1. Redundancy: Multiple instances of critical components are deployed, ensuring that if one instance fails, another is available to take over.
2. Isolation: Components are isolated from one another to reduce the impact of any failures, and to prevent cascading failures from taking down the entire system.
3. Automation: Automated systems can identify failures and quickly make changes to prevent further damage or instability.
4. Monitoring: Systems are monitored continuously to identify problems and proactively resolve them before they become major issues.
5. Modular design: A modular design allows for components to be swapped out or replaced without significantly impacting the rest of the system.
6. Scalability: Systems are designed to scale up or down based on changing demands, ensuring that resources are utilized efficiently and cost-effectively.
7. Load balancing: Load balancing distributes workloads across multiple instances, preventing any one instance from being overloaded and causing failure.
8. Failover mechanisms: If one component fails, a failover mechanism can automatically redirect traffic or service requests to an alternative instance to maintain system uptime.
9. Backup and recovery: Data and configurations are backed up regularly, and recovery plans are in place to restore the system to a stable state in the event of a failure.
10. Testing and validation: Systems are thoroughly tested and validated before deployment to ensure they can withstand the expected workload, and that they fail gracefully in the event of unexpected or excessive traffic.
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