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Testimonials
Nguyen is a champ. He's fast and has great communication. Well done!
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.
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.
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
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.
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.
We were impressed with their commitment to the project.
They have been great at adjusting and improving as we have worked together.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
They are very knowledgeable in their area of expertise.
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❌
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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 platform and DevOps teams to standardize how services are deployed, scaled, and updated across development and production environments, especially for microservices and API-driven applications.
EKS integrates with core AWS services for identity, networking, and observability, and is typically used as part of a CI/CD workflow where container images are built, scanned, and deployed to Kubernetes clusters with controlled rollouts.
- Provision and manage Kubernetes clusters across AWS accounts and regions
- Support rolling updates and blue/green-style deployments for application releases
- Integrate with IAM, VPC networking, and load balancing for secure access
- Enable autoscaling for workloads and compute capacity based on demand
- Centralize logging and monitoring through AWS-native observability tooling
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 repeatable patterns, automation, and operational runbooks that we used to design, implement, and harden managed Kubernetes platforms on AWS for client teams.
Some of the things we did include:
- Designed AWS EKS reference architectures (multi-account, multi-AZ, private cluster options) and implemented consistent cluster baselines across dev/stage/prod environments.
- Provisioned clusters with infrastructure as code and standardized add-ons (CoreDNS, VPC CNI, metrics-server), including node group strategies for mixed workloads (on-demand/spot, GPU, and burst capacity).
- Automated application delivery to EKS with GitOps and CI/CD pipelines, integrating GitHub Actions for build/test and progressive rollout patterns (blue/green and canary) with fast rollback.
- Implemented observability for EKS workloads using Prometheus and Grafana, including SLO-driven dashboards, alert routing, and capacity signals for node and pod autoscaling.
- Hardened cluster security with IAM Roles for Service Accounts (IRSA), least-privilege RBAC, network policies, image scanning gates, and policy controls aligned to common compliance requirements.
- Built upgrade and lifecycle processes for EKS (control plane and node upgrades), including pre-flight checks, add-on compatibility validation, and change windows designed to minimize downtime.
- Optimized performance and cost by tuning requests/limits, implementing Cluster Autoscaler/Karpenter-style scaling approaches, rightsizing nodes, and reducing noisy-neighbor issues with taints, tolerations, and topology spread.
- Designed ingress and traffic management patterns (ALB/NLB, TLS termination, external-dns-style automation) and standardized service exposure for internal and internet-facing workloads.
- Implemented backup and recovery workflows for stateful services, including persistent volume strategies, restore testing, and DR runbooks for critical namespaces and platform components.
- Delivered enablement for client teams through hands-on workshops, operational playbooks, and on-call support improvements focused on day-2 operations.
This experience helped us accumulate significant knowledge across multiple AWS EKS use-cases—from greenfield platform builds to migrations and day-2 operations—and enables us to deliver high-quality AWS EKS setups that are secure, observable, and maintainable for client teams.
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.
