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Dependency failures can disrupt applications, but resilience patterns can help manage them.

The retry pattern helps systems recover from temporary failures but can cause overload if misused.

Cascading failures occur when one service's failure impacts others, causing widespread issues.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

Microservices can communicate using five key patterns based on their needs.

Replicas keep your system available, while snapshots allow for data recovery.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.

The Circuit Breaker pattern controls service calls to prevent failures from spreading.

Retry storms occur when too many retries overload a failing service.

Exponential backoff helps manage retries by increasing wait times to reduce system overload.

Partial failure means some services fail while others keep running, impacting system reliability.

Fallbacks allow systems to handle failures safely and maintain user experience.

Classifying failures and using controlled retries in Kafka prevents outages.