Scenario: A critical component in your data processing pipeline has encountered a series of failures due to database overload. How would you implement a circuit-breaking mechanism to mitigate the impact on downstream systems?
- Automatically scale resources to handle increased load
- Monitor database latency and error rates
- Set thresholds for acceptable performance metrics
- Temporarily halt requests to the overloaded component
Implementing a circuit-breaking mechanism involves monitoring performance metrics such as database latency and error rates. By setting thresholds for these metrics, the system can detect when the database is overloaded and temporarily halt requests to prevent further degradation of downstream systems. This allows time for the database to recover and prevents cascading failures throughout the pipeline.
Loading...
Related Quiz
- In ETL optimization, ________ techniques are used to identify and eliminate redundant or unnecessary data transformations.
- When implementing retry mechanisms, it's essential to consider factors such as ________ and ________.
- How do Data Lakes differ from traditional data storage systems?
- What is a distributed hash table (DHT)?
- Scenario: Your company needs to process large volumes of log data generated by IoT devices in real-time. What factors would you consider when selecting the appropriate pipeline architecture?