---
title: "StarRocks"
description: "1 posts about StarRocks, summarised, each linking to the original."
---

# StarRocks
> 1 posts about StarRocks, summarised, each linking to the original.

## Articles

### [Building a Spark observability product with StarRocks: Real-time and historical performance analysis](https://yomu.fyi/post/building-a-spark-observability-product-with-starrocks-real-time-and-hi.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Huong Vuong
- Published: Mar 6, 2025
- Type: Problem & solution

Grab’s Iris project replaces a fragmented Spark observability stack with a centralised platform for real-time and historical analysis. The previous setup split data between Grafana, Superset, InfluxDB, and a data lake, creating usability, access-control, pipeline, metadata, and high-cardinality query challenges. The new architecture uses StarRocks as a unified store, ingesting Kafka directly, serving a custom Iris web application and Superset, and backing up to S3. Its relational data model links worker metrics through worker\_uuid and Spark event metrics through app\_id, while materialised views and dynamic partitioning support responsive queries and data retention as volumes grow. The resulting system consolidates metrics and metadata, simplifies ingestion and offline processing, and supports job-level showback/chargeback; the roadmap includes recommendations, advanced analytics, machine learning, and scalability improvements.