GIDS news media, articles, insights and virtual events educate and illuminate its audiences so they can be fully prepared to deal with the new realities at work and in their professions.
Get the latest event updates, and insights from today's leading voices.
< session />
Wed, April 28Architecture & Distributed SystemsReliability, Observability & SecurityAI-Native Software
Microservices are commonly designed around bounded requests from predictable clients. Agents change that assumption. They can plan across services, retry after uncertain outcomes, fan out work, keep workflows alive for long periods, and create a new attempt when the previous one may already have changed business state.
In this session, you will explore the distributed-system consequences of allowing agents to drive service workflows. Through a representative claims-processing flow, you will see how a timeout can become an ambiguous side effect and how repeated planning can amplify load across downstream services. You will then examine how idempotency, backpressure, asynchronous messaging, sagas, outbox patterns, compensating actions, circuit breakers, bulkheads, and replay-safe state can contain these failures. The focus is on runtime behaviour, including how to distinguish agent traffic from human traffic in traces, set retry and fan-out budgets, preserve workflow state, and decide when a service should accept, defer, or reject further work.
What You Will Learn
How agent retries, fan-out, and long-lived workflows can weaken common microservice assumptions
How to use sagas, outbox patterns, idempotency, and compensation to handle uncertain side effects
How to define retry, fan-out, and degradation controls that prevent agents from amplifying failure
Who Should Attend
Software Architects, Distributed Systems Engineers, Backend Developers, Platform Engineers, and SREs integrating agents with service architectures. Practical familiarity with microservices, messaging, retries, and distributed failure is recommended.
< speaker_info />
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
