Kubernetes is an open source platform for deploying, managing and scaling containerized workloads and services. You use it to schedule containers onto a compute cluster and then manage the workloads.
Kubernetes enables you to automate deployment of cloud-native applications anywhere you need to run them, and to manage them in whatever way you choose. This makes it easier to orchestrate the scheduling, distribution and load balancing tasks associated with multi-container applications, even across multiple hosts.
Another great thing about Kubernetes is it has a thriving open source community, managed by the Cloud Native Computing Foundation. In fact, a 451 Research survey of enterprises using containers reported that 71% of them were using Kubernetes. Forrester Research’s Predictions 2018 piece on cloud computing states that “Kubernetes has won the war for container orchestration dominance” over Apache Mesos and Docker Swarm.
As organizations adopt DevOps, they frequently migrate existing application from virtualized environments to containers, thus utilizing the underlying server hardware even more efficiently. For this use case, Kubernetes offers two benefits:
- Kubernetes is proven to work well for migrating existing applications to containers, as well as for building cloud-native, microservices-based applications and also serverless architectures. Flexibility, future-proofing and getting more out of existing investments–what’s not to like?
- Virtualization is basically outside the realm of development and impacts only the operations/infrastructure teams. But managing containers with Kubernetes inherently blurs the boundary between Dev and Ops, which in a DevOps culture is a good thing. Developers can package up applications along with their required infrastructure dependencies, hand them off to Operations, and let the technology manage the dependencies so the application behaves predictably in test or production environments.
Kubernetes definitely makes it easier to manage containers. But with this power comes complexity and a learning curve. The platform is still pretty new, and people who know it really well are few.
Many organizations are struggling to find or develop the specific expertise they need to handle Kubernetes-related challenges in areas like security, networking, storage, monitoring, load balancing, automating more complex deployments, managing multi-cloud or hybrid cloud environments, and managing data-intensive workloads. You may even be wondering whether you should go with open-source or vendor-supported Kubernetes.
Bitlancer is here to help! With our DevOps CoPilot program, we can keep your team moving forward and building expertise as you dive (or dip) into Kubernetes.
Speaking of reducing complexity… Why is Kubernetes abbreviated “k8s”? Because it’s more efficient! Numeronyms like “i18n” for “internalization,” “v12n” for “virtualization” and “i14y” for “interoperability” have been amusing people in the software industry since the 1980s. Legend has it that numeronyms originated with a Digital Equipment Corporation (DEC) employee named Jan Scherpenhuizen. His name was longer than the max length for an email account name, so a system administrator gave him the username “s12n.”
As you begin leveraging containers, k8s is a cutting-edge numeronym your whole DevOps team can enjoy. And think of the time you’ll save.