> For the complete documentation index, see [llms.txt](https://docs.cloudeka.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling.md).

# KEDA Autoscalling

- [Pendahuluan](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/introduction.md)
- [Menginstal KEDA](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/install-keda.md): Untuk menginstal KEDA, buat namespace dan VPC terlebih dahulu dengan menjalankan perintah berikut.
- [Menambahkan Repositori Helm](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/add-the-helm-repository.md)
- [Membuat values.yaml dari Repositori Helm](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/create-values.yaml-from-helm-repository.md)
- [Lihat Contoh: Penskalaan Otomatis vLLM dengan KEDA berdasarkan Penggunaan Cache KV GPU](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/example-autoscaling-vllm-with-keda-based-on-gpu-kv-cache-usage.md)
- [Pendahuluan](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/example-autoscaling-vllm-with-keda-based-on-gpu-kv-cache-usage/introduction.md)
- [Metric: GPU KV Cache Usage](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/example-autoscaling-vllm-with-keda-based-on-gpu-kv-cache-usage/metric-gpu-kv-cache-usage.md)
- [Contoh Konfigurasi KEDA](https://docs.cloudeka.ai/deka-gpu-documentations/panduan-untuk-enterprise/deka-gpu/deka-gpu-autoscaling/keda-autoscalling/example-autoscaling-vllm-with-keda-based-on-gpu-kv-cache-usage/keda-configuration-example.md)