Kubernetes is an open-source container management system. It is employed to automate the deployment, scaling, and management of containerized applications. Its popularity towered with the hastening of businesses operating on cloud infrastructure and technology.
To know more about this container management system, you have to understand some terminologies. A container is a software package involving application code, runtime, system libraries, and other settings expected to encompass an application.
Containers are well-equipped to drive complicated and significant enterprise applications. Most noteworthy, the rise in their numbers has commanded the demand for a managing system.
Kubernetes, launched by Google and currently being maintained by the Cloud Native Computing Foundation can be stationed in very diverse scenarios depending on the objectives:
- In-house: Companies can transform their data centre to a Kubernetes cluster to take full advantage of the resources available.
- Cloud: With Kubernetes, organisations can create an infinite number of virtual machines.
- Hybrid: Kubernetes create virtual machines on a cloud when on-premise servers are full to better distribute computing resources.
- Multi-Cloud: Kubernetes helps companies in avoiding vendor lock-in and minimising risk.
Advantages of Kubernetes
Kubernetes has matured as a model for container management system due to several advantages that it offers:
- It proposes easy container scaling across many servers in a cluster.
- The software can be readily ported between varied types of environments.
- Kubernetes extends extraordinary fault tolerance clustering that provides stability and reliability to the project.
- It has built-in data encryption, vulnerability scanning, and other abilities that intensify its safety.
- With Kubernetes, developers can manage replica sets. There is no need to replicate the entire application.
Overall, Kubernetes can thus be cheaper in some cases and more expensive in others and there is always potential to reduce the cost of running it. For this, you need to evaluate it for your specific application and compare the different providers for your needs.
While all these advantages sound pretty attractive, not every company is using Kubernetes and a decision against Kubernetes may be the result of an evaluation of its drawbacks. So let us take a look at some of the main disadvantages of Kubernetes for businesses next.
Drawbacks of Kubernetes
- Kubernetes can be an overkill for simple applications: Kubernetes is a complex but powerful technology that allows you to run software in a cloud environment at a massive scale pretty efficiently. However, if you do not intend to develop anything complex for a large or distributed audience or with high computing resource, there is not much benefit for you from the technical power of k8s.
- Kubernetes is very complex and can reduce productivity: Kubernetes is infamously known for its complexity. Especially for developers not familiar with infrastructure technologies, it can be very hard to get used to the Kubernetes development workflow.
- The transition to Kubernetes can be cumbersome: Since most companies cannot start on a green field, your existing software needs to be adapted to run smoothly with Kubernetes or at least alongside the newly built application that will run on Kubernetes. It is hard to estimate how much effort this requires as this depends heavily on the software. Additionally, some processes need to be adapted to the new environment, especially deployment processes. Even with experienced staff on-site, the adoption of Kubernetes might still be a challenge and requires quite some effort and time.
- Kubernetes can be more expensive than its alternatives: Besides the indirect cost, sometimes the infrastructure cost of running Kubernetes is simply higher than for alternative infrastructures, especially for small applications as Kubernetes itself have some computing needs.
Kubernetes provides three schemes to expose services:
- ClusterIP: It is intended for the pods to interact with each other within the cluster.
- NodePort: It is used to exhibit a service on the same port across all the nodes of a cluster.
- LoadBalancer: The type LoadBalancer extends the NodePort service by adding Layer 4 (L4) and Layer 7 (L7) load balancers.
To sum it all, Kubernetes is an orchestration tool for maintaining distributed services or containerized applications crosswise an allocated cluster of nodes. The design natively supports auto-scaling, high availability, security and portability.
Kubernetes follows a client-server architecture, with a master node composed of etcd cluster, Kube-API server, Kube-controller-manager, cloud-controller-manager, scheduler. Client nodes are composed of Kube-proxy and kubelet components. Core concepts in Kubernetes include pods, services and deployments among others.