Your database systems are prone to unexpected downtime. How can you proactively prevent future instances?

Of course, something my project occur issue downtime. Solution implement high availability and Failover like replication, clustering,...

In the DB design and Admin to keeping database system up and running should: - Regula backup: all the backup should do automatically, it may help if something wrong. - Hight Available design: Implement redundancy and failover mechanisms. Having a secondary system that can take over if the primary one fails is crucial. - Sercurity: to reduce the outside/inside hack or modify should we limited the right access and dont public DB to the internet.

Some keywords to ensure the database system runs smoothly 1 - Regular backups: Regular backups of the database and operating system give the system many safety options. 2 - Use load balancing for the database such as Always On ... in SQL Server. 3 - With the network, you can configure the database in a separate DMZ and run a firewall load balancing 4 - Regularly update the operating system to have security patches to prevent security holes 5 - Use anti-virus software such as Kaspersky for Server to prevent viruses

To proactively prevent database downtime, I would: Implement redundancy by setting up database replication and failover clusters to ensure availability during failures. Automate backups with regular, tested backups to minimize data loss in case of downtime. Monitor in real-time using database monitoring tools to detect issues early, triggering alerts for proactive responses. Optimize performance by tuning queries, indexing, and scaling the infrastructure to handle traffic spikes. Conduct regular maintenance with scheduled downtime, software updates, and hardware checks to prevent unexpected failures. This approach reduces the risk of downtime by combining redundancy, monitoring, and preventive measures.

To prevent database downtime, I’d implement real-time monitoring using tools like Prometheus or Datadog to track CPU, memory, and query performance. Alerts would notify me if any resource thresholds are crossed or anomalies occur. Automated backups would run regularly, with copies stored in different locations for safety. I’d set up replication (master-slave or master-master) to ensure failover in case of a server crash. Optimizing queries and indexing would reduce resource strain, while load balancing would distribute traffic evenly. I’d also run regular maintenance and test failover procedures to ensure fast recovery during any issues.