With Camel K version 2.9 we have enhanced the GitOps capability of the operator to run a builtin opinionated GitOps strategy. In this blog we are going to expand with a complete example and show how to enabled with a sample Camel application we build on an environment and we promote to another environment controlled with a gateway. The process will be the following: a development team (the “citizen integrator”?) is in charge to develop and test a given Camel application on a development environment.
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HOWTOSCAMEL K
In the last 2.2.0 version release, Camel K added an interesting feature that gave the users the possibility to build their Camel application externally and run via the operator with certain limitations. In this blog we’re trying to analyze those limitations and provide some example that will show you how to possibly leverage this feature. What is a “sourceless” Integration? With a great effort of creativity (sarcasm), we have named this feature as “sourceless” Integration.
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CAMEL KHOWTOS
This blog announce the availability of Camel K Runtime version 3.2.0 which will gives you the possibility to run Camel 4 workloads on Kubernetes with Camel K. Release details Apache Camel K Runtime 3.2.0 Apache Camel Quarkus 3.2.0 Apache Camel 4.0.0 How to run Camel 4 with Camel K If you are on Camel K 2.0, this is quite straightforward. If you recall, one of the major feature of version 2 is the ability to run any Camel K runtime.
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RELEASESCAMEL KROADMAP
We already explained how to take monitor your Integrations in the previous blog post about monitoring operations on Camel K. The good news is there are only a few changes with the move to Micrometer Metrics. From Microprofile to Micrometer Camel K 2.0 was the occasion to move from one technology (Microprofile) to another (Micrometer) for the Prometheus trait configuration implementation. The reason is the deprecation notice from Quarkus Microprile’s implementation in favor of using Micrometer Metrics.
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CAMEL KHOWTOS
In this blog post we’ll be talking about GitOps and we’ll provide some approach that we hope can help you understand better how you can do such kind of operations togheter with Camel K. As we’re talking about processes, all the discussion we’re going to provide can be different in each company, environment and according the set of tools you’re using. The idea of the blog is to show the possibilities offered by Camel K in order to help you understand better how you can adapt your own tools and process to Camel K deployment model.
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HOWTOSCAMEL K
One of the main effort we’re putting in Camel K version 2 is to have a enterprise grade building system. Not that Camel K version 1 has not this capability, but some of the key features are not very explicit. So I thought that, while waiting for Camel K version 2 release, where we’re making all this configuration explicit, I can share some tip on how to improve the capacity to build and have a production enterprise ready environment also in Camel K 1.
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HOWTOSCAMEL K
Tracing is an important approach for controlling and monitoring the experience of users, it allows us to gather more information about an integration’s performance. Camel K has been providing support for distributed tracing using OpenTracing since long time. At the beginning of 2022, the CNCF announced that they were archiving the OpenTracing project in favor of the OpenTelemetry project. OpenTelemetry is the latest solution created by merging OpenTracing and OpenCensus. As a result, we decided in Camel K 1.
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CAMEL KHOWTOS
This post describes the steps to test a Camel K integration with YAKS both locally and on the Kubernetes platform. What is YAKS? YAKS is an Open Source test automation platform that leverages Behavior Driven Development concepts for running tests locally and on Cloud infrastructure (e.g. Kubernetes or OpenShift). This means that the testing tool is able to run your tests both as local tests and natively on Kubernetes. The framework is specifically designed to verify Serverless and Microservice applications and aims for integration testing with the application under test up and running in a production-like environment.
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HOWTOSCAMEL K
Testing is probably one of those operations we use to repeat most of the time while building any application. Applications in Camel world are no difference. With the advent of Camel JBang, we have a unified place that can be used to perform our testing/fine tuning locally before moving to a higher environment. During the last years of development, we have noticed that testing or fine tuning an integration directly connected to a Cloud Native environment can result a bit cumbersome.
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HOWTOSCAMEL KTOOLING
In Camel K version 10, we’ve released the CLI `promote feature that provides Camel K an opinionated way of promoting an Integration through the stages of software development. This feature unlock the possibility to combine Camel K with external tooling and let the user develop according to any automated release process. We always ear about CI/CD (Continuous Integration/Continuous Delivery and/or Deployment), and in this blog we’re going to see how to make it for any Camel K integration.
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HOWTOSCAMEL K
Camel K offers a wide list of operations you can execute once your Integration has been deployed (likely in a production environment). When we talk about operations, the most typical question we got is “How to monitor a Camel K Integration?”. Fortunately, we have all the ingredients needed to let you manage this operation as smooth as possible. I’ll walk you through the different tools and configuration needed in this blog post.
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CAMEL K
The Integration is the resource which represents the actual Camel application and building a container image that packages the integration within an elevated cloud platform (be it locally in a Minikube or K8s hosted cluster to Openshift clusters) takes ample amount of time. Enhancing the Camel-K Integration build time Our goal was to reduce overhead and improve user experience. We were able to narrow down the major contributors that had a significant influence on the integration build time.
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CAMEL K
NOTE: this post has first appeared in the author’s blog. KEDA (Kubernetes Event Driven Autoscalers) is a fantastic project (currently CNCF 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 for providing a similar functionality for integrations that are triggered by HTTP calls, so supporting KEDA was something planned since long time, because it enables full autoscaling from a wider collection of sources.
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CAMEL K
New Camel K Logging Features for Camel K 1.5
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CAMEL K