Case Study on Azure Kubernetes Service (AKS) : Industry Use Cases
Task Description??
?? Research how Kubernetes is used in Industries and what all use cases are solved by Kubernetes?
WHAT IS KUBERNETES ???
Kubernetes is an open-source container-orchestration system for automating computer application deployment, scaling, and management. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation.
Kubernetes defines a set of building blocks ("primitives"), which collectively provide mechanisms that deploy, maintain, and scale applications based on CPU, memory or custom metrics.
Kubernetes is open source software that allows you to deploy and manage containerized applications at scale.
FEATURES OF KUBERNETES
Automated rollouts and rollbacks
Kubernetes progressively rolls out changes to your application or its configuration, while monitoring application health to ensure it doesn't kill all your instances at the same time. If something goes wrong, Kubernetes will roll back the change for you. Take advantage of a growing ecosystem of deployment solutions.
Service discovery and load balancing
No need to modify your application to use an unfamiliar service discovery mechanism. Kubernetes gives Pods their own IP addresses and a single DNS name for a set of Pods, and can load-balance across them.
Service Topology
Routing of service traffic based upon cluster topology.
Storage orchestration
Automatically mount the storage system of your choice, whether from local storage, a public cloud provider such as GCP or AWS, or a network storage system such as NFS, iSCSI, Gluster, Ceph, Cinder, or Flocker.
Secret and configuration management
Deploy and update secrets and application configuration without rebuilding your image and without exposing secrets in your stack configuration.
Automatic bin packing
Automatically places containers based on their resource requirements and other constraints, while not sacrificing availability. Mix critical and best-effort workloads in order to drive up utilization and save even more resources.
Batch execution
In addition to services, Kubernetes can manage your batch and CI workloads, replacing containers that fail, if desired.
IPv4/IPv6 dual-stack
Allocation of IPv4 and IPv6 addresses to Pods and Services
What is Kubernetes used for?
Kubernetes keeps track of your container applications that are deployed into the cloud. It restarts orphaned containers, shuts down containers when they’re not being used, and automatically provisions resources like memory, storage, and CPU when necessary.
How does Kubernetes work with Docker?
Actually, Kubernetes supports several base container engines, and Docker is just one of them. The two technologies work great together, since Docker containers are an efficient way to distribute packaged applications, and Kubernetes is designed to coordinate and schedule those applications.
Kubernetes’ increased adoption is showcased by a number of influential companies which have integrated the technology into their services
Pinterest’s Kubernetes story
With over 250 million monthly active users and serving over 10 billion recommendations every single day, that is huge. (The numbers might have changed now) As they knew these numbers are going to grow day by day, they began to realize the pain of scalability and performance issues.
Their initial strategy was to move their workload from EC2 instances to Docker containers; hence they first moved their services to Docker to free up engineering time spent on Puppet and to have an immutable infrastructure.
And then the next strategy was to move to Kubernetes:) Now they can take ideas from ideation to production in a matter of minutes whereas earlier they used to take hours or even days. They have cut down so much of overhead cost by utilizing Kubernetes and have removed a lot of manual work without making engineers worry about the underlying infrastructure.
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.
#vimaldaga #righteducation #educationredefine #rightmentor #worldrecordholder #linuxworld #makingindiafutureready #righeducation #arthbylw #ansibleglaxy#rightansibleconcepts #k8s #usecase #kubernetes #microservices