Which dashboards should SREs watch to spot latency spikes on Azure Front Door before customers do?

The safest way to roll out updates on Azure Front Door without risking peak-hour outages is to use a canary deployment strategy by leveraging the weighted routing capabilities of your origin groups. This approach allows you to direct a small percentage of live traffic to the updated backend while monitoring its performance. If any issues are detected, traffic can be instantly reverted to the stable version with minimal user impact.

In light of recent, complex outages like the Cloudflare-AWS congestion and Azure Front Door (AFD) platform configuration errors, disaster recovery (DR) testing for AFD must move beyond simple backend failures. Your tests should now simulate broader network degradations and AFD platform-level issues to validate your full resilience strategy. 

• 1. Test backend failover under duress
• 2. Simulate AFD platform-level failure
• 3. Verify end-to-end resilience during a game day
• 4. Practice communication and documentation

The Azure Front Door service is inherently resilient to regional cable cuts because it operates as a global entry point on Microsoft's backbone network. For added protection for workloads, you should combine Front Door's native multi-regional routing with multi-region application deployment and a DNS-based failover service like Azure Traffic Manager for extra redundancy.

The safest way to roll out updates on Amazon Bedrock without risking peak-hour outages is to use a canary deployment strategy. This technique involves directing a small, incremental percentage of live traffic to the new model or configuration while closely monitoring its performance. If any issues are detected, traffic can be instantly routed back to the stable version, mitigating risk during peak hours.
The blue/green method, while effective, can be less granular and riskier for AI models, where behavior changes are more subtle. Canary deployments provide fine-grained control and a real-world testing period.

To spot Amazon Bedrock latency spikes before they impact customers, SREs should focus on a multi-layered dashboard in Amazon CloudWatch. This approach uses Bedrock's native metrics, application performance data, and network-level insights to provide early warnings and help pinpoint the root cause of performance degradation.