Merge pull request spinframework#48 from kate-goldenring/release-0.13.1

chore: bump versions for 0.13.1 release

Author: kate-goldenring

Cargo.lock

@@ -1,5 +1,5 @@
 [workspace.package]
-version = "0.13.0"
+version = "0.13.1"
 edition = "2021"
 license = "Apache-2.0"
 readme = "README.md"

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "containerd-shim-spin-v2"
-version = "0.13.0"
+version = "0.13.1"
 authors = ["SpinKube Engineering Team"]
 edition = "2021"
 repository = 'https://github.com/spinkube/containerd-shim-spin'

containerd-shim-spin/Cargo.toml

@@ -14,7 +14,7 @@ Before you begin, you need to have the following installed:
 Start a k3d cluster with the wasm shims already installed:
 
 ```bash
-k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.0 -p "8081:80@loadbalancer" --agents 2 --registry-create mycluster-registry:12345
+k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.1 -p "8081:80@loadbalancer" --agents 2 --registry-create mycluster-registry:12345
 ```
 
 Apply RuntimeClass for spin applications to use the spin wasm shim:

containerd-shim-spin/quickstart.md

@@ -17,7 +17,7 @@ $ tree .
 ## How to run the example
 The shell script below will create a k3d cluster locally with the Spin shim installed and containerd configured. The script then applies the runtime classes for the shim and an example service and deployment. Finally, we curl the `/hello` and receive a response from the example workload.
 ```shell
-k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.0 -p "8081:80@loadbalancer" --agents 2
+k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.1 -p "8081:80@loadbalancer" --agents 2
 kubectl apply -f https://github.com/spinkube/containerd-shim-spin/raw/main/deployments/workloads/runtime.yaml
 kubectl apply -f https://github.com/spinkube/containerd-shim-spin/raw/main/deployments/workloads/workload.yaml
 echo "waiting 5 seconds for workload to be ready"

deployments/k3d/README.md

@@ -15,7 +15,7 @@ spec:
       runtimeClassName: wasmtime-spin
       containers:
         - name: spin-hello
-          image: ghcr.io/spinkube/containerd-shim-spin/examples/spin-rust-hello:v0.13.0
+          image: ghcr.io/spinkube/containerd-shim-spin/examples/spin-rust-hello:v0.13.1
           command: ["/"]
           resources: # limit the resources to 128Mi of memory and 100m of CPU
             limits:

deployments/workloads/workload.yaml

@@ -18,7 +18,7 @@ sudo mv ./spin /usr/local/bin/
 ### Run example with K3d:
 ```sh
 # start the K3d cluster
-k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.0 -p "8081:80@loadbalancer"
+k3d cluster create wasm-cluster --image ghcr.io/spinkube/containerd-shim-spin/k3d:v0.13.1 -p "8081:80@loadbalancer"
 # Install Dapr
 dapr init -k --wait
 # or via helm

images/spin-dapr/README.md

@@ -1,6 +1,6 @@
 [package]
 name = "spin-inbound-redis"
-version = "0.13.0"
+version = "0.13.1"
 authors = ["Suneet Nangia <[email protected]>"]
 edition = "2021"
 

images/spin-inbound-redis/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "spin-keyvalue"
-version = "0.13.0"
+version = "0.13.1"
 authors = ["SpinKube Engineering Team"]
 edition = "2021"
 

images/spin-keyvalue/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "spin-outbound-redis"
-version = "0.13.0"
+version = "0.13.1"
 authors = ["SpinKube Engineering Team"]
 edition = "2021"
 

images/spin-outbound-redis/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "spin-rust-hello"
-version = "0.13.0"
+version = "0.13.1"
 authors = ["SpinKube Engineering Team"]
 edition = "2021"