Hi, This can make Kamel language, dsl agnostic and will give more room to integrate faster. Definitely +1.
On Fri, Jul 13, 2018 at 3:54 AM Willem Jiang <willem.ji...@gmail.com> wrote: > Yeah, it's a really good idea to combine the K8S with Camel. > In my mind if we want to host a camel application on the cloud, it could > be first step that we can run the camel engine on demand in K8S. > > So I really like the project idea *making Camel integrations first-class > citizens in Kubernetes, and making them super fast and lightweight.* > > I think the Apache Openwhisk is doing the same thing here[1]. > > [1]https://github.com/apache/incubator-openwhisk-deploy-kube > > > > > Willem Jiang > > Twitter: willemjiang > Weibo: 姜宁willem > > On Fri, Jul 13, 2018 at 8:31 AM, Johan Edstrom <seij...@gmail.com> wrote: > > > Jeff Genender, I and James Carman long ago were tossing > > around the idea of Ibex, it would have been a Scala based AKKA > > eco system for putting in routes. You’d just say run in this namespace, > > conform > > to these Actor roles and we compose the tree for you. > > > > What you propose is a bit easier and more tangible to attract space > > for Camel as an engine to well, keep open source in “I can’t even write a > > main class” > > > > :) > > > > > On Jul 12, 2018, at 5:30 PM, Nicola Ferraro <ni.ferr...@gmail.com> > > wrote: > > > > > > Hi Cameleers, > > > it's now passed some time since I started thinking about a new project > > that > > > we can begin here at Apache Camel, and I'd like to have your opinion. > > > > > > We've already been targeting cloud-native applications with Camel, > > > especially on top of Kubernetes, that is becoming "the standard" cloud > > > platform. But writing a Camel integration and running it on Kubernetes > > > requires some effort: choosing the base platform (spring-boot, karaf, > > > simple main?), adding health checks (actuator?), packaging a docker > image > > > and creating the Kubernetes resources (fabric8-maven-plugin, helm?), > > > publishing the image on a docker registry, then finally deploying the > > > resources on a Kubernetes cluster. > > > > > > The resulting integration container is then far from being optimal > from a > > > resource consumption point of view: it is likely that a Camel > Spring-Boot > > > application will require at least 200MB of RAM and also some CPU shares > > > because of polling threads used by many components. > > > > > > In case people use a CI/CD pipeline, it will take also a long time to > get > > > from a code update to having a Kubernetes POD up and running. > > > Apart from compilation and image push/pull time, also startup time is > > often > > > ~10 seconds for Camel + Spring-Boot in a container with standard limits > > on > > > resources, making it difficult to propose this combination for > > "serverless > > > integration" (this term is becoming increasingly more popular). > > > > > > So, my proposal is to start to investigate a "more cloud-native" > approach > > > to integration: *making Camel integrations first-class citizens in > > > Kubernetes, and making them super fast and lightweight.* > > > > > > We can base the project on Kubernetes Custom Resource Definitions (CRD) > > > <https://kubernetes.io/docs/concepts/extend-kubernetes/ > > api-extension/custom-resources/>, > > > for example a Integration CRD and have a Kubernetes "operator" > > > <https://coreos.com/operators/> taking care of: > > > - Optimizing the integration that we want to run > > > - Packaging in a container > > > - Running it on Kubernetes > > > - Managing its entire lifecycle > > > > > > A Kubernetes-native integration may look like: > > > > > > ------------------- > > > kind: "Integration" > > > apiVersion: "camel.apache.org/v1alpha1" > > > metadata: > > > name: "example" > > > spec: > > > replicas: 1 > > > routes: > > > - id: timer > > > route: > > > - type: endpoint > > > uri: timer:tick > > > - type: endpoint > > > uri: log:info > > > ------------------- > > > > > > For those who are not familiar with Kubernetes resources, this kind of > > > YAML/JSON resource definitions are really common. > > > The example route is embedded in the Kubernetes resource declaration > and > > > follows a basic "flow DSL". We may start from a basic one and evolve it > > as > > > new requirements arrive from the community. > > > > > > I've made a very simple (but working) POC here: > > > https://github.com/nicolaferraro/integration-operator. > > > > > > This idea of a "Cloud-Native Camel" on Kubernetes (project codename can > > be " > > > *Kamel*", if you like it :D), will be an enabler for a lot of nice > > features. > > > > > > For example, we can propose "Kamel" as "ideal" platform for "serverless > > > integration" (I see many people reinventing the wheel out there): the > > > operator can reduce resource consumption of a single integration by > > > optimizing the runtime and also pause/resume integrations when they are > > not > > > used, that is the basic idea behind "serverless" (e.g. think to > > > HTTP-triggered integrations, but not only). > > > Focusing on serverless will bring more emphasis on push-based > > notifications > > > (webhooks, cloud events <https://cloudevents.io/>), that are rarely > > used in > > > Camel components, that prefer a poll based approach being it simpler to > > use > > > in classic deployments, but not so good in the cloud, where more > > resources > > > become higher direct costs for the users. > > > > > > The presence of the simplified DSL enables also experimenting on > > "*reduced* > > > subsets of Camel" implemented in languages other than Java, for example > > one > > > language that has a reactive approach on thread scheduling and a really > > low > > > memory footprint, like Go. > > > > > > But apart from this kind of experiments (that are valid IMO), the > "Kamel" > > > optimizer will have free room to choose the right platform for the > > > integration that the user wants to run, including, in the future, doing > > AOT > > > compilation using Graal/VM (less memory, faster startup) if the > features > > > (components) used in the integration are supporting it (maybe we can > add > > > AOT compilation in the roadmap for Camel 3). > > > A silly optimization: integrations starting from "timer:..." may be > > > scheduled directly with Kubernetes CronJobs, so they will consume > > resources > > > only when actually running. > > > > > > Being the final integrations lightweight and being the DSL > > > language-independent, we may see a increased adoption of Camel also as > > > agile integration layer for not-only-java applications (both "cloud" > and > > > "serverless" applications). > > > > > > I'm the first one that would like to work on a project ilke this. I've > > > worked on many Kubernetes/Openshift based applications and frameworks > in > > > the past years, also on operators and CRDs, and I think this way of > > > redesigning integrations has a lot of potential. > > > > > > Integrations will not be necessarily limited to the simplified DSL, but > > we > > > can add extension points for scripting and even custom libraries > > (although > > > limiting the freedom of the optimizer). > > > > > > The most important thing: it may become a great project, since it's > > driven > > > by a great community. > > > > > > So, what do you think? Is it crazy enough? > > > > > > Nicola > > > > >
