Skip to content

Widhian Bramantya

coding is an art form

Menu
  • About Me
Menu
nats

Request–Reply in NATS: One-to-One Messaging

Posted on September 6, 2025September 6, 2025 by admin

In the previous article, I explained the Publish–Subscribe pattern in NATS, which is great for broadcasting messages to many subscribers. But sometimes you need a different style: you want to send a message and get a response back. This is where the Request–Reply pattern comes in.

What is Request–Reply?

Request–Reply is a one-to-one communication pattern:

  • A client (or requester) sends a request to a subject.
  • A service (or replier) listens on that subject, processes the request, and sends back a response.
  • The client waits for the reply, usually with a timeout.

Unlike pub/sub, where messages are broadcast to all subscribers, Request–Reply expects exactly one response.

Request–Reply in NATS

Request Reply
Request Reply

NATS makes this pattern very simple. The client uses the Request API, and the service uses a normal Subscribe.

Example in Go

Client (Requester):

msg, err := nc.Request("time.now", []byte(""), 2*time.Second)
if err != nil {
    log.Fatal(err)
}
fmt.Printf("Got reply: %s\n", string(msg.Data))

Service (Replier):

nc.Subscribe("time.now", func(m *nats.Msg) {
    now := time.Now().Format(time.RFC3339)
    m.Respond([]byte(now))
})

Here, the client sends a request to time.now. The service receives it and replies with the current time.

When to Use Request–Reply

  1. Querying a Service
    • Example: A user profile service listens on user.get.
    • A client sends a request with a user ID and gets back user details.
  2. Remote Procedure Call (RPC)
    • You can design microservices where each service exposes a set of subjects.
    • Other services can call them by sending requests.
  3. Health Checks
    • Monitoring systems can send requests like service.health.
    • Services reply with "OK" or some status information.

Related posts:

Ensuring Message Ordering in NATS: A Kafka-like Approach

Producers and Consumers: How Data Flows in Kafka

Introduction to NATS: A Lightweight Messaging System

See also  Ensuring Message Ordering in NATS: A Kafka-like Approach
Pages: 1 2
Category: NATS

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Linkedin

Widhian Bramantya

Recent Posts

  • Smart Automation in PostgreSQL: Managing Time-Based Data with pg_partman and pg_cron
  • Understanding PostgreSQL WAL, Slot, Publication, LSN, and Replication Lag
  • PostgreSQL Write-Ahead Log (WAL): Durability, Performance Tuning, and Recovery Explained
  • PostgreSQL Replication Deep Dive: From High Availability to Multi-Master Clusters
  • Finding Nearby Merchants in a Ride-Hailing App Using Elasticsearch Polygon Search
  • Advanced Text Search in Elasticsearch: N-Gram, Reverse, Fuzzy, and Search-as-you-type
  • Understanding and Customizing Analyzers in Elasticsearch
  • Log Management at Scale: Integrating Elasticsearch with Beats, Logstash, and Kibana
  • Index Lifecycle Management (ILM) in Elasticsearch: Automatic Data Control Made Simple
  • Blue-Green Deployment in Elasticsearch: Safe Reindexing and Zero-Downtime Upgrades
  • Maintaining Super Large Datasets in Elasticsearch
  • Elasticsearch Best Practices for Beginners
  • Implementing the Outbox Pattern with Debezium
  • Production-Grade Debezium Connector with Kafka (Postgres Outbox Example – E-Commerce Orders)
  • Connecting Debezium with Kafka for Real-Time Streaming
  • Debezium Architecture – How It Works and Core Components
  • What is Debezium? – An Introduction to Change Data Capture
  • Offset Management and Consumer Groups in Kafka
  • Partitions, Replication, and Fault Tolerance in Kafka
  • Delivery Semantics in Kafka: At Most Once, At Least Once, Exactly Once

Recent Comments

No comments to show.

Archives

  • October 2025
  • September 2025
  • August 2025
  • November 2021
  • October 2021
  • August 2021
  • July 2021
  • June 2021
  • March 2021
  • January 2021

Categories

  • Debezium
  • Devops
  • ElasticSearch
  • Golang
  • Kafka
  • Lua
  • NATS
  • PostgreSQL
  • Programming
  • RabbitMQ
  • Redis
  • VPC
© 2026 Widhian Bramantya | Powered by Minimalist Blog WordPress Theme