Kubernetes is a powerful container management tool that automates the deployment and management of containers. It (k8’s) is the next big wave in cloud computing and it’s easy to see why businesses migrate their infrastructure and architecture to reflect a cloud-native, data-driven era.
Whether you’re a developer, data scientist, product manager, or something else, it won’t hurt to have some knowledge of Kubernetes. It’s one of the most sought after skills by companies of all sizes, so if you’re looking to gain a new skill that will stay with you throughout your career, then learning Kubernetes is awesome.
Outlined in this post are some of the top reasons why you should use Kubernetes and when you should/shouldn’t use it.
1. Container orchestration
Containers are great. They provide you with an easy way to package and deploy services, allow for process isolation, immutability, efficient resource utilization, and are lightweight in creation.
But when it comes to running containers in production, you can end up with dozens, even thousands of containers over time. These containers need to be deployed, managed, and connected and updated; if you were to do this manually, you’d need an entire team dedicated to this.
2. Great for multi-cloud adoption
With many of today’s businesses gearing towards microservice architecture, it’s no surprise that containers and the tools used to manage them have become so popular. Microservice architecture makes it easy to split your application into smaller components with containers that can then be run on different cloud environments, giving you the option to choose the best host for your needs.
What’s great about Kubernetes is that it’s built to be used anywhere so you can deploy to public/private/hybrid clouds, enabling you to reach users where they’re at, with greater availability and security. You can see how Kubernetes can help you avoid potential hazards with “vendor lock-in”.
3. Deploy and update applications at scale for faster time-to-market
Kubernetes allows teams to keep pace with the requirements of modern software development. Without Kubernetes, large teams would have to manually script their deployment workflows. Containers, combined with an orchestration tool, provide management of machines and services for you — improving the reliability of your application while reducing the amount of time and resources spent on DevOps.
Kubernetes has some great features that allow you to deploy applications faster with scalability in mind.
4. Better management of your applications
Containers allow applications to be broken down into smaller parts which can then be managed through an orchestration tool like Kubernetes. This makes it easy to manage codebases and test specific inputs and outputs.
As mentioned earlier, Kubernetes has built-in features like self-healing and automated rollouts/rollbacks, effectively managing the containers for you
Furthermore, Kubernetes allows for declarative expressions of the desired state as opposed to an execution of a deployment script, meaning that a scheduler can monitor a cluster and perform actions whenever the actual state does not match the desired. You can think of schedulers as operators who continually monitor the system and fix discrepancies between the desired and actual state.
Overview/additional benefits of using Kubernetes
- You can use it to deploy your services, roll out new releases without downtime, and to scale (or de-scale) those services.
- It is portable.
- Kubernetes can run on a public or private cloud.
- It can run on-premise or in a hybrid environment.
- You can move a Kubernetes cluster from one hosting vendor to another without changing (almost) any of the deployment and management processes.
- Kubernetes can be easily extended to serve nearly any needs. You can choose which modules you’ll use, and you can develop additional features yourself and plug them in.
- Kubernetes will decide where to run something and how to maintain the state you specify.
- It can also place replicas of service on the most appropriate server, restart them when needed, replicate them, and scale them.
- Self-healing is a feature included in its design from the start. On the other hand, self-adaptation is coming soon as well.
- Zero-downtime deployments, fault tolerance, high availability, scaling, scheduling, and self-healing add significant value in Kubernetes.
- You can use it to mount volumes for stateful applications.
- It allows you to store confidential information as secrets.
- You can use it to validate the health of your services.
- It can load balance requests and monitor resources.
- It provides service discovery and easy access to logs.
In summary, Kubernetes boasts some pretty great features that can have a positive impact on your developing/DevOps teams and for the business as a whole. It is one of the most sought after skills by companies of all sizes, so if you’re looking to gain a new skill that will stick with you throughout your career, then learning Kubernetes is a great option.