Use of kubernets in the industries and its use cases.
So today this article is about the uses of kubernets in the industries.
What is the Kubernets:-
Kubernetes is an open-source container orchestration platform that enables the operation of an elastic web server framework for cloud applications. Kubernetes can support data center outsourcing to public cloud service providers or can be used for web hosting at scale. Website and mobile applications with complex custom code can deploy using Kubernetes on commodity hardware to lower the costs on web server provisioning with public cloud hosts and to optimize software development processes.
Kubernetes evolved from the code that Google used to manage its data centers at scale with the “Borg” platform. AWS introduced elastic web server frameworks to the public with the launch of the EC2 platform. Kubernetes allows companies to orchestrate containers like EC2 but using open source code. Google, AWS, Azure, and the other major public cloud hosts all offer Kubernetes support for cloud web server orchestration. Customers can use Kubernetes for complete data center outsourcing, web/mobile applications, SaaS support, cloud web hosting, or high-performance computing.
Uses of kubernets in the industries:-
Since its inception, Kubernetes has been a project that has enjoyed great recognition and has always had a lot of impact, but in recent months its influence has been consolidated based on different factors.
The community has grown considerably. Google and Red Hat are the biggest contributors, but there is also Meteor, CoreOS, Huawei, Mesosphere and many more.
In addition, Kubernetes is no longer perceived as something new to experiment with, it is gaining enough credit to be used more and more in production. In fact, by 2019, this platform was in production in 78% of the companies. One year earlier, in 2018, it was in 58%. Companies such as Tinder, Reddit, New York Times, Airbnb or Pinterest have integrated this technology into their services.
So here is some example of some big companies using kubernets.
A large number of Babylon’s products leverage machine learning and artificial intelligence, and in 2019, there wasn’t enough computing power in-house to run a particular experiment. The company was also growing (from 100 to 1,600 in three years) and planning expansion into other countries.
Babylon had migrated its user-facing applications to a Kubernetes platform in 2018, so the infrastructure team turned to Kubeflow, a toolkit for machine learning on Kubernetes. “We tried to create a Kubernetes core server, we deployed Kubeflow, and we orchestrated the whole experiment, which ended up being a really good success,” says AI Infrastructure Lead Jérémie Vallée. The team began building a self-service AI training platform on top of Kubernetes.
Instead of waiting hours or days to be able to compute, teams can get access instantaneously. Clinical validations used to take 10 hours; now they are done in under 20 minutes. The portability of the cloud native platform has also enabled Babylon to expand into other countries.
AppDirect provides an end-to-end commerce platform for cloud-based products and services. When Director of Software Development Pierre-Alexandre Lacerte began working there in 2014, the company had a monolith application deployed on a “tomcat infrastructure, and the whole release process was complex for what it should be,” he says. “There were a lot of manual steps involved, with one engineer building a feature, then another team picking up the change. So you had bottlenecks in the pipeline to ship a feature to production.” At the same time, the engineering team was growing, and the company realized it needed a better infrastructure to both support that growth and increase velocity.
“My idea was: Let’s create an environment where teams can deploy their services faster, and they will say, ‘Okay, I don’t want to build in the monolith anymore. I want to build a service,’” says Lacerte. They considered and prototyped several different technologies before deciding to adopt Kubernetes in early 2016. Lacerte’s team has also integrated Prometheus monitoring into the platform; tracing is next. Today, AppDirect has more than 50 microservices in production and 15 Kubernetes clusters deployed on AWS and on premise around the world.
The Kubernetes platform has helped support the engineering team’s 10x growth over the past few years. Coupled with the fact that they were continually adding new features, Lacerte says, “I think our velocity would have slowed down a lot if we didn’t have this new infrastructure.” Moving to Kubernetes and services has meant that deployments have become much faster due to less dependency on custom-made, brittle shell scripts with SCP commands. Time to deploy a new version has shrunk from 4 hours to a few minutes. Additionally, the company invested a lot of effort to make things self-service for developers. “Onboarding a new service doesn’t require Jira tickets or meeting with three different teams,” says Lacerte. Today, the company sees 1,600 deployments per week, compared to 1–30 before. The company also achieved cost savings by moving its marketplace and billing monoliths to Kubernetes from legacy EC2 hosts as well as by leveraging autoscaling, as traffic is higher during business hours.