What type of data pipeline issues can alerts help identify?
- All of the above
- Data corruption
- High latency
- Resource exhaustion
Alerts in data pipelines can help identify various issues, including high latency, data corruption, and resource exhaustion. High latency alerts indicate delays in data processing, potentially affecting downstream applications. Data corruption alerts notify about anomalies or inconsistencies in the processed data, ensuring data integrity. Resource exhaustion alerts warn about resource constraints such as CPU, memory, or storage, preventing pipeline failures due to insufficient resources. By promptly identifying and addressing these issues, alerts contribute to maintaining the reliability and performance of data pipelines.
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