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Kubeless - Kubernetes Native Serverless Framework

Gursimran Singh | 16 September 2022

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What is the Kubernetes Native Serverless Framework?

Serverless Framework is serverless computing to build and run applications and services without thinking about the servers. In this Serverless computing, there is the abstraction of servers and infrastructure and Operating Systems. To build serverless apps, don't need to provision and manage any servers. Serverless allows focussing from the server level to the task level.

An open-source container orchestration engine and also an abstraction layer for managing full-stack operations of hosts and containers. Click to explore about, Kubernetes Architecture and its Components

What is Kubeless?

Kubeless is an open-source serverless computing framework run on top of it. Kubeless allows deploying code without having to worry about infrastructure. Kubeless uses Kubernetes resources to provide auto-scaling, routing, monitoring, and troubleshooting. The requirement is to create and deploy functions exposed via three possible types of trigger mechanisms.

Pubsub triggered managed with Kafka cluster, a built-in component in Kubeless installation package while HTTP triggered, exposed with its services and schedule function translates to a job. Python, NodeJS, Ruby and.Net core are supported currently.

Serverless computing kind of cloud computing, that is definitely not server-less Click to explore about, Serverless Computing Applications and Architectures

How does Kubeless works?

Kubeless creates a Custom Reference Definition called Function, which create a function as a common resource, in the background a controller forms, it will watch over these custom resources and will launch on-demand. Some basic knowledge of its concepts is required. A working its cluster and Minikube. Kubectl CLI gets installed.

  • Client Application - The User Interface of the application is best-rendered client side in Javascript to use a simple and static web server.
  • Web Server - In AWS there is a service named Amazon S3 to provide a robust and straightforward web server. The static website of files like HTML, and Js for the application server from a simple storage service.
  • FaaS Solution - FaaS is the way to enable Serverless. Examples of FaaS are AWS Lambda, Google Cloud, and Microsoft Azure Function. In AWS there is also a service called AWS lambda used for this framework. It is an application service for logging in and accessing data built as a Lambda function. Therefore more functions will read and write from a database and provide JSON responses.
  • Security Token Services (STS) - It will generate temporary AWS credentials for users of the application. These temporary credentials are used by the client application to invoke the AWS API.
  • User Authentication - AWS Cognito, an identity service integrated with AWS Lambda. With Amazon Cognito, easily adds users to Sign up and Sign in to mobile and web apps. It also has the option to authenticate users through social identity providers such as Facebook, Twitter, or Amazon.
  • Database - In AWS there is also a service named as AWS DynamoDB which provides fully managed databases.

A sort of database service which is used to build, deployed and delivered through cloud platforms. Click to explore about, Cloud Native Databases on Docker

Why it is Important?

Serverless Framework Computing is all about services. Nowadays, the world of IT is moving at some pace away from Iaas and next Paas. PaaS is not concerned about the physical infrastructure; its focus is on providing a discrete capability. Everything depends upon which type of services are used.
  • Serverless services cost as per use.
  • Failover or backup systems are not often required.
  • No need to pay to produce or maintain Hardware Software or other Virtual.
  • Well-defined SLAs.
  • Quickly deploy, build, and release.
  • The software scales up/down according to business needs.
  • Easily to work on it.

What are the benefits?

  • Easier Operational Management - It provides a separation between the infrastructure service and application running on it. Automatic Scaling functionality of FaaS reduces not only computation cost but also reduces Operational Management overheads. System Engineers and SRE's focuses on managing and running the underlying platform and core services such as databases and load balancers while product engineers manage the functions running on the top of the platform.
  • Faster Innovation - Product engineers innovate at a rapid pace as Serverless has the problems of system engineering in the platform. Thus less time for operations translates into a smooth application of DevOps and Agile methodologies. Demand Management and storage of applications using FaaS.
  • Reduced Operational Costs - Similar to IaaS and PaaS, infrastructure and human resource cost reduction is the primary advantage of the serverless architecture logic. In Serverless solution, pay to manage the servers, the databases, and application logic.

A model or an architectural paradigm for software that supports the production, detection, consumption of, and reaction to the event or a significant system state change. Click to explore about, Event-Driven Architecture for Cloud-Native

How to adopt it?

  • Create a namespace for its Components.
  • Download the latest version of Kubeless and Deploy into the cluster.
  • Deploy the code.
  • It creates central pod and service responsible for displaying messages from its service.
  • There are several ways to get access to service, use its Proxy command to check service.
  • Service hits each time when new data saved into the application database. Simulate the use case using its CLI Command.
  • Download two more files view the requirements file and worker’s code.
  • Use Kubeless CLI to create topics easily.
  • Go to the browser and navigate.
  • The main service listens to messages, trigger the worker.
  • The view data stream in the browser.
  • It makes more comfortable with a complete Graphical User Interface to interact and use Kubeless.
  • Now to access Kubeless-UI service, retrieve its master URL.
  • Get random IP provided to service from Kube-api.
  • Use port and finally access the UI via address.
  • Create full and functional services while working with its Cluster.

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What are the best practices?

  • Map application.
  • At the Function level, apply perimeter security.
  • Minimal roles for each function.
  • Application dependencies are secure.
  • Against Bad Code always stay vigilant.
  • For Service Configuration CI/CD & Production add tests.
  • The flow of information was observed.
  • Always FaaS Containers refresh.

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Conclusion

 

Worry about server creation, hardware, maintenance, support, blackout, and staffing resources can be eliminated by Serverless computing. Kubeless works with the help of Kubernetes controllers. The architecture is built by enabling core Kubernetes functionality such as services, deployments, ConfigMaps, and many more.