Shulou(Shulou.com)05/31 Report--

Serverless artifact Cube how to understand, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Preface

Container technology, represented by Docker, shortens the whole life cycle of enterprise applications from development, construction to release and operation. Gartner predicts that 75 per cent of global enterprises will use containerized applications in production by 2022 (currently about 30 per cent). Because Docker is often difficult to support large-scale containerized deployment independently, container orchestration tools such as Kubernetes are born to solve the problems of organization and management of large-scale containers. But in fact, the use system of Kubernetes is still very complex, for the enterprise development, operation and maintenance personnel, need to have a certain network, storage, system and other technical capabilities. At the same time, in the process of Kubernetes cluster deployment, we also need to face the problems of multi-node cluster construction and maintenance, network and storage selection and configuration. The above problems are inevitable in the containerized deployment and container arrangement of large-scale applications, and Kedun is also faced with the same dilemma.

According to the registered data collection node information, the task scheduling system dispatches the effective collection target to the data collection node. After processing the target according to the algorithm, the data acquisition node transmits the data results according to its content type to the storage queue based on MySQL, MongoDB, HBase, Elasticsearch, object storage and other services. Then the processing chain carries out data cleaning, resource file split and download, model prediction, business label of each subsystem, data push service and so on.

In the micro-service phase, with the increase in the number of applications, a release often involves multiple applications, which puts forward higher requirements for the team's automated operation and maintenance level. As a result, the team began to containerize the application. Each module is packaged and packaged into an image, which can be run on any platform to easily achieve business migration and expansion; without repeated configuration of the environment, with Gitlab can be very convenient for continuous delivery and deployment, but also can be isolated between applications.

Cube is faster and lighter than containers.

After using the container, it does solve the problems of delivery efficiency, operation and maintenance costs and environmental consistency previously faced by Kedun, but there are still some problems in self-built Docker services, such as: the need to purchase a host with fixed resource specifications, the cost is relatively high; it can only be mounted through the host, and the operation is tedious; it only supports a single IP, and binding additional IP is very cumbersome. When you encounter a failure, you need to install a control scheduling system to restart; you can only use namespace and cgroup for weak isolation; you need to use the docker command to create it, so the learning cost is high.

With UCloud container instance Cube, users only need to provide a packaged container image to deploy containerized applications in batches within a few seconds, without the need to purchase hosts or K8S clusters in advance, and only pay for the resources consumed by the actual operation of the container.

In addition, Cube also has the following advantages: UCloud VPC network is used for intranet services on the network to connect with other UCloud cloud products; storage directly uses cloud disk for mounting use, which has high read and write performance and convenient operation; Cube control scheduling system automatically restarts containers and has strong self-healing ability; UCloud massive resource support, super-large clusters to avoid single node failure Use Firecracker virtualization technology to achieve strong isolation at the virtual machine level. Is it helpful for you to read the above content? If you want to know more about the relevant knowledge or read more related articles, please follow the industry information channel, thank you for your support.

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