Kubernetes
What is Kubernetes?
Kubernetes, often abbreviated as “K8s”, is a portable, extensible, open source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation.
It incorporates a huge, quickly developing environment. Kubernetes administrations, support, and devices are broadly accessible.
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Benefits & Advantages
Kubernetes and a cloud-native tech stack attracts talent.
Productivity
Using Kubernetes and its huge ecosystem can improve your productivity.
Cheap
Kubernetes can be cheaper than its alternatives.
Future Proof
Kubernetes is a future proof solution.
Stability
Kubernetes helps to make your application run more stable.
Frequently Asked Questions
Is Kubernetes a cloud?
Kubernetes runs on Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP), and you can also run it on premises.
Is Kubernetes a tool or software?
Kubernetes serves as the deployment and lifecycle management tool for containerized applications, and separate tools are used to manage infrastructure resources.
What can I run on Kubernetes?
Kubernetes works with Amazon EC2, Azure Container Service, Rackspace, GCE, IBM Software, and other clouds. And it works with bare-metal (using something like CoreOS), Docker, and vSphere. And it works with libvirt and KVM, which are Linux machines turned into hypervisors (i.e, a platform to run virtual machines).
Features
Auto-scaling
Automatically scale containerized applications and their assets up or down based on utilization.
Declarative model
Declare the required state, and K8s works within the foundation to preserve that state and recuperate from any disappointments.
Resilience and self-healing
Auto situation, auto restart, auto replication and auto scaling give application self-healing.
Persistent storage
Ability to mount and add storage dynamically.
Load balancing
Kubernetes supports a variety of internal and external load balancing options to address diverse needs.
Recommended Services
Shared CPU
In a shared CPU, the core and the processing unit will be shared by multiple users under a specific server.
GPU
Cloud Graphics Units (GPUs) are computer instances with robust hardware acceleration helpful for running applications to handle massive AI and deep learning workloads in the cloud.
Bare Metal
Bare-metal cloud is a public cloud service where the customer rents dedicated hardware resources from a remote service provider.