Description: KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
View kedacore/keda on GitHub ↗
The KEDA (Kubernetes Event-Driven Autoscaling) repository on GitHub is a project focused on providing advanced autoscaling capabilities for Kubernetes applications. The core objective of KEDA is to enable horizontal pod autoscaling based on event-driven metrics, allowing developers and operators to efficiently scale workloads in response to the demands they experience.
KEDA extends Kubernetes' native Horizontal Pod Autoscaler (HPA) by introducing EventSource resources that allow you to configure scaling policies for different types of event sources such as message queues, databases, or custom metrics. This versatility supports a wide array of use cases and makes KEDA suitable for both stateful and stateless applications running in cloud-native environments.
The repository contains comprehensive documentation, including getting started guides, installation instructions, configuration examples, and architectural overviews. The architecture is designed to be extensible with support for custom event sources through provider-specific scaling configurations. This adaptability ensures that KEDA can cater to the evolving needs of applications and infrastructure systems.
The project actively encourages community contributions and collaboration. It features issues and pull requests where users can propose new features, report bugs, or improve existing functionalities. The maintainers are committed to fostering an open-source environment where participants feel welcome to contribute code, documentation, or feedback.
KEDA's integration with Kubernetes is seamless, using custom metrics and the Horizontal Pod Autoscaler framework already present in Kubernetes clusters. This integration allows KEDA to scale applications dynamically based on real-time data from various event sources without requiring significant changes to existing application architectures.
For developers and operators looking to implement autoscaling, KEDA provides a robust solution that reduces operational overhead while ensuring resources are optimally utilized. Its design principles emphasize scalability, reliability, and ease of use, making it an attractive option for those building on Kubernetes platforms. Overall, the KEDA repository is a well-structured project that serves as a powerful tool in modern application deployment strategies where event-driven scaling is critical.
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