✱How Kubernetes is used in Industries and what all use cases are solved by Kubernetes..?
Kubernetes’ increased adoption is showcased by a number of leading companies which have integrated the technology into their services.
What is Kubernetes?
Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.
The name Kubernetes originates from Greek, meaning helmsman or pilot. Google open-sourced the Kubernetes project in 2014. Kubernetes combines over 15 years of Google’s experience running production workloads at scale with best-of-breed ideas and practices from the community.
Kubernetes Cluster
A Kubernetes cluster is a logical grouping of EC2 compute instances that run your containers. A cluster consists of the control plane (the instances that control how, when, and where your containers run), and the data plane (the instances where your containers run). You must define a cluster before you can run containers or services with Kubernetes.
Capabilities of Kubernetes
Five fundamental business capabilities that Kubernetes can drive in the enterprise–be it large or small. And to add teeth to these use cases, we have identified some real-world examples to validate the value that enterprises are getting from their Kubernetes deployments
- Faster time to market
- IT cost optimization
- Improved scalability and availability
- Multi-cloud (and hybrid cloud) flexibility
- Effective migration to the cloud.
USE CASE
Why tinder moved to Kubernetes…??
Tinder is an American geosocial networking and online dating application that allows users to anonymously swipe to like or dislike other profiles based on their photos, a small bio, and common interests. Once two users have “matched”, they can exchange messages.
Due to high traffic volume, Tinder’s engineering team faced challenges of scale and stability. What did they do?
Kubernetes — Yes, the answer is Kubernetes.
Tinder’s engineering team solved interesting challenges to migrate 200 services and run a Kubernetes cluster at scale totalling 1,000 nodes, 15,000 pods, and 48,000 running containers.
Was that easy? No ways. However, they had to do it for the smooth business operations going further. One of their Engineering leaders said, “As we onboarded more and more services to Kubernetes, we found ourselves running a DNS service that was answering 250,000 requests per second.” Fantastic culture, Tinder’s entire engineering organization now has knowledge and experience on how to containerize and deploy their applications on Kubernetes.