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Some of the largest corporations in the world, from Google to Amazon, encounter problems at enterprise levels that are not always easy to solve. Their scale of operations required that they look out for new and innovative solutions. They made the most out of the infrastructure they possessed. The eBay eCommerce site is one such mammoth operation that currently uses microservices as its backbone. Let us see what lies under the hood of microservices at eBay.
The eBay system works with over 1000 microservices. The front-end experiences, such as the web and native iOS and Android apps, call various intermediate services that orchestrate the calls, which, in turn, talk to the back-end services.
There is an independent development team for each of the services. Whenever a team wants to set up a new service, they use an internal cloud portal to provision the servers for development, testing, staging, and production.
The independent team manages the entire infrastructure for setting up the service. This kind of setup also removes unnecessary dependencies and makes it easier for them to spin up new services whenever required. For operations at eBay, this is almost a daily occurrence.
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On eBay, there are hundreds of thousands of independent services all working together.
The services were a result of evolution rather than design. A new service was created whenever there was a problem that needed to be solved. Sometimes, the service is extracted from another existing service or product. Most of eBay’s large-scale systems were developed from the bottom-up.
eBay is a huge eCommerce site that has over 800 million items listed at any point in time. eBay has also given the liberty to product listers to provide listing descriptions. However, eBay also provides a layer of structured data over these listings so that listings for a single item can be found and kept together.
Moreover, this system allows a proper understanding of pricing and supply and demand, while being able to identify deals and give better recommendations and display finer search results. It also makes onboarding inventories easier.
eBay’s integration infrastructure is fully container dependent with Docker containers and clustering using Kubernetes. They are also using more containers for applications and libraries, and everything else that is required for delivering a service on a server. Ebay has also been able to manage the scaling of operations very well using microservices.
Most of the microservices at eBay evolved without an architect and the design of the system was always from the bottom up. Most large corporations, including eBay, ultimately settled down as a set of polyglot microservices that are currently functioning as per user requirements and, of course, still evolving continuously.
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