Knative is an open source Kubernetes-based serverless framework. The purpose of Knative is to create a cloud-native and cross-platform orchestration standard for serverless applications. Knative helps you build an enterprise-class serverless container platform to deploy and manage modern serverless workloads. The Knative service provided by Container Service for Kubernetes (ACK) is compatible with open source Knative, and can be integrated with ACK, Message Service (MNS), and the storage and network services of Alibaba Cloud. This allows you to use Knative to deploy and manage workloads in production environments.
Introduction
Knative consists of two core components. These components comprise a general-purpose serverless framework:
Knative Eventing: provides event management capabilities, such as producing and consuming events.
Knative Eventing provides an all-in-one system for event-driven serverless applications. The system provides features that allow you to install external event sources, register and subscribe to events, and filter events. The event system decouples event producers and event consumers. An event producer can generate events before active event consumers listen to events. An event consumer can listen to events before active producers produce events.
Knative Serving: provides serverless workload management capabilities. Knative Serving enables serverless deployment, version management, and canary releases for applications. Knative Serving also supports pod auto scaling based on resource requests. If no workload is processed, the number of pods is scaled to zero.
Knative Serving is used to manage the workloads of serverless applications that provide services to users. The most important feature of Knative Serving is pod auto scaling. Pods can be scaled without limits. Knative Serving also supports canary release.
Usage notes
For more information, see Knative overview.
Release notes
July 2023
Version | Release date | Description | Impact |
v1.8.2-aliyun.1 | 2023-07-20 | Important The Knative version must be 1.24 or later.
| No impact on workloads. We recommend that you perform the update during off-peak hours. |
June 2023
Version | Release date | Description | Impact |
v1.4.5-aliyun.1 | 2023-06-19 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |
May 2023
Version | Release date | Description | Impact |
v1.4.3-aliyun.1 | 2023-05-18 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |
April 2023
Version | Release date | Description | Impact |
v1.4.2-aliyun.1 | 2023-04-26 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |
March 2023
Version | Release date | Description | Impact |
v1.4.1-aliyun.1 | 2023-03-23 |
| No impact on workloads. We recommend that you perform the update during off-peak hours. |