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Use tags to organize and identify your resources. Tags can be used for cost allocation, what is 1440p called resource management, and automation. Tagging is an important practice for **VPC Endpoint Service with Terraform**.
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* **Performance Improvements**: Based on the feedback, the team has worked on performance improvements to ensure the system runs seamlessly.
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Once your application is deployed, **_monitoring and scaling become super important_**. It's not enough to just deploy; you need to make sure your application is healthy, performing well, and can handle increasing loads. Monitoring involves keeping an eye on your application's performance metrics, such as CPU usage, memory usage, and request latency. Kubernetes provides several built-in tools for monitoring, and there are many third-party tools that can integrate with Kubernetes. You can use `kubectl` to view basic metrics. For example, `kubectl top pods` and `kubectl top nodes` provide real-time resource usage information. More advanced monitoring solutions, such as Prometheus and Grafana, allow you to collect, store, and visualize metrics from your application. Prometheus can scrape metrics from your application, and Grafana allows you to build dashboards to visualize those metrics. Scaling your application involves adjusting the number of pods running to match the current load. Kubernetes makes this easy with **_Horizontal Pod Autoscaling (HPA)_**. HPA automatically scales the number of pods in a deployment based on observed CPU utilization, memory usage, or custom metrics. You can create an HPA resource using a YAML file. For example:
