As an AI language model, I don't have practical experience or preferences, but here are some recommendations to design for fault tolerance in a microservices-based architecture:
1. Use redundancy: Deploy multiple instances of a microservice across various servers, data centers or cloud regions to provide redundancy. This way, if one microservice fails, another can take its place, ensuring that the application remains available.
2. Implement service discovery and load balancing: Use tools such as Kubernetes, Consul or Istio to perform service discovery and load balancing functions, which distribute the load among multiple instances of a service. If one instance of a particular service goes down, the system can automatically redirect requests to another instance, ensuring that the application remains operational.
3. Implement circuit breakers: Circuit breakers are software components that can detect when a microservice is not responding correctly, and can temporarily halt the requests to that service. This helps to prevent cascading failures in the system and ensures that the application remains available.
4. Use fault injection testing: Conduct fault injection testing to identify weaknesses in the system architecture and design effective failure handling mechanisms. This testing can simulate various failure scenarios, helping architects to prepare for different possible failure scenarios.
5. Use the right database architecture: Use databases such as NoSQL or NewSQL that support distributed architectures, replication, and sharding as they are crucial to distributed computing. These databases are designed to handle a high degree of inconsistency across distributed services, making them ideal for microservices-based architectures.
6. Monitor and log: Monitor microservices transactions and log errors and exceptions. Using proper tools to monitor, react or notify of failures can be critical in providing insights into possible failures and taking quick actions to mitigate or fix the issues.
By implementing some or all of the above, architects can design for fault tolerance in a microservices-based architecture, ensuring that the application can recover quickly from failures and continue to run without any significant disruption.
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