To build a resilient microservice, you should focus on implementing fault tolerance mechanisms such as circuit breakers, retries, and timeouts. Circuit breakers help prevent cascading failures by stopping the flow of requests to a failing service. Retries allow the microservice to attempt the operation again in case of transient failures, while timeouts ensure that the service does not wait indefinitely for a response.

Additionally, it is essential to design your microservice with scalability in mind. This involves using horizontal scaling techniques such as load balancing and auto-scaling to handle varying levels of traffic effectively. By distributing the workload across multiple instances, you can ensure that your microservice remains responsive under heavy loads.

Moreover, monitoring and logging are crucial for identifying and diagnosing issues in a microservice architecture. By implementing robust logging mechanisms and monitoring tools, you can track the performance of your microservice and quickly identify any anomalies or failures. This visibility into the system allows you to proactively address issues before they impact the overall system.

Lastly, adopting a containerized approach using technologies like Docker and Kubernetes can enhance the resilience of your microservice. Containers provide isolation for your microservice, making it easier to deploy and manage across different environments. Kubernetes, on the other hand, offers features such as self-healing and automatic scaling, which further improve the reliability and resilience of your microservice architecture.