The simplest way to handle large-scale data processing and visualization with Redpanda, Propel's Serverless ClickHouse, and Next.js Building real

Build a blazing fast real-time dashboard with serverless technologies

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2024-08-29 21:00:19

The simplest way to handle large-scale data processing and visualization with Redpanda, Propel's Serverless ClickHouse, and Next.js

Building real-time dashboards that are fast, scalable, and capable of handling large numbers of concurrent users is a complex challenge. Traditional methods using data warehouses or transactional databases with embedded business intelligence (BI) tools often fall short due to issues with data freshness, query latency, and a rocky user experience.

In this tutorial, you'll learn how to ingest real-time data with Redpanda Serverless and stream it to Propel's Serverless ClickHouse. You'll also learn how to perform fast queries on this streaming data and visualize it in a Next.js application.

A real-time dashboard provides users with the most current data, presented with minimal delay, ensuring decisions can be made based on the freshest insights. Here are a few use cases where real-time dashboards have the most impact:

Real-time dashboards play a crucial role in monitoring product usage, offering instant insights to customers on how the product is performing for them. Courier, a notifications API platform, exemplifies this by offering developers real-time usage metrics. This data lets developers quickly identify the most effective communication channels and optimize their notification strategies.