Kubernetes is a fantastic utility for managing containerized workloads at scale. Originally developed by Google, the open-source container orchestration system helps automate and streamline containerized applications' management, deployment, and scaling. Before Kubernetes, many of the tasks associated with deploying and managing application services were manual and time-consuming. When deployed and configured correctly, Kubernetes can make the lives of development and operations teams easier.
But there’s the rub. Configured correctly.
Kubernetes is incredibly easy to adopt. It’s free, an open-source run by a community of volunteers, and anyone can go to Kubernetes.io and install the latest version. It can run anywhere – on-premises, hybrid, or public cloud infrastructure. The hyperscale cloud providers have each offered turnkey managed Kubernetes services, including Amazon’s Elastic Kubernetes Service (EKS), Microsoft’s Azure Kubernetes Service (AKS), and Google’s Kubernetes Engine (GKE), to help make things easier to orchestrate containers in their clouds.
However, getting Kubernetes configured correctly is incredibly complex, especially for beginners who don’t have the training to use it properly.
Here are three key points that enterprises thinking about Kubernetes should consider:
Remember that Kubernetes doesn’t provide any added protection against ransomware and other cybersecurity threats compared to VMs or other non-containerized workloads. If one containerized workload is compromised, it can impact other services as well. Kubernetes’ built-in security features aren’t configured to work perfectly with your workloads when deployed.
Kubernetes continues to improve, and vendors and other open-source projects build a robust ecosystem of tools around it. But given the complexity and risk involved with running Kubernetes effectively, many organizations should consider whether a crawl-walk-run approach with Kubernetes is best.