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Testimonials
From my experience, working with MeteorOps brings high value to any company at almost any stage. They are uncompromising professionals, who achieve their goal no matter what.
They have been great at adjusting and improving as we have worked together.
Nguyen is a champ. He's fast and has great communication. Well done!
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
I was impressed with the amount of professionalism, communication, and speed of delivery.
They are very knowledgeable in their area of expertise.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
Working with MeteorOps was exactly the solution we looked for. We met a professional, involved, problem solving DevOps team, that gave us an impact in a short term period.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
We were impressed with their commitment to the project.
We got to meet Michael from MeteorOps through one of our employees. We needed DevOps help and guidance and Michael and the team provided all of it from the very beginning. They did everything from dev support to infrastructure design and configuration to helping during Production incidents like any one of our own employees. They actually became an integral part of our organization which says a lot about their personal attitude and dedication.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope.
I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
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❌
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Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Pay-as-you-go: Use our capacity when you need it, none of that retainer nonsense.
Experts On-Demand: Get new experts from our team when you need specific knowledge or consultation.
We Don't Sleep: Just kidding we do sleep, but we can flexibly hop on calls when you need.
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
How it works?
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
Orchestration systems decide where and when workloads run on a cluster of machines (physical or virtual). On top of that, orchestration systems usually help manage the lifecycle of the workloads running on them. Nowadays, these systems are usually used to orchestrate containers, with the most popular one being Kubernetes.
There are many advantages to using Orchestration tools:
- Improve the utilization of CPU, memory, and storage usage by running many processes on a single machine
- Manage the entire lifecycle of the orchestrated workloads: pre & post initialization & termination
- Control the scale of workloads and the scale of their underlying infrastructure separately
- Centralized management of workloads and infrastructure
AWS EKS is a managed Kubernetes control plane on AWS used to run containerized workloads with Kubernetes APIs while reducing cluster management overhead. It is typically chosen when teams want Kubernetes portability with deep integration into AWS networking, security, and observability.
- Managed control plane reduces operational work for etcd, API server availability, and Kubernetes version upgrades.
- Native AWS integration supports VPC networking, IAM-based access control, and AWS service connectivity patterns.
- Flexible compute options run workloads on EC2, managed node groups, self-managed nodes, or AWS Fargate for serverless pods.
- High availability options support multi-AZ clusters and resilient control plane operation across Availability Zones.
- Security controls align with AWS primitives using IAM roles for service accounts (IRSA), security groups, and KMS encryption.
- Scalability features pair Kubernetes autoscaling with EC2 Auto Scaling and Cluster Autoscaler or Karpenter.
- Observability integrations work with Amazon CloudWatch, Container Insights, and managed logging/metrics pipelines.
- Load balancing and ingress options integrate with AWS Load Balancer Controller for ALB/NLB-based traffic management.
- Storage support includes Amazon EBS and Amazon EFS CSI drivers for persistent volumes with familiar AWS lifecycle management.
- Standards-based Kubernetes APIs improve portability and reduce vendor lock-in compared to proprietary orchestration platforms.
EKS fits best for teams already standardized on AWS that need Kubernetes for microservices, internal platforms, or ML/AI workloads. Trade-offs include added complexity compared to simpler PaaS options, ongoing responsibility for node, add-on, and workload operations, and potential cost overhead versus lighter-weight orchestrators.
Common alternatives include Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), Red Hat OpenShift, and self-managed Kubernetes on EC2.
Our experience with AWS EKS helped us build practical patterns, automation, and runbooks that we reuse to deliver stable Kubernetes platforms on AWS across different team sizes and compliance requirements.
Some of the things we did include:
- Designed and implemented production AWS EKS cluster architectures (multi-AZ, private networking, and controlled egress) aligned with reliability and security requirements.
- Standardized cluster provisioning with Infrastructure as Code (Terraform and AWS CDK) and repeatable environments for dev/stage/prod, including upgrade and rollback procedures.
- Built GitOps-based deployments with Argo CD, including app-of-apps patterns, promotion workflows, and drift detection for EKS workloads.
- Implemented CI/CD pipelines in GitHub Actions to build, scan, and deploy container images, with environment approvals and automated release notes.
- Set up observability for EKS using Prometheus and Grafana, including SLO dashboards, alert routing, and actionable runbooks for on-call teams.
- Hardened clusters with RBAC, IAM Roles for Service Accounts (IRSA), network policies, secrets management, and admission controls to enforce baseline security policies.
- Optimized cost and performance by tuning node groups, Cluster Autoscaler/Karpenter strategies, right-sizing workloads, and improving resource requests/limits to reduce waste.
- Implemented ingress and service exposure patterns (ALB/NLB), TLS management, and DNS automation for internal and public services.
- Planned and executed migrations from self-managed Kubernetes and legacy VM-based deployments to EKS with minimal downtime, including phased cutovers and validation checks.
- Improved reliability with disruption budgets, topology spread constraints, backup/restore processes, and DR-ready configurations for critical namespaces and data services.
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 easy for teams to operate.
Some of the things we can help you do with AWS EKS include:
- Assess your current Kubernetes/EKS setup and deliver a prioritized review report covering reliability, security, and operability gaps.
- Create an EKS adoption roadmap (or migration plan) aligned to your application portfolio, environments, and delivery timelines.
- Design and implement production-ready EKS clusters, networking, and node strategies (managed node groups, autoscaling, and multi-AZ resilience).
- Automate cluster and workload provisioning using infrastructure as code and GitOps-friendly workflows to improve repeatability and auditability.
- Build CI/CD pipelines for containerized deployments with safe rollout strategies, environment promotion, and policy checks.
- Implement security and compliance guardrails, including IAM/RBAC, network policies, secrets management, and image scanning practices.
- Set up observability (metrics, logs, traces) and actionable alerting to reduce MTTR and improve on-call readiness.
- Optimize cost and performance through right-sizing, cluster autoscaler tuning, capacity planning, and workload scheduling best practices.
- Troubleshoot and remediate reliability issues such as failed deployments, scaling bottlenecks, and networking/DNS problems.
- Enable your teams with hands-on training, runbooks, and operating procedures for day-2 EKS operations and continuous improvement.
