Member-only story

Microservices Performance Optimization: Best Practices for High-Throughput Systems

Sanjay Singh
2 min readFeb 6, 2025

--

Introduction

As microservices architectures grow in complexity, optimizing performance becomes crucial for maintaining scalability, reliability, and responsiveness. High-throughput systems require careful planning and implementation of key strategies, including efficient API communication, caching mechanisms, database optimization, and scalable infrastructure. This guide covers best practices for enhancing microservices performance.

🔥 It’s time to ditch the monolith and embrace microservices for a future-proof software architecture! 🚀

Microservices Performance Optimization: Best Practices for High-Throughput Systems

Story List Categories:

  • About Me & List of Stories
  • Java — All things Java-related.
  • Java Interview Playbook: Your Go-To Reading List — For interview preparation.
  • JAVA-8 — Dedicated to Java 8 topics.
  • Spring Boot & Spring — Focused on Spring and Spring Boot.
  • Microservices Topics List — Covering various microservices toOptimizing API Response Times with gRPC and GraphQL

gRPC for High-Performance Communication

  • Uses HTTP/2 for multiplexing and reduced latency.

--

--

Sanjay Singh
Sanjay Singh

Written by Sanjay Singh

Java, Spring Boot & Microservices developer Sharing knowledge, tutorials & coding tips on my Medium page. Follow me for insights & see story list section

No responses yet