Kubernetes Management with Amazon EKS

Kubernetes management is the process of administering your Kubernetes clusters, their node fleets, and their workloads. Organizations seeking to use Kubernetes at scale must understand effective management strategies so they can successfully operate containerized applications without sacrificing observability, security, and control.

Amazon’s Elastic Kubernetes Service (EKS) is one of the most popular ways to deploy Kubernetes. It’s a managed service that automates key cluster provisioning and maintenance tasks on the AWS platform, relieving you of most of the complexity associated with manual cluster creation.

This article will explain some of the main benefits of using EKS for Kubernetes operations. We’ll then show how Rafay’s platform can enhance your EKS experience by orchestrating cluster management, real-time monitoring, and team collaboration.

Kubernetes Cluster Management Challenges

Kubernetes is supposed to simplify cloud-native operations. It’s a compelling system for deploying and scaling containers in distributed environments. Yet managing Kubernetes itself is frequently complex, necessitating mastery of a steep learning curve to ensure your clusters are observable, secure, and accessible to developers.

Commonly encountered problems include:

• Hard to see what’s deployed: It can be unclear which resources are running in a cluster, who created them, and whether they’re still required.
• Unpredictable cluster utilization: It’s often difficult to accurately assess cluster utilization or understand whether you can optimize allocation of CPU, memory, and storage resources.
• Difficulty enforcing security constraints: Kubernetes includes several security mechanisms such as RBAC, network policies, and Pod admission controllers, but these can be complicated to correctly configure.
• Challenges when working with multiple clusters: Multi-cluster Kubernetes management is error-prone because configuration policies and user identities must be manually replicated in each cluster. This impedes visibility and can lead to oversights that cause compliance breaches.
• Scalability problems: The prospect of near-infinite scaling is arguably the main benefit of Kubernetes, but in practice many teams struggle to provision new nodes when they’re required, or waste resources when node fleets aren’t scaled back after demand subsides.
• Integration issues: Without a robust management layer, it can be impractical to integrate Kubernetes with other tools and technologies used in your software delivery process. Exposing direct access to your clusters and cloud accounts is always a potential security risk.

Addressing these issues via an effective management strategy is a crucial step in guaranteeing the reliable operation of your clusters and their workloads. Manually provisioning clusters—whether with Kubeadm or a distribution like Minikube—makes you responsible for configuring management controls, whereas EKS provides a much simpler experience that you can control through your AWS account.

The Benefits of Using Amazon EKS

EKS is a managed Kubernetes service that lets you operate clusters without having to directly create or maintain the control plane and worker nodes. When you start an EKS cluster, AWS automatically provisions a managed Kubernetes control plane server. You can add worker nodes by selecting from any of the available EC2 instance types.

EKS clusters are certified as being fully compatible with upstream Kubernetes. All documented Kubernetes functionality will work as expected, including any third-party ecosystem tools you connect to your clusters. EKS also directly integrates with other AWS services such as IAM, ECR, and CloudWatch so you can manage your clusters using the same methods you rely on for your other infrastructure.

Benefits of using Amazon EKS over self-managed Kubernetes include:

• Automated control plane provisioning: AWS provisions and manages the control plane on your behalf, reducing operational complexity.
• Dynamically scale worker nodes: You can easily scale your cluster with new nodes at any time, using the EKS dashboard or API.
• Easily combine different worker instance types: EKS lets you select from any of the instance types offered by the AWS EC2 cloud computing service. You can mix and match different instances to get the right combination of performance and cost efficiency for your workloads.
• Integrated observability: You can access logs and audit events from your EKS clusters within AWS CloudWatch and CloudTrail, enabling you to monitor key events without installing additional tools.
• Simple Kubernetes version upgrades: EKS automates the Kubernetes upgrade process so you can easily transition to new releases.
• Option of running EKS clusters on-premises: Although EKS is primarily known as a fully-managed cloud solution, the EKS Anywhere service permits you to also run clusters on-premises. It deploys instances of Amazon’s EKS Distro Kubernetes distribution right alongside your existing infrastructure.

Using EKS simplifies your Kubernetes experience, but there’s still room to make further improvements. Many common Kubernetes management challenges affect EKS too because it’s difficult to maintain consistent configuration and achieve unified visibility when you’re running multiple clusters. In addition, although EKS supports AWS IAM roles, it’s still designed to be accessed by DevOps operators—you’ll need other tools to efficiently set up multi-tenant self-service workflows that developers can use.

Enhancing Kubernetes Management with Rafay and Amazon EKS

Rafay is an enterprise-grade PaaS solution that provides a management layer for your EKS clusters. Rafay’s platform allows you to solve your Kubernetes management challenges through deep integration with EKS. It delivers “single pane of glass” visibility, centralized monitoring, and full zero-trust access control.

Rafay’s features include:

• Centralized multi-cluster management: Rafay lets you manage your entire EKS cluster fleet using one platform. You can effortlessly interact with clusters, regardless of the AWS region or availability zone they reside in.
• Multi-tenant self-service workflows: Rafay allows you to implement self-service access workflows using the namespace, virtual cluster, and workspace models. This permits you to safely open EKS cluster access to developers.
• Consistent cluster provisioning via blueprints: Rafay helps you maintain consistency between different clusters through its blueprints mechanism. You can use blueprints to create new cluster instances from predefined templates.
• Zero-trust security and governance: Rafay enables zero-trust cluster security protection. The platform fully supports SSO authentication, RBAC, and AWS IAM roles to robustly control identities and their cluster access levels.
• Robust automation, integration, and orchestration options: You can automate interactions with your cluster fleet using Rafay’s comprehensive REST API. Rafay also provides a dedicated CLI that devs and operators can use to efficiently interact with Kubernetes resources.
• Real-time monitoring and alerts: With Rafay you can continually monitor your EKS clusters using one unified interface. Rafay includes detailed dashboards for visualizing cluster activity and can notify you when important events occur.

Rafay’s EKS integration is quick and easy to enable. You can simply provide your AWS credentials as an access key or IAM role, then start provisioning new EKS clusters from the Rafay CLI or web dashboard. If you’ve already got existing EKS clusters, you can connect them too by using the automated import flow to deploy Rafay’s in-cluster Operator.

Once you’re up and running, Rafay equips you to manage your EKS clusters consistently and predictably. You can easily provision new node groups, adjust scaling settings, check spending, and apply cost optimizations. Rafay can handle your workloads too, including built-in support for enabling automated GitOps-powered deployment pipelines.

Practical Tips for Optimizing Your Amazon EKS Cluster Management Experience

As we’ve outlined above, EKS removes some key pain points from Kubernetes management, but it’s not pitfall-free. The following tips and best practices will help you elevate your experience so you can confidently operate your clusters and their workloads.

• Keep your clusters updated: This ensures you can access the latest Kubernetes features and avoid any security issues.
• Enable auto-scaling: Cluster auto-scaling means new nodes will be automatically added when resource utilization increases. This ensures stable performance and reduces the workload faced by cluster operators.
• Review cluster networking options: EKS clusters natively integrate with your AWS VPC networks. They’ll respect VPC routing policies and traffic isolation security groups. Review the EKS documentation to learn how to customize how nodes and Pods connect.
• Understand the EKS security model: EKS takes a Shared Responsibility approach to security. Amazon is responsible for securing your cluster’s managed control plane, but you must take action to protect the Pods, networking routes, storage volumes, and other resources you deploy.
• Regularly monitor cluster costs: The ease with which EKS lets you provision new cluster resources can result in bills quickly growing to unexpected proportions. Use the built-in integration with the AWS Billing Console and Cost Explorer to catch spending increases before they derail your bill, or try dedicated tools like Kubecost and Rafay to obtain even more detailed usage reports.
• Use Rafay to unify multi-cluster EKS management: Rafay gives you a single integrated platform to work with all your EKS clusters, including every AWS cloud region and on-premises EKS Distro instances. You can ensure consistent configuration, set up self-service workflows, and centrally manage cluster metrics, logs, and audit trails. Rafay makes EKS manageable at scale, freeing up more time for you to focus on operating your cluster’s workloads.

These steps are a good starting point for EKS management improvements, but they’re not an exhaustive list of best practices. You can find more detailed strategy suggestions in our separate guide to optimizing Amazon EKS for advanced configuration, scalability, and cost management.

Recap: Use Rafay and Amazon EKS to Simplify Kubernetes Cluster Management

We’ve explored how Amazon EKS supports your Kubernetes operations at scale by providing a managed control plane and seamless integration with other AWS resources. Kubernetes management is a complex topic, but with the right tools you can efficiently administer your environments even when multiple clusters, teams, and projects are involved.

Rafay’s Amazon EKS solution lets you securely interact with all your EKS clusters—across every AWS region—from within a single unified interface. You can effortlessly start new clusters, provision additional nodes, and grant team members access to relevant resources. Rafay’s zero-trust security model empowers you to operate your clusters with confidence, at enterprise scale, using simple self-service workflows.

Ready to give Rafay a go? Start for free or request a demo to check out how our platform streamlines Kubernetes management. If you’re still unsure whether EKS is right for you, then try reading our comparison between EKS and self-managed Kubernetes to learn more about the solution’s benefits.