Update docs for 0.11 release (#284)

Signed-off-by: Sivanantham Chinnaiyan <sivanantham.chinnaiyan@ideas2it.com>

docs/admin/kubernetes_deployment.md

@@ -5,11 +5,11 @@ Kubernetes 1.22 is the minimally required version and please check the following
 Kubernetes version.
 
 ## Recommended Version Matrix
-| Kubernetes Version | Recommended Istio Version   |
-| :---------- | :------------ |
-| 1.25       | 1.15, 1.16   |
-| 1.26       | 1.17  |
-| 1.27       | 1.17, 1.18  |
+| Kubernetes Version | Recommended Istio Version |
+|:-------------------|:--------------------------|
+| 1.25               | 1.15, 1.16                |
+| 1.26               | 1.17                      |
+| 1.27               | 1.17, 1.18                |
 
 ## 1. Install Istio 
 
@@ -46,14 +46,14 @@ The minimally required Cert Manager version is 1.9.0 and you can refer to [Cert
 
 === "kubectl"
     ```bash
-    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.10.0/kserve.yaml
+    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.11.0/kserve.yaml
     ```
 
 Install KServe default serving runtimes:
 
 === "kubectl"
     ```bash
-    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.10.0/kserve-runtimes.yaml
+    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.11.0/kserve-runtimes.yaml
     ```
 
 **ii. Change default deployment mode and ingress option**

docs/admin/modelmesh.md

@@ -4,10 +4,10 @@ KServe ModelMesh installation enables high-scale, high-density and frequently-ch
 A Kubernetes cluster is required. You will need cluster-admin authority. Additionally, [kustomize](https://kubectl.docs.kubernetes.io/installation/kustomize/) and an [etcd](https://etcd.io/) server on the Kubernetes cluster are required.
 
 ## 1. Standard Installation
-You can find the standard installation instructions in the ModelMesh Serving [installation guide](https://github.com/kserve/modelmesh-serving/blob/release-0.10/docs/install/install-script.md). This approach assumes you have installed the prerequisites such as etcd and S3-compatible object storage.
+You can find the standard installation instructions in the ModelMesh Serving [installation guide](https://github.com/kserve/modelmesh-serving/blob/release-0.11/docs/install/install-script.md). This approach assumes you have installed the prerequisites such as etcd and S3-compatible object storage.
 
 ## 2. Quick Installation
-A quick installation allows you to quickly get ModelMesh Serving up and running without having to manually install the prerequisites. The steps are described in the ModelMesh Serving [quick start guide](https://github.com/kserve/modelmesh-serving/blob/release-0.10/docs/quickstart.md).
+A quick installation allows you to quickly get ModelMesh Serving up and running without having to manually install the prerequisites. The steps are described in the ModelMesh Serving [quick start guide](https://github.com/kserve/modelmesh-serving/blob/release-0.11/docs/quickstart.md).
 
 !!! note
-    ModelMesh Serving is namespace scoped, meaning all of its components must exist within a single namespace and only one instance of ModelMesh Serving can be installed per namespace. For more details, you can check out the ModelMesh Serving [getting started guide](https://github.com/kserve/modelmesh-serving/blob/release-0.10/docs/install/README.md).
+    ModelMesh Serving is namespace scoped, meaning all of its components must exist within a single namespace and only one instance of ModelMesh Serving can be installed per namespace. For more details, you can check out the ModelMesh Serving [getting started guide](https://github.com/kserve/modelmesh-serving/blob/release-0.11/docs/install/README.md).

docs/admin/serverless/serverless.md

@@ -6,11 +6,11 @@ Kubernetes 1.22 is the minimally required version and please check the following
 Kubernetes version.
 
 ## Recommended Version Matrix
-| Kubernetes Version | Recommended Istio Version   | Recommended Knative Version  |
-| :---------- | :------------ | :------------|
-| 1.25       | 1.15, 1.16   | 1.4-1.9  |
-| 1.26       | 1.17  | 1.7-1.11  |
-| 1.27       | 1.17,1.18  | 1.9-1.11  |
+| Kubernetes Version | Recommended Istio Version | Recommended Knative Version |
+|:-------------------|:--------------------------|:----------------------------|
+| 1.25               | 1.15, 1.16                | 1.4-1.9                     |
+| 1.26               | 1.17                      | 1.7-1.11                    |
+| 1.27               | 1.17,1.18                 | 1.9-1.11                    |
 
 ## 1. Install Knative Serving
 Please refer to [Knative Serving install guide](https://knative.dev/docs/admin/install/serving/install-serving-with-yaml/).
@@ -35,14 +35,14 @@ The minimally required Cert Manager version is 1.9.0 and you can refer to [Cert
 ## 4. Install KServe
 === "kubectl"
     ```bash
-    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.10.0/kserve.yaml
+    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.11.0/kserve.yaml
     ```
 
 ## 5. Install KServe Built-in ClusterServingRuntimes
 
 === "kubectl"
     ```bash
-    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.10.0/kserve-runtimes.yaml
+    kubectl apply -f https://github.com/kserve/kserve/releases/download/v0.11.0/kserve-runtimes.yaml
     ```
 
 !!! note

docs/developer/developer.md

@@ -15,14 +15,14 @@ Before submitting a PR, see also [CONTRIBUTING.md](https://github.com/kserve/kse
 
 You must install these tools:
 
-1. [`go`](https://golang.org/doc/install): KServe controller is written in Go and requires Go 1.18.0+.
+1. [`go`](https://golang.org/doc/install): KServe controller is written in Go and requires Go 1.20.0+.
 1. [`git`](https://help.github.com/articles/set-up-git/): For source control.
 1. [`Go Module`](https://blog.golang.org/using-go-modules): Go's new dependency management system.
 1. [`ko`](https://github.com/google/ko):
    For development.
 1. [`kubectl`](https://kubernetes.io/docs/tasks/tools/install-kubectl/): For
    managing development environments.
-1. [`kustomize`](https://github.com/kubernetes-sigs/kustomize/) To customize YAMLs for different environments, requires v3.5.4+.
+1. [`kustomize`](https://github.com/kubernetes-sigs/kustomize/) To customize YAMLs for different environments, requires v5.0.0+.
 1. [`yq`](https://github.com/mikefarah/yq) yq is used in the project makefiles to parse and display YAML output, requires yq `4.*`.
 
 ### Install Knative on a Kubernetes cluster
@@ -33,9 +33,9 @@ KServe currently requires `Knative Serving` for auto-scaling, canary rollout, `I
 use the [Knative Operators](https://knative.dev/docs/install/operator/knative-with-operators/) to manage your installation. Observability, tracing and logging are optional but are often very valuable tools for troubleshooting difficult issues,
 they can be installed via the [directions here](https://github.com/knative/docs/blob/release-0.15/docs/serving/installing-logging-metrics-traces.md).
 
-* If you start from scratch, KServe requires Kubernetes 1.17+, Knative 0.19+, Istio 1.9+.
+* If you start from scratch, KServe requires Kubernetes 1.25+, Knative 1.7+, Istio 1.15+.
 
-* If you already have `Istio` or `Knative` (e.g. from a Kubeflow install) then you don't need to install them explictly, as long as version dependencies are satisfied.
+* If you already have `Istio` or `Knative` (e.g. from a Kubeflow install) then you don't need to install them explicitly, as long as version dependencies are satisfied.
 
 > **_NOTE:_**  Note: On a local environment, when using `minikube` or `kind` as Kubernetes cluster, there has been a reported issue that [knative quickstart](https://knative.dev/docs/install/quickstart-install/) bootstrap does not work as expected. It is recommended to follow the installation manual from knative using [yaml](https://knative.dev/docs/install/yaml-install/) or using [knative operator](https://knative.dev/docs/install/operator/knative-with-operators/) for a better result.
 

docs/modelserving/inference_graph/README.md

@@ -43,7 +43,7 @@ If you want to propagate a certain header, say "Custom-Header", then you can edi
 config-map like this :
 ```json
 {
-    "image" : "kserve/router:v0.10.0",
+    "image" : "kserve/router:v0.11.0",
     "memoryRequest": "100Mi",
     "memoryLimit": "1Gi",
     "cpuRequest": "100m",

docs/modelserving/v1beta1/custom/custom_model/README.md

@@ -454,7 +454,7 @@ if __name__ == "__main__":
 ```
 The more details for ray fractional cpu and gpu can be found [here](https://docs.ray.io/en/latest/serve/scaling-and-resource-allocation.html#fractional-cpus-and-fractional-gpus).
 
-The full code example can be found [here](https://github.com/kserve/kserve/blob/release-0.10/python/custom_model/model_remote.py).
+The full code example can be found [here](https://github.com/kserve/kserve/blob/release-0.11/python/custom_model/model_remote.py).
 
 Modify the `Procfile` to `web: python -m model_remote` and then run the above `pack` command, it builds the serving image which launches
 each model as separate python worker and web server routes to the model workers by name.