Scenario: Your team is considering adopting Apache Flink for real-time stream processing. How would you ensure high availability and fault tolerance in the Apache Flink cluster?
- Deploying Flink in a distributed mode
- Enabling job checkpointing
- Increasing the number of task managers
- Utilizing external monitoring tools
Enabling job checkpointing in Apache Flink is essential for ensuring high availability and fault tolerance. Checkpoints allow Flink to persist the state of the streaming application periodically, enabling recovery from failures by restoring the state to a consistent point in time. This ensures that processing can resume without data loss or duplication.
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