1. How can we perform better tracking for the system errors for the background jobs and how we can handle these cases? 2. How we can scale this system for usage in a banking system or data warehouse where the transaction will be very high?

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Answering questions on error tracking and system scalability for software engineering consultant role.

For error tracking, use logging frameworks like Log4j or Logback to log errors and exceptions. Use a centralized logging system like ELK stack to collect and analyze logs.
For handling errors, use error handling techniques like try-catch blocks, error codes, and error messages. Use monitoring tools like Nagios or Zabbix to detect and alert on errors.
For system scalability, use horizontal scaling techniques like load balancing, clustering, and sharding. Use caching techniques like Redis or Memcached to improve performance.
For high transaction systems like banking or data warehouses, use distributed systems like Hadoop or Spark to handle large volumes of data.
Use cloud-based solutions like AWS or Azure to scale up or down based on demand.

1. How can we perform better tracking for the system errors for the background jobs and how we can handle these cases? 2. How we can scale this system for usage in a banking system or data warehouse where the transaction will be very high?

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