---
title: "Discussion on \"What AI Engineers Can Learn From OpenSearch's Move to gRPC\" | Hashnode"
description: "Discussion on \"What AI Engineers Can Learn From OpenSearch's Move to gRPC\". OpenSearch is adopting gRPC to improve performance and scalability. Here's what AI engineers can learn about low-latency communication, distributed systems, and building AI infrastructure at scale."
url: "https://hashnode.com/posts/what-ai-engineers-can-learn-from-opensearch-s-move-to-grpc/6a368e34998af5167ddb35b9"
---

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# [What AI Engineers Can Learn From OpenSearch's Move to gRPC](https://himanshutech.hashnode.dev/what-ai-engineers-can-learn-from-opensearch-s-move-to-grpc?utm_source=hashnode&utm_medium=feed)

OpenSearch is adopting gRPC to improve performance and scalability. Here's what AI engineers can learn about low-latency communication, distributed systems, and building AI infrastructure at scale.

Jun 20 · 9 min read · himanshutech.hashnode.dev  
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-   [#artificial-intelligence](https://hashnode.com/tag/artificial-intelligence)
-   [#opensearch](https://hashnode.com/tag/opensearch)
-   [#grpc](https://hashnode.com/tag/grpc)
-   [#software-engineering](https://hashnode.com/tag/software-engineering)
-   [#system-design](https://hashnode.com/tag/system-design)

## Written by

[himanshu](https://hashnode.com/@hmnshpathak1)

@hmnshpathak1 · Delhi, India

  
[View profile](https://hashnode.com/@hmnshpathak1)

Building scalable systems, one architecture decision at a time.

I'm a Technology Leader, AWS Certified Solutions Architect, and AI innovator passionate about building scalable cloud-native platforms, distributed systems, and production-grade AI solutions. Currently, I lead AI innovation initiatives for PepsiCo's B2B digital platforms, where I work on applying Generative AI, intelligent agents, cloud architecture, and modern engineering practices to solve complex business challenges at scale. My work spans AI orchestration, agentic systems, enterprise integrations, cloud-native architectures, and large-scale distributed platforms serving millions of users. Over the years, I've designed and delivered solutions across AWS, microservices, event-driven architectures, Kafka, serverless platforms, and enterprise ecosystems. I enjoy transforming complex technical challenges into scalable, resilient, and business-impacting solutions. Through this blog, I share practical lessons from building real-world AI systems, architecting cloud platforms, optimizing performance, scaling distributed applications, and leading engineering initiatives. My goal is to help engineers, architects, and technology leaders make better technical decisions while navigating the rapidly evolving landscape of AI and cloud computing. Topics you'll find here include: • Generative AI, Agentic Systems & AI Architecture • Cloud Architecture & AWS • Distributed Systems & Event-Driven Design • System Design & Scalability Engineering • Performance Optimization & Reliability • Engineering Leadership & Technology Strategy • Real-World Architecture Case Studies When I'm not building systems, I'm exploring emerging AI technologies, experimenting with new architectural patterns, and sharing insights at the intersection of technology, innovation, and business transformation.

## Responses 1

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[Amiyanshu Pathak](https://hashnode.com/@amiy24)

[Jun 20](https://hashnode.com/posts/what-ai-engineers-can-learn-from-opensearch-s-move-to-grpc/6a368e34998af5167ddb35b9/comment/6a36b211cb200bdcd09152d3)

Magnificent post, very nicely explained