic using rate limits, dedupe, backpressure, async workflows, resilient caching, and autoscaling without bill shock.
You’ll also learn the AIRLOCK Framework for governing multi-agent behavior with access boundaries, identity checks, rate controls, least-privilege routing, observability, compliance filters, and kill-switches.
You will walk away with a practical blueprint for building multi-agent systems that are fast, safe, reliable, and cost-predictable.
KEY TAKEAWAYS
Pattern Literacy: When to use Orchestrator, Pub/Sub, Blackboard, Router
MCP Fluency: Standardize agent↔tool integration
API Scaling: Rate limits, dedupe, backpressure, async, caching
Resilience: Bulkheads, jitter, circuit breakers, autoscaling guardrails
Observability: Trace chain-ID/tool-ID across agents & tools
AIRLOCK Governance: Access boundaries, identity, rate controls, least-privilege routing, compliance, kill-switches
AGENDA
Why AI Changes Load Patterns
Bursty workloads · fan-out · retry amplification · cost spikesMCP 101
Standardized agent→tool access · hot-swappable toolsOrchestration Patterns
Supervisor · Pub/Sub · Blackboard · Capability RouterArchitecting APIs for AI Traffic
Multi-dimensional rate limits · dedupe · backpressure · SWR caching · asyncResilience & Autoscaling
Circuit breakers · bulkheads · kill-switches · budget capsObservability & Governance
Chain-ID tracing · anomaly detection · AIRLOCK boundaries
About Rohit Bhardwaj
Rohit Bhardwaj is a Director of AI & Data Architecture at Salesforce, where he focuses on enterprise AI, agentic systems, cloud-native architecture, distributed systems, data platforms, security, and large-scale transformation.
Over his career, Rohit has designed and led complex enterprise platforms across AWS, Google Cloud, microservices, real-time data, API ecosystems, resilient distributed systems, and AI-enabled architectures. His work increasingly focuses on the challenges enterprises face as software evolves from deterministic services to AI-native and agentic systems—particularly around reliability, governance, evidence, security, observability, cost, and safe autonomy.
Rohit is the author of System Design with AI Interview Guide: Designing Scalable, Agentic, and Defensible Systems, published by Apress. The book presents a modern approach to system design covering scalability, distributed systems, AI architecture primitives, security, reliability, economics, agentic systems, and real-world architectures including e-commerce, ride sharing, payments, fraud detection, messaging, video streaming, file storage, and search. (Springer Link)
Book:
Amazon: https://a.co/d/09Zs1twa
Publisher / Springer Nature: https://link.springer.com/book/10.1007/979-8-8688-2782-2
O'Reilly: https://learning.oreilly.com/library/view/system-design-with/9798868827822/
Rohit is also an O’Reilly instructor and a frequent speaker at technology conferences including No Fluff Just Stuff, UberConf, GIDS, and other international events. His talks focus on practical architecture lessons from building and operating complex systems, including AI control planes, trusted agents, inference at scale, evidence-first RAG, AI security, distributed-system failure, and AI-era software architecture.
As a trusted advisor and architecture leader, Rohit works at the intersection of business strategy and deep technical architecture—helping teams translate complex business problems into scalable, resilient, secure, and economically sustainable systems.
Rohit holds an MBA in Corporate Entrepreneurship from Babson College and graduate-level education in Computer Science from Boston University and Harvard University.
Connect with Rohit:
LinkedIn: http://linkedin.com/in/rohit-bhardwaj-cloud
X / Twitter: @rbhardwaj1