Kubernetes for Edge Computing
Written by : Dhruv Dev Dubey, Content Writer, Graphic Designer, Strategy & HR Consultant
In Technology world as the industries are being expanded and performing their businesses at higher level they need high end, fast and low downtime technology, IT servers and IT infrastructure to manage their works. In earlier time there was not much scope and concept of IT services. Industries were managing their information, resources and equipment manually. The data were being stored in manual note book and the calculation and data analysis is done manually. Things and equipment were being monitored manually by employees. As the world demand increased the size of industry started increasing and the product which were used to make are started increasing and companies start facing difficulty in storing retrieving and using the information and the user data. Individual computer were introduced that time to industries and companies to manage, store and retrieve their information. But again at high scale and big companies found difficulty in managing thousands of user data and their backup and in their retrieval. After that the concept of cloud storage came into the picture.
Companies start taking the services from IT companies to manage, front end, and backend and database their work. The services were started to provide in the form of application and the cloud storage for the data base. So that each and every user present in the organization can use and access their data with single click and with single login. And all the data of the companies were being stored at single place say cloud instead of storing in individual computers. It gave company immense liberty and ease to company for doing their task. But somewhere industries need to manage their IT infrastructure like computers and their devices on which Application need to be run and their performance for fast processing of data and computing. At the other end the Application and cloud storage providing companies need to manage the updates and the downtime of application their availability, and the server where data are being stored need to take their backup need to make manual scaling if the requirement arises and need to connect the scaled network by integrating their IPs manually. But in this method work to each company that is IT service provider and service taking company need to struggle more to keep the service running smoothly still they used to get the down times because of the failure of server or any cloud device. So IT industry thought about advancing their technology and here the concept of cloud computing and virtual machine came into the picture
Cloud computing is the service which not only provide UI, API, database and storing capability but It given the processing unit and they have capability to compute, process and perform the task as it is being performed in individual PC. So a kind of virtual machine concept came into the picture. Here service taking industries need not to manage high end and super computer they don't need high processing computing units. They only need a normal configuration computer which can run browser smoothly and high speed internet let's say 4G. the cloud computing is having component like end user ,service provider and the service provider store and process the data at cloud which is much far from end user. Let's see
the example of some cloud computing technology. Like if anybody need to render 100 GB of image in any rendering software they need a high end processing unit, high processor and graphic card in their computer but in cloud computing this processing can be done remotely on cloud and end result can be seen to end user. During the processing end user can shut down their PCs. Similarly the video converting can be done remotely by using cloud computing. If any end user want to play high graphic games and they don't have capable computer to run that game they can use virtual machines available at the cloud computing server to use that service. But again some problem industries faces in cloud computing also like manual deployment of the services and API to server. Manual scaling the cloud packages. Manual performance of the activity like maintaining and downtime during maintenance time and one more drawback is not a realistic feeling comes when user uses virtual machine because of the some second or milisecond latency. This latency arises because of the far server available from the end user. But finally IT companies come with the solution of these thing by using edge computing service with integration of Kubernetes.
First lets under what is edge-computing. Edge computing is the extended version of cloud computing in which there is addition of two technologies into the existing cloud computing that is Edge server and 5G internet. Tech are saying by the 2025, 75% percent of the industries will adopt the edge computing technologies. Let's simplify more the edge computing technology. Basically when data were being processed, uploaded and download from the cloud it was taking time and latency were coming into the picture because of the distance and slow internet technology. By introducing an intermediate server between end user and the cloud the distance of the data is decrease and by adding 5G network the speed of the connection is increases. When data are retrieve or given command for processing the data downloaded to edge server first and the processing is done in edge server only which increase the response time and feeling of virtual machine is becoming like real machine. But still some part of the work need to addressed which is fulfilled by Kubernetes.
Kubernetes are the open source services being provided by Google now. Let's see the basic definition of Kubernetes first. It is orchestration of the micro services and the edge server. Now let's understand in the simple word. For e.g. in any music program orchestra manage all the music instrument player by giving the command. Similarly here Kubernetes plays the role. Kubernetes are also called K8s. here Kubernetes are the physical server which two kinds of node that is master and slave nodes. The function of the Kubernetes are to perform edge computing work smoothly and managing the whole proves in the form of micro services.
The primary work of Kubernetes are deployment of service. Their scalability, scheduling the micro service and organization. Now let's understand how Kubernetes work. In slave node Kubernetes generate the multiple copies of the services and scale it by their self and generate the interconnection between them. The different pods are generated which are having Docker of the information. These information Docker are nothing but micro services. Each micro services perform their individual task independently. Kubernetes integrate those micro services to perform smooth performance. During maintenance of any micro services Kubernetes manage the work by managing those Micro services from other slave nodes. So it decrease the downtime and speed of the services. Simply Kubernetes are the API and application manager who manage the application in deployment, scaling the network managing downtime and interconnecting the different nodes. In the last it can be said edge computing with Kubernetes can bring the IoT at the next level where concept of metaverse can be possible.
Search words: Kubernets, CloudStorage #ITInfrastructure CloudComputing, Server Programming, UI, Database, Docker, Microservices, API Integration, Network Management
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