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commit dcdc847c8af6952f600f7d3c30277731732c7527
Author: nicolaferraro <ni.ferr...@gmail.com>
AuthorDate: Fri Jan 21 15:48:02 2022 +0100

    Blogpost about Keda
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+---
+title: "Camel meets KEDA"
+date: 2022-01-21
+authors: [nicolaferraro]
+categories: ["Camel K"]
+preview: "Camel K integrations can leverage KEDA to scale based on the number 
of incoming events"
+---
+
+[KEDA](https://keda.sh) (Kubernetes Event Driven Autoscalers) is a fantastic 
project (currently [CNCF](https://cncf.io) incubating) that provides 
Kubernetes-based autoscalers to help applications to scale out according to the 
number of incoming events when they are listening to several kinds of event 
sources. In Camel K we've long supported [Knative](https://knative.dev) for 
providing a similar functionality for integrations that are triggered by HTTP 
calls, so supporting KEDA was someth [...]
+
+## Why KEDA and Camel K?
+
+Users may want to set up integrations that automatically scale, e.g. depending 
on the **number of messages left in a Kafka topic** (for their consumer group). 
The integration code may do e.g. transformations, aggregations and send data do 
a destination and it would be great if the number of instances deployed to a 
Kubernetes cluster could increase when there's work left behind, or they can 
**scale to zero** when there's no more data in the topic.
+This is what KEDA does by itself with scalers (Kafka is [one of the many 
scalers available in KEDA](https://keda.sh/docs/2.5/scalers/)). What you have 
now is that KEDA is now automatically configured by Camel K when you run 
integrations, so you get the autoscaling features out of the box (you just need 
to turn a flag on).
+
+## How does it work?
+
+In Camel K 1.8.0 a new [KEDA trait](/camel-k/next/traits/keda.html) has been 
introduced. 
+The trait allows to manually tweak the KEDA configuration to make sure that 
some *ScaledObjects* (KEDA concept) are generated as part of the *Integration* 
reconciliation, but this is mostly an internal detail. The interesting part 
about the KEDA trait is that it can recognize special KEDA markers in Kamelets 
and automatically create a KEDA valid configuration when those Kamelets are 
used as sources. So users can just use Kamelets to create bindings as usual 
and, if they **enable a KEDA f [...]
+
+The Kamelet catalog embedded in next release 
([v0.7.0](https://github.com/apache/camel-kamelets/tree/v0.7.0)) contains two 
Kamelets enhanced with KEDA metadata: `aws-sqs-source` and `kafka-source`. 
These are just two examples of the many Kamelets that can be augmented in the 
future. The metadata configuration system is open and Kamelets can be marked at 
any time to work with KEDA: this means that you don't need to wait for a new 
Camel K release to enable KEDA on a different source and, m [...]
+
+The Kamelet developer guide contains a new section on [how to mark a Kamelet 
with KEDA 
metadata](/camel-k/next/kamelets/kamelets-dev.html#_keda_integration), but 
essentially markers are used to map Kamelet properties into KEDA configuration 
options, so that when you provide a Kamelet configuration, the corresponding 
KEDA options can be generated from it (all the work is done under the cover by 
the Camel K operator).
+
+## A binding example
+
+Before looking at the demo, here's an example of **autoscaling binding** that 
you can create with the latest Camel K:
+
+```yaml
+apiVersion: camel.apache.org/v1alpha1
+kind: KameletBinding
+metadata:
+  name: kafka-to-sink
+  annotations:
+    trait.camel.apache.org/keda.enabled: "true"
+spec:
+  source:
+    ref:
+      apiVersion: camel.apache.org/v1alpha1
+      kind: Kamelet
+      name: kafka-source
+    properties:
+      bootstrapServers: "<-- bootstrap servers -->"
+      consumerGroup: my-group
+      topic: "<-- the topic -->"
+      user: "<-- user -->"
+      password: "<-- pwd -->"
+  sink:
+    # ...
+```
+
+You can notice that the only difference from a standard binding is the 
presence of the `trait.camel.apache.org/keda.enabled=true` annotation that 
enables the 
+KEDA trait in Camel K. The information about how to map Kamelet properties 
into KEDA options is encoded in the Kamelet definition.
+
+## Demo
+
+Time for the demonstration. You'll see both the `aws-sqs-source` and the 
`kafka-source` in action with Camel K and KEDA.
+
+The code for the demo is in the 
[nicolaferraro/camel-k-keda-demo](https://github.com/nicolaferraro/camel-k-keda-demo)
 repository on GitHub.
+
+You can watch the [demo on 
YouTube!](https://www.youtube.com/watch?v=z67ES6VAYV4)
+
+## Next steps
+
+There are many other Kamelets to enhance in 
[apache/camel-kamelets](https://github.com/apache/camel-kamelets) and things to 
improve in Camel K that are listed in the 
[area/KEDA](https://github.com/apache/camel-k/issues?q=is%3Aopen+is%3Aissue+label%3Aarea%2FKEDA)
 section of the issue tracker.
+
+Contributions are always welcome!

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