Kubow is an architecture-based self-adaptation service for Kubernetes applications.

Kubow was implemented as a Docker and Kubernetes customization of the Rainbow self-adaptive framework, originally developed at Carnegie Mellon University's ABLE research group.

As with Rainbow, Kubow's primary features are:

• separates out the concern of self-adaptation from the managed system;
• uses software archiecture models as the basis for reasoning about the state of the system and applicable adaptations;
• uses utility-based decision making to determine the best adaptation among a set of potentially applicable adaptations;

To watch a simple example of Kubow in action, check out this video.

Getting started

To get started with Kubow, you first need to install some auxiliary tools (e.g., metrics-server, custom-metrics-api, prometheus, kube-state-metrics) in your Kubernetes cluster. Those tools' deployment files can be found in the tools folder.

After that, you can go to the samples folder and choose one the available sample applications to be deployed and managed by Kubow. Each application has its own subfolder containing its required deployment files.

Publications

ADERALDO, C. M., MENDONÇA, N. C., SCHMERL, B., GARLAN, D. "Kubow: An Architecture-Based Self-Adaptation Service for Cloud Native Applications." In: 13th European Conference on Software Architecture (ECSA), Tools, Demos and Posters Track, 2019, Paris, France. [DOI] [PDF] Recipient of the Best Demo Award!

ADERALDO, C. M., MENDONÇA, N. C. "Kubow: Um Serviço de Autoadaptação Baseada em Arquitetura para Aplicações Nativas da Nuvem." In: Sessão de Ferramentas do X Congresso Brasileiro de Software: Teoria e Prática (CBSoft), 2019, Salvador, BA. [PDF]