The blog also covers certain best practices & considerations you can keep in mind while building your IoT app. Citus on Azure) within the Postgres managed service on azure is the database of choice. This blog will present an end-to-end reference architecture for building a scalable IoT app. You can start small with single node & scale to multiple nodes seamlessly. Due to the superpower of distributing tables across multiple servers and ability to scale-out seamlessly, your app gets the desired performance & scalability as it evolves.Due to Postgres, your IoT app gets a rich expressive SQL interface supporting updates, deletes, filters, joins, aggregations, extensions, and so on, along with data consistency & reliability guarantees.Citus on Azure breaks these barriers by enabling you to build large scale IoT apps within the PostgreSQL ecosystem. There’s a common perception that only NoSQL databases can provide that kind of scale. Support sub-second response times and high concurrency (100s of users) while powering real-time dashboards.
Support high throughput and low latency while ingesting billions of metrics from thousands to millions of IoT devices.If you work on an app that processes time-series data coming from devices & provides real-time rich insights regarding them, you may have come across below scalability requirements for your app:
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