Building resilient ingestion with smart backpressure handling
Blog post from Tinybird
Tinybird's ingestion infrastructure is engineered to manage high throughput and sudden spikes efficiently, though this comes with complexity challenges, especially in maintaining reliability under varying loads and ensuring fair performance across shared infrastructure. To address these challenges, Tinybird has enhanced its real-time ingestion system, which includes an Events API and Kafka Connector, by implementing smarter, more resilient mechanisms such as thoughtful write delays, temporal rate limits, and flexible routing to mitigate resource saturation and the "noisy neighbor" effect. These improvements isolate issues without affecting other users, enhance automatic recovery from transient problems, and provide better resource management and user notifications. Tinybird is actively working on further enhancements to handle even higher ingestion rates, such as 100 GB/s, through smarter rebalancing, autoscaling, and improved management of backed-up data, ensuring the platform can handle extreme conditions without data loss or service degradation.