22. Database Recovery
MongoDB Tutorial - 23. High Availability and Disaster Recovery

23.1 Introduction to High Availability (HA) and Disaster Recovery (DR)

Overview of HA and DR concepts and principles

Importance of ensuring continuous availability and data protection

Key differences between HA and DR strategies


23.2 High Availability Concepts

Understanding the requirements for high availability

Redundancy and fault tolerance in system design

Strategies for minimizing downtime and maximizing uptime


23.3 Disaster Recovery Planning

Introduction to disaster recovery planning

Identifying potential risks and threats to system availability

Developing a comprehensive disaster recovery plan


23.4 Business Continuity Management

Integrating HA and DR into business continuity management

Establishing recovery time objectives (RTO) and recovery point objectives (RPO)

Business impact analysis and risk assessment


23.5 Data Replication

Introduction to data replication techniques

Synchronous vs. asynchronous replication

Replication topologies: Master-slave, master-master, multi-master


23.6 Failover and Failback Procedures

Implementing failover and failback procedures for high availability

Automating failover processes

Testing failover and failback scenarios


23.7 Clustering and Load Balancing

Introduction to clustering and load balancing technologies

High availability clustering solutions (e.g., failover clustering, load balancing clusters)

Implementing load balancers for distributing traffic


23.8 Data Backup and Restore

Importance of data backup in disaster recovery

Backup strategies: Full, incremental, differential backups

Implementing backup and restore procedures


23.9 Data Archiving and Retention

Introduction to data archiving and retention policies

Archiving strategies for long-term data storage

Ensuring compliance with regulatory requirements


23.10 Cloud-Based High Availability and Disaster Recovery

Leveraging cloud services for HA and DR

Disaster recovery as a service (DRaaS) solutions

Implementing cloud-based backup and recovery strategies


23.11 Monitoring and Testing

Monitoring system health and availability

Proactive monitoring for detecting potential failures

Regular testing and simulation of disaster recovery scenarios


23.12 Continuous Improvement and Optimization

Evaluating and optimizing HA and DR strategies

Incorporating feedback and lessons learned into improvement plans

Staying abreast of new technologies and best practices in HA and DR


22. Database Recovery