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Microservices Architecture

Operations and workflow managementAdvanced Level

A way of building software as small, independent services that each do one job, talk through APIs, and can be deployed and scaled separately.

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What is Microservices Architecture?

Microservices architecture is a way of building software as a set of small, independent services that each do one job and talk to each other through APIs. Each service can be developed, deployed and scaled on its own, without releasing the whole application. The opposite is a monolith, where all features ship as one codebase and one deployment. In e-commerce, a microservices setup might split search, cart, checkout, pricing and product information into separate services, with a PIM acting as the product data service that feeds the storefront, marketplaces and feeds. Microservices are related to headless and composable commerce but not the same: headless only separates the front end from the back end. See how a PIM connects to the rest of a stack on the e-commerce integrations page.

Why Microservices Architecture matters for e-commerce

Online stores have uneven load: search and checkout get hammered during a sale while account pages stay quiet. With microservices, a team can scale the busy parts and release changes to one service without touching the rest. The trade-off is complexity: more services means more APIs, monitoring and data to keep consistent. Many smaller stores do well on a platform such as Shopify and only connect specialist services, such as a PIM, where they need them.

Examples of Microservices Architecture

  • 1Service: Search, Job: indexes products and returns results, Scales: up during sales peaks
  • 2Service: Checkout, Job: handles payment and order creation, Deploys: separately from the catalog
  • 3Service: Product information (PIM), Job: supplies titles, specs and images to other services through an API
  • 4Service: Pricing, Job: calculates prices per channel and customer group
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How WISEPIM Helps

  • The WISEPIM public API (Pro plan) lets other services read and write product data, with batch updates of up to 200 items per request.
  • Opt-in auto-sync pushes a saved product about 30 seconds later to connected stores such as Shopify, WooCommerce and Magento 2.
  • Automations with schedule triggers run imports and exports hourly, daily, weekly or monthly, so other services find fresh product files.

Common mistakes with Microservices Architecture

  • Splitting into microservices before the team has the people to run and monitor them.
  • Cutting services too small, so one user action needs a long chain of calls.
  • Letting several services keep their own copy of product data without a single source.
  • Skipping API versioning, so one change breaks the services that depend on it.
  • Underestimating monitoring and logging across many services.

Tips for Microservices Architecture

  • Start with a well-structured monolith and split off services only where scaling or release speed demands it.
  • Give each service one clear owner and one clear job.
  • Keep product data in one source, such as a PIM, and let other services read from it.
  • Version your APIs and document them before other teams depend on them.
  • Set up central logging and monitoring before you add the third or fourth service.

Trends around Microservices Architecture

  • Composable commerce, where stores pick best-of-breed services for search, checkout and content.
  • Serverless functions for small, event-driven jobs.
  • API gateways that handle security and routing in front of all services.
  • A move back to modular monoliths for teams that found full microservices too costly.

Tools for Microservices Architecture

  • WISEPIM: PIM with a public API, platform connections and scheduled automations that serves as the product data source in a larger stack.
  • Kubernetes: container orchestration for deploying and scaling services.
  • Docker: packages each service with its dependencies in a container.
  • Kong and Apigee: API gateways that route, secure and monitor traffic between services.

Related Terms

API (Application Programming Interface)Batch processingBOPIS (Buy Online, Pick Up in Store) DataBusiness rulesChannel ReadinessCross-functional Collaboration

Also Known As

MicroservicesMicroservice architectureService-oriented architecture (related)

Frequently Asked Questions

Microservices are small, independent software services that each handle one business function and communicate through APIs. Together they form one application, but each service can be changed, deployed and scaled on its own.

A monolith is one application with one codebase and one deployment: a change anywhere means releasing the whole thing. Microservices split that application into separate services. That gives more flexibility in scaling and releases, at the cost of more moving parts to run and monitor.

No. Headless means the storefront is separated from the commerce back end and talks to it through an API. The back end itself can still be a monolith. Microservices split the back end into many services, and they are often combined with a headless front end.

The PIM acts as the product data service. It holds the single version of product information and supplies it through an API, exports or platform connections to the storefront, search, marketplaces and feeds. That keeps every service working from the same product data.

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