With the rapid development of technologies such as the Internet of Things (IoT) and 5G, more and more devices and sensors are connected to the Internet, thereby generating a large amount of real-time data. In order to process these data, edge computing technology came into being. Edge computing is an architecture that places computing and storage resources near the data source, which can improve data processing efficiency and quality, and reduce network bandwidth and latency. Cloud native technology is a scalable, highly available, and high-performance way to deploy and run applications, which can better support edge computing architecture. Therefore, building edge computing cloud-native infrastructure based on standard Kubernetes has become a hot topic.
In building edge computing cloud-native infrastructure based on standard Kubernetes, there are several key words or phrases:
Kubernetes: Kubernetes is an open source container orchestration tool that automates the deployment, scaling, and management of containerized applications. It provides many core functions, such as container orchestration, container load balancing, automatic expansion and rolling update, etc. In edge computing scenarios, Kubernetes can be deployed on edge nodes to manage and schedule containers and resources on edge nodes.
Cloud-native: Cloud-native is a way of building and running applications designed to maximize their resiliency and portability. Cloud-native applications are typically packaged and deployed by containerization and leverage best practices such as microservices, immutable infrastructure, and declarative configuration. In edge computing scenarios, cloud-native technologies can provide highly available, scalable, and high-performance edge computing services.
Edge computing: Edge computing is an architecture that places computing and storage resources near the data source, which can improve data processing efficiency and quality, and reduce network bandwidth and latency. In edge computing scenarios, Kubernetes can be deployed on edge nodes to manage and schedule containers and resources on edge nodes.
So, how to build edge computing cloud-native infrastructure based on standard Kubernetes?
Understand requirements: First, you need to understand your own requirements, including the type of application, data volume, and latency requirements. At the same time, factors such as the distribution of edge nodes, network connections, and security need to be considered.
Choose the appropriate Kubernetes version: Choose the appropriate Kubernetes version according to your needs, including community edition, enterprise edition, or professional edition. At the same time, the scale and scalability of Kubernetes need to be considered.
Deploy Kubernetes: deploy Kubernetes to edge nodes, and configure and manage Kubernetes clusters. This includes operations such as installation, configuration, backup and recovery.
Build cloud-native applications: Build edge applications using container technology and cloud-native best practices. This includes splitting applications into microservices, using immutable infrastructure, declarative configuration, and more.
Deploy and manage applications: Automate deployment, scaling, and management of cloud-native applications using Kubernetes. This includes using core features such as load balancing, autoscaling, and rolling updates.
Monitoring and management: Use monitoring and management tools to monitor and manage information such as performance, logs, and errors of edge applications. At the same time, Kubernetes and edge applications need to be regularly updated and maintained.
In short, building edge computing cloud-native infrastructure based on standard Kubernetes can improve the elasticity and portability of applications, and at the same time provide highly available, scalable, and high-performance edge computing services. If you need to build an efficient edge computing architecture, consider building an edge computing cloud-native infrastructure based on standard Kubernetes.
This article is published by mdnice multi-platform