Building applications for the cloud is fundamentally different from building for on-premise servers. Cloud environments are highly distributed, dynamic, and prone to transient network failures. To build resilient and scalable cloud-native applications, developers rely on specialized Cloud Design Patterns.
In a microservices architecture, services call other services. If a downstream service fails, it can cause a cascading failure across the entire system.
The Circuit Breaker pattern prevents an application from repeatedly trying to execute an operation that's likely to fail.
Transient failures (like temporary network drops or brief database timeouts) are common in the cloud. The Retry Pattern dictates that the application should transparently retry a failed operation, often with exponential backoff, before returning an error to the user.
When migrating a massive legacy monolith to a cloud-native microservices architecture, you cannot do it all at once. The Strangler Fig pattern involves incrementally replacing specific pieces of functionality with new applications and services. Over time, the new services "strangle" the old monolith until it can be decommissioned.
When a system must process a massive, variable volume of messages, a single worker will get overwhelmed. The Competing Consumers pattern uses a message queue (like AWS SQS) where multiple worker instances pull messages concurrently, distributing the load effectively.
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