Amazon Web Services or AWS services are the latest and the newest forms of services when it comes to migrating from one server to another. Similarly, today in this article we would be sharing some important facts about the Kubernetes service that works on Azure, Google, and AWS.
Kubernetes is a popular open-source that contains an orchestration platform that actually allows deploying as well as manage the multi-container application at scale. Businesses across are rapidly adopting this newest and the latest form of revolutionary technology to ensure the modernization of their applications.
Nowadays major cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are indeed playing an important role in providing advanced features that are beneficial for the businesses so as to manage their Kubernetes architecture.
The option of Kubernetes is very often used with Docker. The core reason for it is because it is a popular as well result-oriented containerization platform. Post the launch of the Docker containerization project in the year 2013, containers have become more viable and prevalent. The working parameter of Kubernetes is very accurate and it is with any container system that follows the Open Container Initiative (OCI) standards for container image formats. The best thing about it is that since it is an open-source, Kubernetes can be used by anyone, anywhere on-premises, or public – cloud, or both.
Further, when distributed containerized applications are difficult to manage, it is the source of Kubernetes that is making these containerized apps radically easier, and simpler to manage and become one of the key parts in the revolution of the container.
So, with this said let us analyze and compare some of the different features and services that are offered by giant public clouds and in what way they are beneficial to the organizations.
In this article, we’ll analyze and compare the different features and services offered by giant public clouds and how they are beneficial for organizations. To deep dive into Kubernetes, it is necessary to have a series of hands-on labs to build first-hand Kubernetes experience working directly in a live cloud environment.
Moving further, below are some of the details or services that are taken into consideration at the time of deploying Kubernetes service that works on Azure, Google, and AWS.
1.Amazon Elastic Container Service for Kubernetes (Amazon EKS)
Amazon Elastic Container Service for Kubernetes (EKS) is a managed service that was made available in the industry in June 2018, so that Kubernetes can run on AWS. It is a way that is entirely capable and compatible with the apps that are running on any basic and standards Kubernetes architecture. When on Amazon EKS, it is only one single-tenant Kubernetes that is controlling the plane and that is running for each cluster and also these control planes are not shared across clusters.
2.Azure Kubernetes Service (AKS)
Amazon Kubernetes Services (AKS) is the solution that is for Microsoft’s This solution was developed in June 2018 and was available for general use. It is like the fully manages AKS makes containerized apps to easily deploy and completely be managed in the Kubernetes environment. It was in the year 2016 that Microsoft already announced Azure Container Services before AKS. Also, with this, the experience in container orchestration supported not only Kubernetes but also Apache Mesos and Docker Swarm.
3.Google Kubernetes Engine (GKE)
It was in July 2015 Kubernetes was first introduced by Google. Google Kubernetes Engine (GKE) is a managed production-ready architecture for deploying containerized apps that is one of the most advanced solutions. GKE allows to set up containerized apps in no time, by eradicating the requirement to install and manage Kubernetes clusters.
4.Comparing hosted services
Here in this section, there will be an analysis and comparison of key features of these three providers regarding Kubernetes architecture.
5.Current version
It is the process in which within a few weeks or days of writing the article the true and actual version of the platforms will be checked and dated. Although, the current market trend gives the vision of the use of some of the important data and information as that of call and another set of details. If made comparison, it is Google Cloud has the most recent release, followed by Microsoft Azure, and then AWS. The resolution of bugs and security issues is easier in Google’s version than in Microsoft Azure and AWS at some level.
6.Automatic update
GKE solutions is currently at top and is providing fully automated updates on the work for the cluster. The upgrading of the cluster is followed by simple command and that is allowed by AKS. But upgrading Amazon EKS, a user needs to send some command-line instructions to it, which makes it more difficult among the other two.
7.CLI Support
Here for each set of work there is a separate command and that needs to be followed with ease and conveniency. While heading towards Kubernetes we make sure that as per the need of the server the details are being updated and shared over it. The CLI support of the details are as below.
AWS
aws eks –region ${region} update-kubeconfig –name ${cluster}
Microsoft Azure
az aks get-credentials –resource-group ${RS} –name ${cluster}
Google Cloud Platform
Google cloud container clusters get-credentials ${cluster}
8.Resource monitoring
To monitor Kubernetes, it is Google cloud that provides stackdriver. The use of stackdrivers monitors the masters and the nodes. Also all this components of Kubernetes which is inside the platform is connected along with integrating logging, and for this, no other additional user manual steps are required.
Microsoft Azure has two offerings: Azure Monitor to evaluate the health of a container and Application Insights to monitor the Kubernetes components. A user needs to configure Istio (a service-mesh solution) to monitor Kubernetes components. AWS has no integrated monitoring solution, but it relies on third-party solutions instead.
1.Availability
Google Cloud has one of the best availability among these three, but after launching services in Latin America and Africa, Microsoft Azure will take the lead. As AWS is not offering services in Latin America, Africa, or Oceania, it will fall behind.
2.Node pools
Based on the set of the work, or different types of workloads, there is a need to install and allocate different kinds of machines to cluster and this is only possible by the node pools. It is like with the need for the database systems, more RAM and better disk is required. While on the other hand the tasks like machine learning algorithms need a better CPU.
With the implementation of node pools, we can easily provide the resources that are best available and for the same the user can specify the service deployment on demand. Google Cloud and AWS are leading in this race by providing node pool support for the past two years. Yet Microsoft Azure has failed to deliver node pools for more than a year.
Autoscaling
The capability to autoscale the up and down of the nodes is with Kubernetes and this is with in order to use the resources on and in demand. Thus, indeed this is termed to be one of the most exciting features it has. In this way, users avail services that are available all the time, while stakeholders can manage to have a cost-effective infrastructure. To have fine-tuned resource utilization for specific types of services, we can use autoscaling along with node pools.
In autoscaling, Google Cloud is leading as the most mature and intelligent solution that is easily available on the interface. It is that the user here needs to make sure that there is a specification of the desired VM size and the range of the nodes on the required node pool. Post this some of the other steps and details are being managed by Google Cloud.
When it comes to auto-scaling it is AWS that has ranked second and this is because it needs some small and minor manual configurations. Microsoft Azure has introduced autoscaler, which is partially covered by customer support (not available for production use), and it may deliver it with node-pool functionality in the near future.
High availability
The term “high availability” means your cluster will be available even if something goes wrong. For example if the services of the clients are completed relied on one single data center, and if it goes down, then it is a fact that the services will be getting interrupted.
To ensure the need and availability of Kuberneted endpoints, the master nodes are spread over more than one availability zone for each of the three services. Now, Kubernetes endpoint will be available even if one of the regions becomes unavailable.
Only Google Cloud has managed to provide full support for high availability for worker nodes. But of course, it is costly because the minimum worker nodes should guarantee 99.99% availability.
Role-based access control (RBAC)
Throughout the Kubernetes API, the process that is taken into consideration is role-based access control (RBAC). This further lets the admins configure the policies dynamically. Each of the three hosted services providers provide RBAC implementations.
Bare-metal clusters
The name of the service itself says what shows by the name. Virtual machines (VMs) are emulated machine running above real hardware. While using the technique for cloud providers there are a bunch and bundles of benefits that are available with it. For better resources and its utilization, we at Cloud-Stack Group split the work in a very large machine and that is into several smaller units so as to share the same with the clients.
High accessibility, as well as VMs, are easy to move from one physical machine to another. Besides all, the virtualization layer adds some complexities and low performance that may possible from the physical, bare metal, and hardware. For the time being, only AWS has bare-metal hardware available.
Pricing
Cluster management that includes Master node management and machines running it is provided free of cost by GKE and AKS. You are charged for services you run like VMs, bandwidth, storage, and services.
On the other hand, Amazon EKS charges you $0.20 per hour for each deployed cluster other than the services you are using. And for the whole month, it costs you extra. Keep remembered that AWS charges you additionally even for testing and staging cluster environments.
Wrapping Up:
Kubernetes when established is itself is one of the most demanded as well as popular container orchestrator service and has become a vital solution for cluster management. This is a fact that this process does not end up here. This service is gaining a continuous approach in the market value and thus its deployment is getting easier with the help of the Platform as a Service (PaaS) solution.
AWS, Microsoft Azure, and Google Cloud Platform are the most popular cloud providers available in the market. The competition of claiming the best Kubernetes solutions in the past few years has increased. Also, this is a fact that predicting the future is hard, but it is Google who has the advantage of presenting one of the most accurate, mature, and cheapest products.
Talking on another side of the coin, businesses, and people are more of taking interest in AKS and Amazon EKS solutions that are seeking very much of popularity. Kubernetes is one of the fastest as well as popular container orchestration tools. Feel free to connect with us to know more about Kubernetes and its integration process.
