Reliability
Reliability is the ability of a system to perform its required functions under stated conditions for a specified period of time.
Key Concepts
Fault Tolerance
- System's ability to continue operating properly in the event of failure
- Redundancy: Having backup components
- Failover: Automatic switching to backup systems
High Availability
- System's ability to remain operational for a long period of time
- Measured as a percentage of uptime
- Common targets: 99.9% (Three nines) to 99.999% (Five nines)
Disaster Recovery
- Process of restoring systems after a catastrophic failure
- Recovery Time Objective (RTO)
- Recovery Point Objective (RPO)
Reliability Patterns
Redundancy
- Active-Active: All systems are running simultaneously
- Active-Passive: Backup systems are on standby
- Geographic Redundancy: Systems in different locations
Health Checks
- Regular monitoring of system components
- Automated recovery procedures
- Alerting systems for failures
Data Backup
- Regular backups
- Multiple backup locations
- Backup verification
Best Practices
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Design for Failure
- Assume everything will fail
- Implement graceful degradation
- Use circuit breakers
-
Monitoring and Alerting
- Real-time monitoring
- Automated alerts
- Incident response procedures
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Testing
- Chaos testing
- Failure injection
- Recovery testing
Common Challenges
- Cost of redundancy
- Complexity in distributed systems
- Balancing reliability with performance
- Managing technical debt