Cut v0.13.0 release (#85)

jthomperoo · Jan 16, 2023 · 8a5c2c1 · 8a5c2c1
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -5,6 +5,8 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 Versioning](https://semver.org/spec/v2.0.0.html).
 
 ## [Unreleased]
+
+## [v0.13.0] - 2023-01-16
 ### Added
 - New ability to choose a start interval for a model, e.g. a holt winters model that only starts at the next full hour.
   - `startInterval` is an optional [duration](https://pkg.go.dev/time#ParseDuration) that defines the next interval to
@@ -161,7 +163,9 @@ Holt-Winters configuration.
 - Added the ability to use Linear Regression models to predict future scaling.
 
 [Unreleased]:
-https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/compare/v0.12.0...HEAD
+https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/compare/v0.13.0...HEAD
+[v0.13.0]:
+https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/compare/v0.12.0...v0.13.0
 [v0.12.0]:
 https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/compare/v0.11.2...v0.12.0
 [v0.11.2]:

diff --git a/README.md b/README.md
@@ -90,7 +90,7 @@ This PHPA acts like a Horizontal Pod Autoscaler and autoscales to try and keep t
 The operator for managing Predictive Horizontal Pod Autoscalers can be installed using Helm:
 
 ```bash
-VERSION=v0.12.0
+VERSION=v0.13.0
 HELM_CHART=predictive-horizontal-pod-autoscaler-operator
 helm install ${HELM_CHART} https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/releases/download/${VERSION}/predictive-horizontal-pod-autoscaler-${VERSION}.tgz
 ```

diff --git a/docs/user-guide/getting-started.md b/docs/user-guide/getting-started.md
@@ -31,13 +31,13 @@ k3d cluster create phpa-test-cluster
 
 Installing PHPAs requires you to have installed the PHPA operator first onto your cluster.
 
-In this guide we are using `v0.12.0` of the PHPA operator, but check out the [installation
+In this guide we are using `v0.13.0` of the PHPA operator, but check out the [installation
 guide](./installation.md) for more up to date instructions for later releases.
 
 Run the following commands to install the PHPA operator:
 
 ```bash
-VERSION=v0.12.0
+VERSION=v0.13.0
 HELM_CHART=predictive-horizontal-pod-autoscaler-operator
 helm install ${HELM_CHART} https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/releases/download/${VERSION}/predictive-horizontal-pod-autoscaler-${VERSION}.tgz
 ```

diff --git a/docs/user-guide/installation.md b/docs/user-guide/installation.md
@@ -7,7 +7,7 @@ The PHPA operator can be installed using Helm, run this command to install the o
 cluster-wide scope:
 
 ```bash
-VERSION=v0.12.0
+VERSION=v0.13.0
 HELM_CHART=predictive-horizontal-pod-autoscaler-operator
 helm install ${HELM_CHART} https://github.com/jthomperoo/predictive-horizontal-pod-autoscaler/releases/download/${VERSION}/predictive-horizontal-pod-autoscaler-${VERSION}.tgz
 ```

diff --git a/docs/user-guide/models.md b/docs/user-guide/models.md
@@ -15,7 +15,7 @@ is skipped. Defaults set based on the algorithm used, see below.
 For example a value of `1m` would mean the model would only start to apply at the top of the next minute. This is
 useful if you have seasonal data that you need the model synced to, such as Holt-Winters, which allows you to do things
 like making sure the model defines the start of a Holt-Winters season as starting at midnight (with the season being)
-the whole day.
+and lasting the whole day.
 - **resetDuration** - The [duration](https://pkg.go.dev/time#ParseDuration) that the model can go for without recording
 any data before the data is too old and is cleared out. A new start time will be calculated from the `startInterval`
 if it's provided at this point too.