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2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/2_bug_report.yml
Original file line number Diff line number Diff line change
Expand Up @@ -52,9 +52,9 @@ body:
label: "HTTP Add-on Version"
description: "What version of the KEDA HTTP Add-on are you running?"
options:
- "0.10.0"
- "0.9.0"
- "0.8.0"
- "0.7.0"
- "Other"
validations:
required: false
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17 changes: 13 additions & 4 deletions CHANGELOG.md
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Expand Up @@ -10,6 +10,7 @@ This changelog keeps track of work items that have been completed and are ready
## History

- [Unreleased](#unreleased)
- [v0.10.0](#v0100)
- [v0.9.0](#v090)
- [v0.8.0](#v080)
- [v0.7.0](#v070)
Expand All @@ -18,17 +19,13 @@ This changelog keeps track of work items that have been completed and are ready

## Unreleased

- **General**: Fix infrastructure crashes when deleting ScaledObject while scaling

### Breaking Changes

- **General**: TODO ([#TODO](https://github.com/kedacore/http-add-on/issues/TODO))

### New

- **General**: TODO ([#TODO](https://github.com/kedacore/http-add-on/issues/TODO))
- **General**: Fix kubectl active printcolumn ([#1211](https://github.com/kedacore/http-add-on/issues/1211))
- **General**: Support InitialCooldownPeriod for HTTPScaledObject [#1213](https://github.com/kedacore/http-add-on/issues/1213)

### Improvements

Expand All @@ -46,6 +43,18 @@ This changelog keeps track of work items that have been completed and are ready

- **Documentation**: Correct the service name used in the walkthrough documentation ([#1244](https://github.com/kedacore/http-add-on/pull/1244))

## v0.10.0

### New

- **General**: Fix infrastructure crashes when deleting ScaledObject while scaling
- **General**: Fix kubectl active printcolumn ([#1211](https://github.com/kedacore/http-add-on/issues/1211))
- **General**: Support InitialCooldownPeriod for HTTPScaledObject [#1213](https://github.com/kedacore/http-add-on/issues/1213)

### Other

- **Documentation**: Correct the service name used in the walkthrough documentation ([#1244](https://github.com/kedacore/http-add-on/pull/1244))

## v0.9.0

### Breaking Changes
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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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Expand Up @@ -89,7 +89,7 @@ K9s integrates Hey, a CLI tool to benchmark HTTP endpoints similar to AB bench.
```
- You'll need to clone the repository to get access to this chart. If you have your own Deployment and Service installed, you can go right to creating an HTTPScaledObject. We use the provided sample HTTPScaledObject -
```
$ kubectl apply -n $NAMESPACE -f examples/v0.9.0/httpscaledobject.yaml
$ kubectl apply -n $NAMESPACE -f examples/v0.10.0/httpscaledobject.yaml
```
- Testing Your Installation using k9s:
```
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2 changes: 1 addition & 1 deletion RELEASE-PROCESS.md
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Expand Up @@ -25,7 +25,7 @@ Add the new released version to the list in `KEDA Version` dropdown in [2_bug_re
Update the links to current version within the file `walkthrough.md`

> ```console
> kubectl apply -n $NAMESPACE -f examples/v0.9.0/httpscaledobject.yaml
> kubectl apply -n $NAMESPACE -f examples/v0.10.0/httpscaledobject.yaml
> ```

> >If you'd like to learn more about this object, please see the [`HTTPScaledObject` reference](THE REFERENCE).
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5 changes: 3 additions & 2 deletions docs/install.md
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Expand Up @@ -75,8 +75,9 @@ helm upgrade kedahttp ./charts/keda-add-ons-http \

| HTTP Add-On version | KEDA version | Kubernetes version |
|---------------------|-------------------|--------------------|
| main | v2.16 | v1.29 - v1.31 |
| 0.9.0 | v2.14 - v2.16 | v1.29 - v1.31 |
| main | v2.16 | v1.30 - v1.32 |
| 0.10.0 | v2.16 | v1.30 - v1.32 |
| 0.9.0 | v2.16 | v1.29 - v1.31 |
| 0.8.0 | v2.14 | v1.27 - v1.29 |
| 0.7.0 | v2.13 | v1.27 - v1.29 |
| 0.6.0 | v2.12 | v1.26 - v1.28 |
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136 changes: 136 additions & 0 deletions docs/ref/v0.10.0/http_scaled_object.md
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@@ -0,0 +1,136 @@
# The `HTTPScaledObject`

>This document reflects the specification of the `HTTPScaledObject` resource for the `v0.10.0` version.

Each `HTTPScaledObject` looks approximately like the below:

```yaml
kind: HTTPScaledObject
apiVersion: http.keda.sh/v1alpha1
metadata:
name: xkcd
annotations:
httpscaledobject.keda.sh/skip-scaledobject-creation: "false"
spec:
hosts:
- myhost.com
pathPrefixes:
- /test
scaleTargetRef:
name: xkcd
kind: Deployment
apiVersion: apps/v1
service: xkcd
port: 8080
replicas:
min: 5
max: 10
scaledownPeriod: 300
scalingMetric: # requestRate and concurrency are mutually exclusive
requestRate:
granularity: 1s
targetValue: 100
window: 1m
concurrency:
targetValue: 100
```

This document is a narrated reference guide for the `HTTPScaledObject`.

## `httpscaledobject.keda.sh/skip-scaledobject-creation` annotation

This annotation will disable the ScaledObject generation and management but keeping the routing and metrics available. This is done removing the current ScaledObject if it has been already created, allowing to use user managed ScaledObjects pointing the add-on scaler directly (supporting all the ScaledObject configurations and multiple triggers). You can read more about this [here](./../../walkthrough.md#integrating-http-add-on-scaler-with-other-keda-scalers)


## `hosts`

These are the hosts to apply this scaling rule to. All incoming requests with one of these values in their `Host` header will be forwarded to the `Service` and port specified in the below `scaleTargetRef`, and that same `scaleTargetRef`'s workload will be scaled accordingly.

## `pathPrefixes`

>Default: "/"

These are the paths to apply this scaling rule to. All incoming requests with one of these values as path prefix will be forwarded to the `Service` and port specified in the below `scaleTargetRef`, and that same `scaleTargetRef`'s workload will be scaled accordingly.

## `scaleTargetRef`

This is the primary and most important part of the `spec` because it describes:

1. The incoming host to apply this scaling rule to.
2. What workload to scale.
3. The service to which to route HTTP traffic.

### `name`

This is the name of the workload to scale. It must exist in the same namespace as this `HTTPScaledObject` and shouldn't be managed by any other autoscaling system. This means that there should not be any `ScaledObject` already created for this workload. The HTTP Add-on will manage a `ScaledObject` internally.

### `kind`

This is the kind of the workload to scale.

### `apiVersion`

This is the apiVersion of the workload to scale.

### `service`

This is the name of the service to route traffic to. The add-on will create autoscaling and routing components that route to this `Service`. It must exist in the same namespace as this `HTTPScaledObject` and should route to the same `Deployment` as you entered in the `deployment` field.

### `port`

This is the port to route to on the service that you specified in the `service` field. It should be exposed on the service and should route to a valid `containerPort` on the workload you gave.

### `portName`

Alternatively, the port can be referenced using it's `name` as defined in the `Service`.

### `scaledownPeriod`

>Default: 300

The period to wait after the last reported active before scaling the resource back to 0.

> Note: This time is measured on KEDA side based on in-flight requests, so workloads with few and random traffic could have unexpected scale to 0 cases. In those case we recommend to extend this period to ensure it doesn't happen.


## `scalingMetric`

This is the second most important part of the `spec` because it describes how the workload has to scale. This section contains 2 nested sections (`requestRate` and `concurrency`) which are mutually exclusive between themselves.

### `requestRate`

This section enables scaling based on the request rate.

> **NOTE**: Requests information is stored in memory, aggragating long periods (longer than 5 minutes) or too fine granularity (less than 1 second) could produce perfomance issues or memory usage increase.

> **NOTE 2**: Although updating `window` and/or `granularity` is something doable, the process just replaces all the stored request count infomation. This can produce unexpected scaling behaviours until the window is populated again.

#### `targetValue`

>Default: 100

This is the target value for the scaling configuration.

#### `window`

>Default: "1m"

This value defines the aggregation window for the request rate calculation.

#### `granularity`

>Default: "1s"

This value defines the granualarity of the aggregated requests for the request rate calculation.

### `concurrency`

This section enables scaling based on the request concurrency.

> **NOTE**: This is the only scaling behaviour before v0.8.0

#### `targetValue`

>Default: 100

This is the target value for the scaling configuration.
4 changes: 2 additions & 2 deletions docs/walkthrough.md
Original file line number Diff line number Diff line change
Expand Up @@ -32,10 +32,10 @@ You'll need to clone the repository to get access to this chart. If you have you
You interact with the operator via a CRD called `HTTPScaledObject`. This CRD object instructs interceptors to forward requests for a given host to your app's backing `Service`. To get an example app up and running, read the notes below and then run the subsequent command from the root of this repository.

```console
kubectl apply -n $NAMESPACE -f examples/v0.9.0/httpscaledobject.yaml
kubectl apply -n $NAMESPACE -f examples/v0.10.0/httpscaledobject.yaml
```

>If you'd like to learn more about this object, please see the [`HTTPScaledObject` reference](./ref/v0.9.0/http_scaled_object.md).
>If you'd like to learn more about this object, please see the [`HTTPScaledObject` reference](./ref/v0.10.0/http_scaled_object.md).

## Testing Your Installation

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24 changes: 24 additions & 0 deletions examples/v0.10.0/httpscaledobject.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,24 @@
kind: HTTPScaledObject
apiVersion: http.keda.sh/v1alpha1
metadata:
name: xkcd
spec:
hosts:
- myhost.com
pathPrefixes:
- /test
scaleTargetRef:
name: xkcd
kind: Deployment
apiVersion: apps/v1
service: xkcd
port: 8080
replicas:
min: 1
max: 10
scaledownPeriod: 300
scalingMetric:
requestRate:
granularity: 1s
targetValue: 100
window: 1m
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