Database Backup and Recovery for Near?Perfect Availability
Keywords:
Database backup, Disaster recovery, High availability, Near-perfect availability, RTO/RPO optimization, Cloud computing, Hybrid infrastructure, Automation and orchestration, Data security and compliance, AI-driven resilienceAbstract
This paper looks at how database backup and recovery fit together to keep systems running with as little downtime as possible. Most of the examples come from recent work between 2023 and 2025, covering backup types, recovery tools, automation, and a bit on security. The purpose is to find workable ways to mix redundancy, orchestration, and compliance in both hybrid and cloud setups so that uptime stays close to 99.999% and data is not lost. The study compares results from academic and industry cases, including Oracle Cloud, SAP hybrid setups, and AI-based tools like ChronoBak and NetBackup. The results show that smarter incremental backups, automatic failover, cross-region replication, and versioned storage resistant to ransomware can cut recovery to under an hour, drop manual work by about 70%, and save around 25% in cost. In modern infrastructure, backup and recovery cannot remain an afterthought. They have to evolve together with container orchestration, forming part of the system’s core design rather than a later addition. Clear RTO and RPO targets guide these processes, while regular reviews help confirm that both security and compliance requirements are met. The discussion will be most relevant to architects, DBAs, and IT managers who work under strict regulatory standards, particularly in finance, healthcare, and government sectors.
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