Skip to content

K8S

You can run your workload locally, from remote servers, or directly on a Kubernetes cluster. However, deploying your workload on Kubernetes offers several advantages, including:

  • Easy Scaling: Kubernetes enables you to scale your workload effortlessly by adjusting the number of replicas or utilizing features like Horizontal Pod Autoscaler.

  • Resource Management: Kubernetes provides robust resource management capabilities, allowing you to efficiently allocate and manage resources such as CPU and memory for your workload. You can overwrite default values using helm-set flag.

Installation💡

To install your workload using Loadbot on a Kubernetes cluster, you can use the following command:

loadbot install \
    --context dev \
    --namespace default \
    --helm-set workload.replicas=2 \
    --workload-config config.json \
    myworkload

Uninstall💡

To uninstall your workload from the Kubernetes cluster, you can use the following command:

loadbot uninstall \
    --context dev \
    --namespace default \
    myworkload

Upgrade💡

To upgrade your workload on the Kubernetes cluster, you can use the following command:

loadbot upgrade \
    --context dev \
    --namespace default \
    --helm-set workload.replicas=2 \
    --workload-config config.json \
    myworkload

List💡

To list the workloads deployed on the Kubernetes cluster, you can use the following command:

loadbot list --context dev --namespace default