Why Kubernetes Is The Future Of Cloud Computing
A lot of people may not be familiar with the fact that Google designed Kubernetes, an open-source container-orchestration system for automating computer applications. However, for the last five years the Cloud Native Computing Foundation a Linux Foundation project, has been in existence to promote advanced container technology. Right now, many cloud services offer Kubernetes-based solutions such as IaaS (infrastructure as a service) or PaaS (platform as a service), while many vendors offer their own branded Kubernetes distribution services.
According to a recent study by the Enterprisers Project, the vast majority of respondents, around 84%, were running containers in production compared to usage of 23% in 2016. Moreover, 56% of the organizations polled for the 2020 report said that they were expected to use containers and increase their usage in the next 12 months. Furthermore, the percentage of companies running 250 or more containers in production grew by 28%, crossing the 50% threshold for the first time.
In light of this information, let’s take a quick look at some of the reasons why Kubernetes is the future of cloud computing.
Affordable Outsourcing Options
Perhaps one of the best possible reasons why Kubernetes is taking over the world by storm is that you can find a lot of support available when it comes to technical troubles and issues. In fact, if you go online and search for a reliable Kubernetes expert who you would like to outsource, you will end up with people who have various capacities in other work areas but definitely offer you the support you need to overcome adverse conditions. In fact, you yourself can become a Kubernetes expert:
- Apply for CKAD (Certified Kubernetes Application Developer).
- This exam certifies that you can build, configure, and design native applications for Kubernetes and expose them to the cloud.
- Apply for CKA (Certified Kubernetes Administrator)
- Apply for CKS (Certified Kubernetes Security Specialist)
- Disaster Recovery
If there is one thing that Kubernetes is quite good at then, that is disaster recovery. It is one of those problems that you can solve with Kubernetes, since containers are the perfect host for small independent applications like micro services. However, some of them can be quite complex or even impossible. This is where Kubernetes can offer you disaster recovery.
In difficult conditions or the event of isolated events such as explosions, disasters, or terror attacks, the server can be affected. In this scenario, a mechanism to pick up the dialer data and restore it to the latest state without affecting the data of the application will be required. The containerized application can then run from the latest state after the recovery.
Greater Interactivity
If you look from the perspective of CIOs (Chief Information Officers) and influencers, you will find that they talk about the future of computing. However, in these discussions, you wouldn’t only find them discussing hardware advancements or cloud-based software. In fact, many of these conversations center on offering integrated user experiences. An example of this can be taken from a bank inspecting customer data patterns aiming to promote new banking services, analyze health indicators of users, and recommend them treatments or immersive interface for personalized interactions.
High Availability & No Downtime
Ask yourself this question: What is an important aspect of cloud services you expect to get from remote locations? I hardly doubt that you have chosen anything different than availability and negligible downtime. This is a fact because you certainly don’t want to have services that phase in and out. With a reliable connection, cloud computing can become pretty useless.
When it comes to high availability, it simply means that your application doesn’t suffer from downtime issues, and this will allow your application to be fully visible and functional for the end-users.
High Performance & Scalability
While availability and zero downtime are indeed bliss, what makes Kubernetes extremely useful is that it allows applications to load faster and thus provides your users with a very high response rate. Hence it can very well help you to unlock the doors to accomplishing high-performance computing.
High performance computing is generally referred to as the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation. Some of the best tips include:
- Building optimized containers
- Configure Kubernetes features
- Configure node affinities
- Configure pod affinity
- Configure pod priorities
- Configure taints and tolerations
- Defining your resource profile to match your application requirements
- Deploy your Kubernetes clusters near your customers
- Get feedback from metrics
- Optimize Etcd cluster
- Incorporation of AI
It seems like people nowadays are more than willing to incorporate AI into any piece of software they could find just to see where it takes us, the user and what use cases can it provide in the future. IBM has taken a grand initiative to implement Deep Learning within the Watson Studio. Its premier AI business tool.
Guess what? The open-source version of IBM’s Deep Learning service is called the Fabric of Deep Learning, and data scientists are training models within a confidential data on-premise similar to Kubernetes-based IBM Cloud Private. Hence anytime soon, we all are going to see young ones training AI models on Kubernetes.
Conclusion
Kubernetes is commonly used as a way to host microservice-based implementation. This is because it and its associated ecosystem of tools provide all the capabilities needed to address a key concern of any microservice architecture. However, one should know that implementing microservice architecture is indeed quite difficult. This is where Kubernetes excels as it supports the service-based secure deployment and usage of sensitive configuration information such as certificates, passwords and other critical data.
About The Author: Stella Lincoln currently works as the Assistant Editor at Assignment Assistance and Master Thesis and has a special interest in Technology and the Internet.
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