Microservices vs Monolith

Data & Tracking

Also: Microservices Architecture · Monolithic Architecture

The choiceOne codebase vs many small services
MonolithSimpler to build, harder to scale parts
MicroservicesFlexible, but adds operational complexity
Watch forChoosing complexity you don't need yet

Quick definition

Microservices and monolith are two ways to structure software. A monolith is one large application where everything runs together. Microservices split the same functionality into small, independently deployable services that talk to each other over a network.

How it varies across Australia

Most Australian mid-market ecommerce and martech stacks still run on monolithic platforms, with microservices adoption concentrated in larger enterprise and platform teams. The gap tends to widen as customer data platform and integration complexity grows.

See digital maturity benchmarks across Australian industries

What it actually means

Think of a monolith as one big kitchen where every chef works off the same bench, the same fridge, the same ticket rail. Change the menu and every chef feels it. Microservices split that kitchen into small stations, each responsible for one dish, each with its own fridge, passing plates to each other through a hatch.

A monolith is a single application. Your website, your checkout, your customer data platform (CDP) integration, your API layer, all in one codebase, deployed together, sharing one database. It's simple to build, simple to reason about, and simple to deploy when the team is small.

Microservices break that same functionality into independent services. Each one owns its own data, deploys on its own schedule, and communicates over an application programming interface (API) or event bus. That flexibility is real, but it comes with a tax. You now need service discovery, distributed tracing, and a team that understands network failure modes, not just code logic.

The decision rarely hinges on which architecture is 'better'. It hinges on whether your team, your traffic and your integration count justify the operational overhead. Most businesses reach for microservices before they've outgrown the monolith that would have served them fine.

A monolith you understand beats a microservices architecture you're still learning to operate.

How it shows up

This choice shows up wherever engineering and marketing intersect. A monolith often means your website, CRM integration and tracking pixel all live in one deploy pipeline, so a single bug can take the whole site down. Microservices show up as separate systems for checkout, search and recommendations, each independently scalable, but requiring more coordination when tracking a customer journey across all three for attribution purposes.

It also shows up in how fast marketing can move. Adding a new UTM parameter convention or a tracking pixel is often a same-day change in a monolith and a multi-team conversation in a microservices setup.

The Australian context

Australian ecommerce businesses running on Shopify, Magento or a similar platform are effectively choosing a monolith by default, with the platform vendor managing complexity behind the scenes. The businesses genuinely weighing microservices are usually enterprise retailers or Software as a Service (SaaS) companies with dedicated platform teams. For most mid-market Australian businesses, the honest conversation is about whether the monolith is well-built, not whether it's time to split it apart.

Where people get this wrong

Adopting microservices to look modern rather than to solve a real bottleneck.Microservices solve specific scaling and team-coordination problems. Without those problems, they add latency, cost and failure points with no offsetting benefit.
Assuming a monolith can't scale.Well-architected monoliths handle significant traffic and complexity. The bottleneck is usually poor code separation, not the architecture pattern itself.
Splitting services without splitting data ownership.Microservices that all read and write the same shared database inherit most of a monolith's coupling problems while adding all of the network overhead.

Related terms

Common questions

Should a small ecommerce business use microservices?

Almost never at the start. A small business benefits from the simplicity of a monolith or a managed platform like Shopify. Microservices make sense once traffic, team size and integration complexity genuinely outgrow what a single codebase can handle cleanly.

Does microservices architecture affect marketing tracking?

Yes. Tracking a customer journey across multiple independent services requires consistent event naming and a shared data layer. Without that discipline, attribution and analytics become harder to trust than in a monolith where everything shares one data model.

Is a monolith bad for SEO or site speed?

Not inherently. Site speed depends on code quality, hosting and asset delivery, not on whether the backend is one application or many. A slow monolith and a slow microservices setup fail Core Web Vitals for the same underlying reasons.

What's the middle ground between monolith and microservices?

A modular monolith. One deployable application internally organised into clear, loosely-coupled modules. It gets most of the maintainability benefit of microservices without the operational cost of running many separate services.

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About New Rebellion

New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.

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