Kubernetes-intensive automation requires a new framework to secure disparate applications, databases, networks, and storage components.
Kubernetes can seem like a journey into the unknown. For most organizations, Kubernetes requires taking paths not yet charted. This involves risk. But it doesn’t need to.
Kubernetes is simply a Software Defined Datacenter for Containerized workloads. By providing a series of tightly coupled technology solutions, Kubernetes enables workloads to scale dynamically in a standardized way across various Linux systems.
Fortunately, there is a clear path forward to securing your Kubernetes environment. The first step involves understanding core Kubernetes functionality. Next, you’ll need a framework that we call the “4 C’s” to think through your security considerations. Then, you’ll need to build a comprehensive series of maps in a Kubernetes Health Assessment which will address eight (8) specific security issues.
The good news is there are plenty of tools available to lock down your infrastructure. The better news is that it only takes a few weeks of concentrated effort to build a scalable, secure environment. The best news is there is a time-tested, proven approach to simplify the complexity of Kubernetes.
Like with most endeavors, preparation is the key to success. Don’t skip this step on your Kubernetes journey. Any successful expedition requires good preparation in order to avert disaster down the road.
So, let’s get started...
The secret to Kubernetes' speed, efficiency, and compute power lies in standardizing baseline functionality, system constructs, and API definitions to create a consistent experience regardless of your distribution selection.
Baseline functionality includes:
Here is a visual representation of Kubernetes components to help you understand how each component is related and integrated with another.
To ensure workloads (and the environment itself) are designed in a resilient and secure manner, it is important to understand the basic mechanics of how Kubernetes allocates & schedules deployments. This is particularly important because there are many configurable parameters that impact how and where workloads are scheduled and deployed.
Unlike traditional virtual machine workloads which are long-lived and often point-solution specific, Kubernetes workloads have distinct characteristics. These characteristics will shape your security approach and posture.
To illustrate the dynamic nature of Kubernetes, consider what happens when a deployment health check fails. First, the current deployment will be terminated. Then, a new deployment instance will be created. Next, the new deployment will go through the same scheduling process as if it never previously ran.
The new instance is usually deployed on a new node. It will certainly be provisioned with a new IP address. The data (if any) generated from the original deployment instance is lost. This same behavior automatically occurs any time a node goes offline due to a restart, failure, or update event.
As you can imagine, the security implications of an environment that self-heals, auto-scales, auto-replicates, and auto-deploys based on the resources available at the time requires a new way of thinking. Most security policies never contemplated ephemeral data or decentralized computing on the edge and yet these are the requirements that security must meet today.
To help migrate to a secure Kubernetes environment, a framework is needed. This framework can be used to gain consensus on what needs attention and provides a rationale for funding. Since most Kubernetes environments leverage the scalability and efficiency of the cloud, a “4 C’s” framework makes sense for most organizations to use.
Simply put, you can think about Kubernetes security in four layers: Cloud, Clusters, Containers, and Code.
Each layer of the Cloud Native security model builds upon the next outermost layer. The code layer benefits from strong base (Cloud, Cluster, Container) security layers. You cannot safeguard against poor security standards in the base layers by addressing security at the code level.
Unlike other platforms, Kubernetes provides its users with the full functionality of a Software Defined Datacenter with high levels of automation. The best way to address these risks is to conduct a comprehensive Health Assessment on eight dimensions:
A good Health Assessment will leverage the power of maps. Maps will help you review what’s happening now and decide what you need to do differently. They can also shape your path around, over, or through the security hazards identified in your 4 C’s Framework: Cloud, Cluster, Container, and Code.
More importantly, the maps will help you plot on a Risk x Effort Scorecard how to systematically strip out risk in a series of 90-Day Plans that produce a 12-Month Roadmap.
A Health Assessment will take you and your team approximately two weeks to complete. To download a step-by-step Health Assessment Guide, go to www.Shadow-Soft.com. To take a free course on Kubernetes 101 or to learn how to conduct your own Kubernetes Health Assessment with Enterprise Architect office hours at no charge, go to www.academy.Shadow-Soft.com.
For other inquiries or support, please feel free to contact Nick Marcarelli, VP of Engineering, at nick@shadow-soft.com. Nick can help you think through your specific issues and use cases.
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