Multi-Region Deployment: Building Resilient Cloud Applications
Learn how to deploy applications across multiple AWS regions for high availability and disaster recovery.
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Multi-region deployments provide high availability and disaster recovery. This guide covers implementation.
# Primary region (us-east-1)
Resources:
PrimaryDB:
Type: AWS::RDS::DBInstance
Properties:
Region: us-east-1
MultiAZ: true
# Secondary region (us-west-2)
Resources:
SecondaryDB:
Type: AWS::RDS::DBInstance
Properties:
Region: us-west-2
ReadReplicaSourceIdentifier: !Ref PrimaryDB
Resources:
PrimaryRecord:
Type: AWS::Route53::RecordSet
Properties:
Failover: PRIMARY
HealthCheckId: !Ref PrimaryHealthCheck
SecondaryRecord:
Type: AWS::Route53::RecordSet
Properties:
Failover: SECONDARY
Multi-region deployments provide resilience. Use Route 53 and data replication for effective failover.
For Multi-Region Deployment: Building Resilient Cloud Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Multi-Region Deployment: Building Resilient Cloud Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Multi-Region Deployment: Building Resilient Cloud Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
For Multi-Region Deployment: Building Resilient Cloud Applications, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.
Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.
Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.
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