How does performance tuning differ between cloud and on-premise environments?
Performance tuning in cloud environments often involves auto-scaling and resource allocation, while on-premise tuning focuses on hardware optimization.
What are the key factors to consider for performance tuning in the cloud?
Key factors include resource provisioning, network latency, and the use of cloud-native tools for monitoring and optimization.
Can you give examples of tools used for performance tuning in both environments?
In the cloud, tools like AWS CloudWatch and Azure Monitor are popular, while on-premise environments might use tools like Nagios or Grafana.
Which environment is generally more cost-effective for performance tuning?
Cloud environments can be more cost-effective due to pay-as-you-go models, but on-premise can be cheaper for stable, predictable workloads.
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