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But replicating search functionality for your own uses or users isn’t that simple, especially with microservices. Trying to retrieve data from multiple tables - never mind different databases or clusters – can easily balloon in complexity and load on your system.
That’s why Landbay built their own search microservice. Using Elasticsearch, custom indices, and event-driven messaging design patterns, a separate search microservice provides fast and flexible access to data across the whole platform. Searches happen in near-realtime, the frontend is able to dynamically generate search tables, control is centralized in configurations to make creating new searches a breeze, and you can completely re-index the system without any disruption to users.
Of course, the end result isn’t exactly the same as Google, but it definitely beats using complex search query boiler plate. Or Bing.
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Heather is a software engineer who spends her days working on Java, microservices, and all the backend tools that help put them together. After years studying finance and working in operations around the world, she is currently focused on growing and improving the distributed microservice system at Landbay, a peer-to-peer FinTech start-up here in London.