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Namastack

Reliable foundations for event-driven systems.

Open-source infrastructure tools for modern distributed applications.

What is Namastack?

Namastack builds reliable infrastructure primitives for distributed systems. We focus on the hard problems so you can focus on your product.

Reliability

Every component is built to withstand failure and guarantee delivery.

Consistency

Atomic operations ensure your data and events stay in sync.

Production Readiness

Battle-tested under real workloads. No toy projects.

Simplicity

Clean APIs that integrate without friction into existing systems.

Open Source

Transparent, community-driven development. Always.

Featured Project

Namastack Outbox

An open-source transactional outbox implementation for Spring Boot that guarantees atomic database and message publishing operations.

Solves the Dual-Write Problem

Eliminates the risk of writing to a database and publishing an event as two separate, non-atomic operations.

Reliable Event Delivery

Guarantees that every database change is followed by a corresponding event, even when services crash or restart.

Built for Microservices

Designed from the ground up for distributed architectures where inter-service communication must be consistent.

Production Ready

Battle-tested in production environments. Handles retries, ordering, and idempotency out of the box.

Spring Boot Native

First-class Spring Boot integration. Auto-configuration, starter dependencies, and familiar programming model.

Community Supported

Open source with ~300 GitHub stars and an active community of contributors and users.

Why Reliability Matters

In distributed systems, consistency isn't optional — it's the foundation everything else is built on.

01

Distributed Systems Are Complex

Coordinating state across services introduces failure modes that monoliths never face. Every network call is a potential point of failure.

02

The Dual-Write Problem

Writing to a database and publishing a message are two separate operations. If either fails, your system state becomes inconsistent.

03

Event Loss Is Silent

Lost events don't throw exceptions. They silently corrupt downstream state, leading to bugs that are nearly impossible to trace.

04

Data Corruption Compounds

One missed event cascades through dependent services. By the time you notice, recovery requires manual intervention across multiple systems.

Build reliable event-driven systems with confidence.

Get started with Namastack Outbox and eliminate the dual-write problem in your microservices today.