How Kubernetes used in industries and its Use Cases:

Kubernetes:-

“Kubernetes, or k8s, is an open source platform that automates Linux container operations. … “In other words, you can cluster together groups of hosts running Linux containers, and Kubernetes helps you easily and efficiently manage those clusters.”

How Kubernetes used in Industries?

Kubernetes is a system that can be used to efficiently implement applications. As a result, it can help companies save money by using less labor to manage their IT infrastructure.

Kubernetes effectively automates container management. Because containers allow for the assembly of code into smaller, easier to transport parts, and larger applications involve a package of multiple containers, Kubernetes can organize multiple containers into units. Therefore, containerized applications can be scaled automatically, making it more feasible with only fewer resources needed to manage multiple containers.

Companies are looking to develop applications, and containers and open source are becoming very important, as they realize that Kubernetes is the first step to create modern scalable applications.

• IT cost optimization: Kubernetes can help a company reduce infrastructure costs quite dramatically if it is operating on a large scale.
• Multi-cloud flexibility: As more enterprises run on multi-cloud platforms, they benefit from Kubernetes, as it easily runs any application on any public cloud service or a combination of public and private clouds.
• Faster time to market: Because Kubernetes can help the development team break down into smaller units to focus on single, targeted, smaller micro-services, these smaller teams tend to be more agile.
• Improved scalability and availability: Kubernetes serves as a critical management system that can scale an application and its infrastructure whenever the workload increases, and reduce it as the load decreases.

INDUSTRY USE CASES:

PINTEREST:-

Challenge

After eight years in existence, Pinterest had grown into 1,000 microservices and multiple layers of infrastructure and diverse set-up tools and platforms. In 2016 the company launched a roadmap towards a new compute platform, led by the vision of creating the fastest path from an idea to production, without making engineers worry about the underlying infrastructure.

Solution

The first phase involved moving services to Docker containers. Once these services went into production in early 2017, the team began looking at orchestration to help create efficiencies and manage them in a decentralized way. After an evaluation of various solutions, Pinterest went with Kubernetes.

Impact

“By moving to Kubernetes the team was able to build on-demand scaling and new failover policies, in addition to simplifying the overall deployment and management of a complicated piece of infrastructure such as Jenkins,” says Micheal Benedict, Product Manager for the Cloud and the Data Infrastructure Group at Pinterest. “We not only saw reduced build times but also huge efficiency wins. For instance, the team reclaimed over 80 percent of capacity during non-peak hours. As a result, the Jenkins Kubernetes cluster now uses 30 percent less instance-hours per-day when compared to the previous static cluster.”

Booking.com:-

Challenge

In 2016, Booking.com migrated to an OpenShift platform, which gave product developers faster access to infrastructure. But because Kubernetes was abstracted away from the developers, the infrastructure team became a “knowledge bottleneck” when challenges arose. Trying to scale that support wasn’t sustainable.

Solution

After a year operating OpenShift, the platform team decided to build its own vanilla Kubernetes platform — and ask developers to learn some Kubernetes in order to use it. “This is not a magical platform,” says Ben Tyler, Principal Developer, B Platform Track. “We’re not claiming that you can just use it with your eyes closed. Developers need to do some learning, and we’re going to do everything we can to make sure they have access to that knowledge.”

Impact

Despite the learning curve, there’s been a great uptick in adoption of the new Kubernetes platform. Before containers, creating a new service could take a couple of days if the developers understood Puppet, or weeks if they didn’t. On the new platform, it can take as few as 10 minutes. About 500 new services were built on the platform in the first 8 months.

Booz | Allen |Hamilton:-

Challenge

In recent years, the adidas team was happy with its software choices from a technology perspective — but accessing all of the tools was a problem. For instance, “just to get a developer VM, you had to send a request form, give the purpose, give the title of the project, who’s responsible, give the internal cost center a call so that they can do recharges,” says Daniel Eichten, Senior Director of Platform Engineering. “The best case is you got your machine in half an hour. Worst case is half a week or sometimes even a week.”

Solution

To improve the process, “we started from the developer point of view,” and looked for ways to shorten the time it took to get a project up and running and into the adidas infrastructure, says Senior Director of Platform Engineering Fernando Cornago. They found the solution with containerization, agile development, continuous delivery, and a cloud native platform that includes Kubernetes and Prometheus.

Impact

Just six months after the project began, 100% of the adidas e-commerce site was running on Kubernetes. Load time for the e-commerce site was reduced by half. Releases went from every 4–6 weeks to 3–4 times a day. With 4,000 pods, 200 nodes, and 80,000 builds per month, adidas is now running 40% of its most critical, impactful systems on its cloud native platform.

“For me, Kubernetes is a platform mad