14 posts tagged with "CNCF"

Every Kubernetes operator answers the same question whenever a child resource changes: "which parent should I reconcile?" The usual answer is controller-runtime's .Owns() helper, which registers an Informer per child type, caches them, and reads the OwnerReference on each child to find its parent. That's fine when you know your child types up front. It stops being fine when your operator is a platform engine and users keep inventing new resource types.

KubeVela takes a different route. The Application controller doesn't watch Pods, Deployments, or Services at all. It watches three KubeVela CRDs and keeps a separate record — the ResourceTracker — that lists everything an Application is supposed to have created. This post covers why the design exists, how self-healing works without event-driven watches on children, what you can tune, and how the approach compares to plain client-go and controller-runtime.

As we close out 2025, we want to take a moment to reflect on what has been a transformative year for KubeVela. From major releases to community growth, from enterprise adoption to exciting new features on the horizon—this year has reinforced our belief that making application delivery enjoyable is not just a tagline, but a mission worth pursuing.

Hello community! 👋

This is the first blog post in a while but we are excited to reinvigorate the community and keep developers and users up to date with all things KubeVela. The team is committed to providing regular updates, news and information about upcoming events and features.

We recently released the latest v1.10.4 which includes a host of useful features to improve the maintainability of Applications deployed with Kubevela. This blog will provide a quick overview of the features and how you can get started with utilising them in your KubeVela setup.

While v1.10.4 follows semantic versioning as a patch release, we're excited to deliver several new opt-in features alongside the usual bug fixes and improvements.

These features are disabled by default (where applicable) to maintain backward compatibility, allowing users to adopt them at their own pace.

Hello, I am Junyu Liu (GitHub: iyear), currently a sophomore majoring in software engineering. In this blog post, I will share my experiences as a Linux Foundation Mentorship mentee: from applying for the project to becoming part of the community.

In the spring of 2023, I was accepted as a CNCF student under the KubeVela project through LFX Mentorship. In this project, I am responsible for developing a CUE code and documentation generator based on Golang from scratch, laying the foundation for the infrastructure part of KubeVela's future extensibility.

ChatGPT is taking the tech industry by storm, thanks to its unparalleled natural language processing capabilities. As a powerful AI language model, it has the ability to understand and generate human-like responses, revolutionizing communication in various industries. From streamlining customer service chatbots to enabling seamless language translation tools, ChatGPT has already proved its mettle in creating innovative solutions that improve efficiency and user experience.

Now the question is, can we leverage ChatGPT to transform the way we deliver applications? With the integration of ChatGPT into DevOps workflows, we are witnessing the possible emergence of a new era of automation called PromptOps. This advancement in AIOps technology is revolutionizing the way businesses operate, allowing for faster and more efficient application delivery.

In this article, we will explore how to integrate ChatGPT into your DevOps workflow to deliver applications.

The KubeVela 1.7 version has been officially released for some time, during which KubeVela has been officially promoted to a CNCF incubation project, marking a new milestone. KubeVela 1.7 itself is also a turning point because KubeVela has been focusing on the design of an extensible system from the beginning, and the demand for the core functionality of controllers has gradually converged, freeing up more resources to focus on user experience, ease of use, and performance. In this article, we will focus on highlighting the prominent features of version 1.7, such as workload takeover and performance optimization.

Originally post in CNCF.

The CNCF Technical Oversight Committee (TOC) has voted to accept KubeVela as a CNCF incubating project.

KubeVela is an application delivery engine built with the Kubernetes control plane that makes deploying and operating applications across hybrid and multi-cloud environments easier, faster, and more reliable. KubeVela can orchestrate, deploy, and operate application components and cloud resources with a workflow-based application delivery model. The application delivery abstraction of KubeVela is powered by the Open Application Model (OAM).

Since Open Application Model invented in 2020, KubeVela has experienced tens of version changes and evolves advanced features towards modern application delivery. Recently, KubeVela has proposed to become a CNCF incubation project and delivered several public talks in the community. As a memorandum, this article will look back into the starting points and give a comprehensive introduction to the state of KubeVela in 2022.

KubeVela is a modern software platform that makes delivering and operating applications across today's hybrid, multi-cloud environments easier, faster and more reliable. It has three main features:

• Infrastructure agnotic: KubeVela is able to deploy your cloud-native application into various destinations, such as Kubernetes multi-clusters, cloud provider runtimes (like Alibaba Cloud, AWS or Azure) and edge devices.
• Programmable: KubeVela has abstraction layers for modeling applications and delivery process. The abstraction layers allow users to use programmable ways to build higher level reusable modules for application delivery and integrate arbitrary third-party projects (like FluxCD, Crossplane, Istio, Prometheus) in the KubeVela system.
• Application-centric: There are rich tools and eco-systems designed around the KubeVela applications, which add extra capabilities for deliverying and operating the applications, including CLI, UI, GitOps, Observability, etc.

KubeVela cares the whole lifecycle of the applications, including both the Day-1 Delivery and the Day-2 Operating stages. It is able to connect with a wide range of Continuous Integration tools, like Jenkins or GitLab CI, and help users deliver and operate applications across hybrid environments.

Application Delivery on Kubernetes​

The cloud-native landscape is formed by a fast-growing ecosystem of tools with the aim of improving the development of modern applications in a cloud environment. Kubernetes has become the de facto standard to deploy enterprise workloads by improving development speed, and accommodating the needs of a dynamic environment.

Kubernetes offers a comprehensive set of entities that enables any potential application to be deployed into it, independent of its complexity. This however has a significant impact from the point of view of its adoption. Kubernetes is becoming as complex as it is powerful, and that translates into a steep learning curve for newcomers into the ecosystem. Thus, this has generated a new trend focused on providing developers with tools that improve their day-to-day activities without losing the underlying capabilities of the underlying system.

The community has released the new milestone release v1.6 of KubeVela during the 2022 Apsara Conference. This release is a qualitative change in KubeVela from application delivery to application management. It also creates a precedent in the industry to build an application platform with delivery and management integrated based on a extensible model.