How can I scale microservices in Kubernetes effectively?
An example of an AI chatbot conversation about scaling microservices in Kubernetes.
How can I scale microservices in Kubernetes effectively?
To scale microservices in Kubernetes, you can use Horizontal Pod Autoscaler (HPA) to automatically adjust the number of pods based on CPU utilization or other select metrics.
What metrics should I monitor for effective scaling?
You should monitor CPU and memory usage, request latency, and error rates to make informed scaling decisions.
Can I set custom metrics for scaling?
Yes, you can use the Kubernetes Metrics Server or Prometheus to define and use custom metrics for scaling.
What are some best practices for scaling microservices?
Best practices include defining resource requests and limits, using readiness and liveness probes, and implementing proper load balancing.
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