Spotify, Salesforce, and Apple – these are just a few examples of companies who have been embracing the work-from-home arrangement and might even do so forever. In fully adopting this setting, they can drastically reduce virtual coordination costs through a modular organization. Thanks to microservices, modular setups are now easier to implement with faster application deployment, flexibility, and maintainability.
Architects and development teams need to understand which design pattern will best suit their application performance needs. So, let us look at an overview of 7 must-know design patterns for microservice architecture. Client-side discovery
In this service discovery pattern, endpoint clients locate the provisioning service by searching a registry, pinpointing an available instance, and submitting their request. The Client-side is known for its simplicity and quick coordination with the providing service. Server-side discovery
Contrary to client-side, server-side discovery allows clients to make requests through dedicated messaging brokers like API gateway. Although it requires careful configuration of the message broker, services become less dependent on each other with this pattern. Saga design
This pattern aims to introduce a means to quickly recover failed systems and revert services to previous versions when needed. It has controller services that receive messages from a broker in the form of events and identify the service the event means to trigger. Strangler fig
Also known as the strangler pattern, this approach allows developers to turn an existing big ball of mud monolith into independent services and components without needing complete system rewrites. Model-view-controller
MVC creates a recurring pattern where a controller passes the user’s info to the model. The model then sends instructions to the view element accordingly. Retry Pattern
This design configures services to allow a predetermined number of call attempts before ultimately terminating the operation. In this pattern, developers can train their services to retry failed calls rather than simply shutting them down in response. Circuit breaker
After reaching the retry request limit, a circuit breaker switches the system to an “open” state. This breaks the connection, prevents rippling failures, and returns error messages to the requesting services.
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