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Kubernetes and Amazon EKS Consulting

CodetoKloud designs, migrates, secures, and manages production Kubernetes on Amazon EKS, GitOps with ArgoCD, Helm, autoscaling, observability, and cost optimization from an AWS Advanced Tier Partner.

Amazon EKS operating model with controlled ingress, private Multi-AZ workloads, Argo CD and Helm GitOps, IAM and RBAC, autoscaling, observability, cost visibility, and backup and recovery
AWS Advanced Tier Services PartnerAWS Advanced Tier Partner★ 4.9/5 on Clutch (9 reviews)Replies within 1 business day

What is Kubernetes consulting?

Kubernetes consulting is expert help designing, deploying, securing, and operating Kubernetes, the platform that automates running containerized applications at scale. CodetoKloud, an AWS Advanced Tier Partner, provides Kubernetes consulting on Amazon EKS: cluster design, GitOps delivery, autoscaling, observability, cost optimization, and ongoing managed operations.

Whether you are launching your first cluster, migrating existing workloads to Amazon EKS, or trying to control a Kubernetes bill that is growing faster than your traffic, we bring the production experience to improve the operating model and implement technical controls for regulated workloads where required.

Our Kubernetes & Amazon EKS Services

End-to-end Kubernetes engineering, from first cluster to day-2 operations, built on Amazon EKS.

Amazon EKS Cluster Design

We architect Amazon EKS clusters with managed node groups, private networking, and separate development, staging, and production environments. The design integrates AWS IAM, VPC networking, CloudWatch, and the operating controls your team needs.

GitOps Delivery with ArgoCD

We implement GitOps with ArgoCD so your cluster's desired state lives in Git and syncs automatically. Every change is versioned, reviewable, and auditable. On one client pipeline this reduced manual deployment effort by 80% and made releases 50% faster.

Helm Packaging & Releases

We package applications as Helm charts to manage configuration, versioning, and repeatable releases across environments, making deployments consistent, easy to roll back, and simple for your team to maintain.

Autoscaling & HPA

We tune horizontal pod autoscaling, cluster autoscaling, and modern autoscalers like Karpenter so your workloads scale with demand and you only pay for the capacity you use.

Observability & Monitoring

We add full observability with Prometheus, Grafana, Datadog, and CloudWatch, metrics, logs, traces, dashboards, and alerting, so you catch issues early and keep mean time to recovery low.

Kubernetes Cost Optimization

We reduce Kubernetes spend by right-sizing pod requests, tuning node groups, using Spot capacity, and consolidating idle workloads. On a healthcare EKS migration this approach cut cloud costs by roughly 35%.

Security & DevSecOps Hardening

We harden clusters with least-privilege RBAC, IAM roles for service accounts, network policies, encrypted secrets, image scanning, and continuous monitoring. These controls can support the technical scope of SOC 2, HIPAA, and PCI DSS programs on AWS.

Migrations to EKS

We migrate applications from virtual machines, on-premises servers, or other container platforms to Kubernetes on Amazon EKS, including containerization, CI/CD, and low-downtime cutover. A recent migration cut API latency from 850ms to 320ms.

Managed Day-2 Operations

We run ongoing Kubernetes operations, version and node upgrades, patching, monitoring, autoscaling tuning, incident response, and disaster recovery, so your platform stays secure, current, and reliable after launch.

EKS vs ECS vs Fargate: Which Should You Use?

The three main ways to run containers on AWS, and when each fits. Not sure which is right for your workload? We help teams choose.

OptionWhat it isBest for
Amazon EKSManaged Kubernetes on AWS, with the full Kubernetes ecosystem (Helm, ArgoCD, operators).Portability, complex or growing platforms, teams standardizing on Kubernetes.
Amazon ECSAWS-native container orchestrator that is simpler than Kubernetes to adopt and operate.Straightforward workloads, smaller teams, faster time to production on AWS.
AWS FargateServerless compute for containers, runs EKS or ECS pods without managing servers.Removing node management, variable or spiky workloads, minimizing ops overhead.

Engineering guides

AI guidance for Kubernetes delivery and operations

Use AI to assist with evidence, review, and troubleshooting while GitOps, policy checks, limited identities, and production approvals constrain the blast radius.

How AI is changing DevOps

Separate faster task completion from delivery outcomes, then measure the added change volume, review demand, risk, and operating cost.

Read the guide

Reviewing AI-generated infrastructure as code

Use deterministic validation, policy checks, plan review, approval gates, staged deployment, and rollback for Terraform and Kubernetes changes.

Read the guide

AI for cloud and Kubernetes incident response

Start with evidence gathering and recommendations, then define the production actions that still require explicit human approval.

Read the guide

Securing AI coding agents in CI/CD

Limit agent permissions, protect secrets, isolate execution, enforce deterministic security checks, and retain a human production gate.

Read the guide

Review your Kubernetes operating model

Tell us about your clusters, cloud spend, and operating concerns. We will confirm fit within one business day and use a focused 30-minute review to identify three practical priorities.

Book a Kubernetes readiness review

Kubernetes & Amazon EKS FAQs

Common questions about Kubernetes and EKS consulting, migration, cost, and security.

What is Kubernetes and why do businesses use it?

Kubernetes is an open-source platform that automates the deployment, scaling, and management of containerized applications. Businesses use it to run applications reliably across many servers, scale automatically with demand, recover from failures without downtime, and ship updates safely. CodetoKloud designs and operates production Kubernetes clusters for companies that need this level of scalability and resilience.

What is Amazon EKS and when should you use it?

Amazon EKS (Elastic Kubernetes Service) is AWS's managed Kubernetes service, which runs the Kubernetes control plane for you so your team focuses on applications instead of cluster infrastructure. It is the right choice when you want Kubernetes on AWS with deep integration into services like IAM, VPC networking, and CloudWatch. As an AWS Advanced Tier Partner, CodetoKloud specializes in EKS cluster design, managed node groups, and day-2 operations.

What does CodetoKloud's Kubernetes consulting include?

CodetoKloud's Kubernetes consulting covers cluster architecture and setup on Amazon EKS, GitOps delivery with ArgoCD, Helm-based application packaging, horizontal and cluster autoscaling, observability with Prometheus, Grafana, Datadog, and CloudWatch, cost optimization, security hardening, and ongoing managed operations including version upgrades and disaster recovery.

EKS vs ECS vs Fargate, which should we use?

Amazon EKS is best when you need full Kubernetes portability, a rich ecosystem (Helm, ArgoCD, operators), or already run Kubernetes elsewhere. Amazon ECS is a simpler AWS-native container orchestrator that is faster to adopt for straightforward workloads. AWS Fargate is a serverless compute engine that runs containers for either EKS or ECS without managing servers. CodetoKloud helps teams choose based on portability needs, team skills, and operational overhead, and has delivered both ECS and EKS platforms in production.

How do you reduce Kubernetes and EKS costs?

CodetoKloud reduces Kubernetes costs by right-sizing pod requests and limits, tuning cluster autoscaling and node groups, using Spot instances and modern autoscalers like Karpenter, consolidating underused workloads, and adding cost visibility. On a healthcare workload migrated to Amazon EKS, this approach cut cloud costs by roughly 35% while improving reliability.

How do you secure a Kubernetes cluster?

CodetoKloud secures Kubernetes clusters using private networking, least-privilege RBAC and IAM roles for service accounts, network policies, encrypted secrets management, image vulnerability scanning, and continuous monitoring. This DevSecOps approach lets clusters support regulated workloads, including SOC 2, HIPAA, and PCI DSS requirements on AWS.

What is GitOps and do you use ArgoCD?

GitOps is a delivery model where the desired state of your Kubernetes environment is stored in Git and automatically synced to the cluster, so every change is versioned, reviewable, and auditable. CodetoKloud implements GitOps with ArgoCD and Helm. On one client pipeline, this reduced manual deployment effort by 80% and made releases 50% faster.

Can you migrate our applications to Kubernetes or Amazon EKS?

Yes. CodetoKloud plans and executes migrations from virtual machines, on-premises servers, or other container platforms to Kubernetes on Amazon EKS, including containerization, Helm packaging, CI/CD and GitOps setup, and cutover with minimal downtime. A recent EKS migration cut API latency from 850ms to 320ms and reached 99.7% uptime.

Can Kubernetes run HIPAA or SOC 2 compliant workloads?

Kubernetes can support regulated workloads when the cluster is configured with private networking, encryption, access controls, audit logging, and monitoring. CodetoKloud implements these technical safeguards on Amazon EKS for healthcare and other regulated teams. HIPAA and SOC 2 readiness also depends on organizational policies, operating procedures, risk management, and independent legal or audit review.

Do you provide ongoing Kubernetes management and upgrades?

Yes. CodetoKloud offers managed day-2 Kubernetes operations, including cluster and node version upgrades, patching, monitoring and alerting, autoscaling tuning, incident response, and disaster recovery, so your platform stays secure, current, and reliable after the initial build.