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Scaling and resilience are crucial aspects to consider in a microservices architecture. By implementing effective strategies, you can ensure that your microservices can handle increased load and maintain high ___.

One scaling strategy is ___, which involves adding more instances of a microservice to distribute the load. By adding more instances, you can increase the overall processing capacity.

Another scaling strategy is ___, in which you increase the resources (e.g., CPU, memory) of individual instances of a microservice. This allows each instance to handle more load without adding more instances.

Auto-scaling is a scaling strategy that involves automatically adjusting the number of instances based on the current demand. It uses metrics such as CPU usage, request rate, or latency to determine when to scale up or ___.

Resilience is the ability of a microservices ecosystem to recover from failures and maintain service availability. One resilience strategy is ___, which involves building fault-tolerant systems that can gracefully handle and recover from failures. This includes implementing retry mechanisms, circuit breakers, and fallback options.

Another resilience strategy is ___, which ensures that a microservice remains accessible even if individual instances or components fail. This can be achieved by deploying microservices across multiple availability zones or regions and implementing ___.

Monitoring and alerting systems provide insights into the health and performance of microservices. By setting up alerts, you can proactively identify and address potential issues before they impact the overall system. ___ is an important resilience strategy in which a microservice continues providing a degraded but usable experience in situations where resource constraints or failures occur.

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