Kubernetes is an open-source platform for scheduling and automating the deployment, management and scaling of containerized applications. Also known as “k8s” or “kube” — this container orchestration platform enables cost-effective cloud-native development. Along with all the advantages that come up with deploying Kubernetes, there are many management and monitoring challenges too. Engineering teams can be seen exploring ways to navigate through these complicated and often overwhelming Kubernetes management challenges to get the most out of their investments.
Kubernetes management involves all operations that deal with complete controlling and tracking of cluster metrics. Such tasks comprise the initiation, controlling, scaling and deletion of pods & containers, their configuration and the evaluation of cluster metrics. K8s management is not only concerned with performance-measured workloads. It also comprises maintenance of the supportive framework which covers the areas such as networking, storage and security. However, managing a Kubernetes cluster is rather complex because of the multi-layered architecture of Kubernetes and the dynamic nature of Kubernetes environments.
Here, in this blog, we’ll discuss the top 5 Kubernetes management tools that help DevOps teams manage and deploy Kubernetes with ease. Take a look!

Helm: The Package Manager

Imagine how you can manage apps without chasing configuration files. Helm, the package manager of Kubernetes, simplifies deploying the applications in a cloud environment and their management. Helm in Kubernetes helps teams to have a more consistent deployment by packaging up all of the essential resources needed for deploying a Kubernetes cluster. It is something like a “npm” for Kubernetes, but with the possibility to define, install and upgrade applications in simple charts.

Kube-Prometheus-Stack: Monitoring at your Ease

Assuring the health of your Kubernetes cluster is essential. Kube-Prometheus-Stack takes the hassle out of monitoring by collecting all metrics that you need: The tools are Prometheus for metrics collection, Alertmanager for notifications triggering and Grafana for reporting. A preconfigured dashboard delivers prompt notification of any issues that may affect the overall performance of your Kubernetes cluster without your prior knowledge.

K9s: Terminal-Based UI to interact with K8s

K9s is a terminal-based UI that empowers technology teams to interact with Kubernetes clusters. K9s empower your terminal to be a visual interface for navigating your K8s cluster with granular insights. It continually monitors Kubernetes for changes and offers subsequent commands to interact with your observed resources. With K9s, teams can track resources visually, visualize namespaces, delete pods and debug deployments with just a click. It is an interactive, cutting-edge command-line interface app that makes managing multiple Kubernetes clusters easier.

Lens: The Interactive Kubernetes Platform

This GUI playground is a platform that would appeal to both beginners and experienced learners. For those who find interaction with a graphical interface appealing, the lens is the best choice for managing Kubernetes. This tool is used for managing the Kubernetes cluster. It enables teams to easily navigate the cluster, review logs, restart pods, manage AppOps and much more.

ArgoCD: GitOps for Hassle-Free App Deployment

Argo CD is a continuous delivery tool for Kubernetes. It can be used as a standalone tool or as a part of your CI/CD workflow for delivering all the needed resources that a Kubernetes cluster requires. Tired of complex deployments? ArgoCD initiates the beginning of the GitOps revolution. ArgoCD lets DevOps teams treat infrastructure and apps as Git repositories. You can easily simplify deployment, rollback and configuration management with this tool and can solve all these tasks through GitOps.

Challenges of Kubernetes Management

Listed below are some of the major challenges of managing Kubernetes. Let’s take a look!

Complexity Issues

While relatively simple and intuitive to use, the nested multi-layered nature of Kubernetes is what complicates its management and presents DevOps teams with challenges. Kubernetes comprises multiple cluster components that need to be performed and managed. They include pods, services, volumes and namespaces, each with its special function and its dependents attached to it.
One of the aspects that makes Kubernetes a complex system is the tendency of humans to fail when dealing with it. A single configuration error can cause serious issues deriving performance problems, and also, involving system crashing. This emphasizes the essence of comprehensive expertise in managing multiple Kubernetes clusters. The above-mentioned factor highlights the necessity of being well-informed and careful while deploying Kubernetes.

Networking Issues

Any system management will encounter another challenge with Kubernetes networking. Kubernetes networking is a flat network model in which all pods are in a position to communicate with each other. The inter-pod communication comes with a set up of complexities such as IP address management and load balancing.
On the other hand, network security also gets complicated within Kubernetes clusters. Network policies are to be implemented properly to maintain harmony within pods in addition to protecting them against any possibility of access from the nodes outside of the cluster.

Security Concerns

Protecting a Kubernetes cluster includes not only securing the cluster itself and the applications running on it but also other sensitive data created or stored on the cluster. Examples of such measures are RBAC, secret declarations and solid containers. The containers need to be run in a secure environment.
With Kubernetes improvements every day, its new versions are released quickly. This necessitates a scenario where security plans are always changing. These plans need to be equipped to deal with the latest security challenges and risks within a cloud-native environment.

Monitoring and Logging Issues

Monitoring and logging are critical to the long-term performance, resilience and health of the Kubernetes clusters. Upside out, various aspects and factors in Kubernetes make managing a cluster even more complicated.

[Good Read: Mastering Kubernetes]

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