What are the main challenges of real-time log processing?
An example of an AI chatbot conversation about challenges in processing logs in real-time.
What are the main challenges of real-time log processing?
The main challenges include data volume, latency, data integrity, and the need for real-time analytics.
How do you handle high data volume in real-time processing?
You can use distributed systems and scalable architectures to manage high data volumes effectively.
What tools are best for real-time log processing?
Popular tools include Apache Kafka, Logstash, and Fluentd, which help in managing and processing logs efficiently.
Can you explain the importance of data integrity in this context?
Data integrity ensures that the logs are accurate and reliable, which is crucial for making informed decisions.
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