AWS EKS consulting and hands-on support

AWS EKS (Amazon Elastic Kubernetes Service) is a managed Kubernetes service on AWS that helps teams run containerized applications without operating the Kubernetes control plane themselves. It is commonly used by DevOps, platform, and application engineering teams to standardize deployment across environments, support microservices architectures, and scale workloads reliably on AWS infrastructure.

EKS clusters typically run across multiple Availability Zones and integrate with AWS networking and identity services, making it well-suited for production platforms where security, upgrades, and day-2 operations matter. For a broader view of Kubernetes concepts and best practices, see Kubernetes documentation.

• Managed Kubernetes control plane with upstream Kubernetes compatibility
• Support for worker nodes on Amazon EC2 and serverless pods with AWS Fargate
• Integration with IAM, VPC networking, and load balancing for secure access and traffic routing
• Cluster upgrades and version management aligned to AWS operational tooling
• Commonly paired with CI/CD pipelines to automate builds, deployments, and rollbacks

AWS EKS (Amazon Elastic Kubernetes Service) is a managed Kubernetes offering on AWS that provides upstream-compatible APIs while offloading control plane operations. It is commonly used to standardize container orchestration, improve cluster reliability, and integrate Kubernetes with AWS security and networking primitives.

• Managed control plane reduces operational burden for etcd, API server availability, and Kubernetes patching and upgrades.
• Multi-AZ control plane design improves resilience and simplifies meeting high availability requirements.
• AWS IAM integration supports centralized authentication and authorization, including least-privilege pod access via IAM Roles for Service Accounts (IRSA).
• VPC-native networking with the Amazon VPC CNI assigns routable IPs to pods and aligns pod traffic with subnet and security group controls.
• Flexible compute options support EC2 managed node groups and AWS Fargate for workloads that benefit from reduced node management.
• Autoscaling supports workload scaling with HPA and cluster capacity scaling with Cluster Autoscaler or Karpenter.
• Managed add-ons help standardize and maintain core components like CoreDNS, kube-proxy, and the VPC CNI to reduce configuration drift.
• Security features include private cluster endpoints, envelope encryption with AWS KMS, and audit logging for compliance and investigation workflows.
• Observability integrates with CloudWatch and supports OpenTelemetry-based instrumentation for metrics, logs, and traces.
• Ecosystem compatibility preserves portability across environments using standard Kubernetes manifests, controllers, and GitOps tooling.

AWS EKS is a strong fit for microservices platforms, internal developer platforms, and batch or data workloads that benefit from Kubernetes scheduling and policy controls. Trade-offs include higher operational complexity than simpler container services and costs tied to worker nodes, networking, and add-ons, so smaller or low-change workloads may be better served by lighter-weight options.

Common alternatives include Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), and self-managed Kubernetes on EC2. For operational guidance, see EKS Best Practices.

Our experience with AWS EKS helped us develop repeatable platform patterns, automation, and operational guardrails for running production Kubernetes on AWS, so teams could ship confidently while improving reliability, security, and cost control.

Some of the things we did include:

• Designed EKS foundations aligned to enterprise constraints, including VPC/subnet strategy, private cluster endpoints, controlled egress, and multi-AZ networking for high availability.
• Standardized cluster provisioning and upgrades with Infrastructure as Code, including opinionated defaults, environment parity, version pinning, and tested upgrade/rollback runbooks.
• Implemented GitOps delivery on EKS with Argo CD, including multi-environment promotion, drift detection, and safe rollout patterns for critical services.
• Built CI/CD pipelines with GitHub Actions to build, scan, sign, and deploy container images to EKS with approvals and traceable release metadata.
• Hardened clusters using least-privilege RBAC, IAM Roles for Service Accounts (IRSA), Pod Security standards, network policies, and admission controls to enforce baseline security.
• Established observability with Prometheus and Grafana, including SLO dashboards, actionable alerting, and incident runbooks tied to on-call workflows.
• Standardized ingress and service exposure patterns (ALB/NLB, internal vs public routing), TLS automation, and DNS workflows so service publishing was consistent and auditable.
• Improved reliability with pod disruption budgets, topology spread constraints, node maintenance procedures, and backup/restore processes for critical namespaces and stateful workloads.
• Optimized performance and cost by tuning managed node groups, autoscaling strategies (including Karpenter where appropriate), and workload requests/limits to reduce waste and improve scheduling outcomes.
• Migrated workloads from self-managed Kubernetes and legacy VM deployments to EKS using phased cutovers, validation gates, and downtime-minimizing rollout plans.

This hands-on delivery work helped us accumulate significant knowledge across multiple AWS EKS use-cases, and it enables us to deliver high-quality AWS EKS setups that are maintainable, secure, and straightforward for teams to operate.

Some of the things we can help you do with AWS EKS include:

• Assess your current EKS clusters and Kubernetes posture and deliver a prioritized report across reliability, security, operability, and cost.
• Define an adoption or migration roadmap covering cluster strategy, networking, identity and access, multi-account layout, and team operating model.
• Design and implement production-ready EKS platforms with Infrastructure as Code, including VPC/subnet layout, node groups, IAM/RBAC, add-ons, and upgrade-safe baselines.
• Standardize application delivery using CI/CD and GitOps workflows for repeatable deployments and controlled promotion across environments.
• Implement security and compliance guardrails with least-privilege IAM, Kubernetes RBAC, network policies, secrets management, and image scanning.
• Establish end-to-end observability (metrics, logs, traces, dashboards, alerting) to reduce MTTR and improve on-call effectiveness.
• Optimize cost and performance with autoscaling, right-sizing, capacity planning, and scheduling best practices for mixed workloads.
• Troubleshoot and remediate EKS issues across networking, DNS, ingress, storage, and scaling with durable fixes and actionable runbooks.
• Enable your engineers through hands-on training, pairing, and documentation so teams can confidently operate and extend EKS.

Learn more at Amazon EKS.