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Testimonials
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.
Nguyen is a champ. He's fast and has great communication. Well done!
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
I was impressed with the amount of professionalism, communication, and speed of delivery.
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.
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.
They are very knowledgeable in their area of expertise.
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.
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.
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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?
Karpenter, an innovative Kubernetes cluster autoscaler developed by AWS, is revolutionizing how businesses manage their Kubernetes workloads. With its unique ability to rapidly adjust computing resources, Karpenter efficiently scales up or down based on real-time demands, ensuring optimal performance and cost-effectiveness. This cutting-edge tool stands out in the cloud computing sphere for its flexibility in handling heterogeneous clusters, adapting to various instance types and sizes. As businesses increasingly look for solutions to manage fluctuating workloads efficiently, Karpenter's significance in the tech industry is rising, making it a critical keyword for SEO strategies focused on cloud computing, Kubernetes, and cost-efficient infrastructure management. Engaging content around Karpenter not only educates readers about its advanced features and benefits but also drives targeted traffic to websites specializing in modern cloud solutions and Kubernetes management.
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
- Karpenter automates the provisioning and scaling of Kubernetes clusters
- Optimizes cluster costs by efficiently matching workload demands with the most suitable resources
- Supports multiple cloud providers, enhancing flexibility across environments
- Rapidly adjusts cluster sizes in response to application needs, improving performance
- Simplifies cluster management and reduces manual intervention
Our experience with Karpenter helped us build practical patterns, automation, and guardrails that we re-used across client engagements to improve Kubernetes cost efficiency and utilization without sacrificing reliability.
Some of the things we did include:
- Designed and implemented Karpenter provisioning strategies (node pools, instance selection, and constraints) to right-size clusters for mixed workloads and reduce waste.
- Integrated Karpenter with Amazon EKS and AWS IAM/IRSA to ensure secure, least-privilege operation and predictable node lifecycle behavior.
- Hardened scheduling behavior by aligning Karpenter with Kubernetes requests/limits, taints/tolerations, topology spread, and disruption controls to keep SLO-sensitive services stable during scale events.
- Built cost-optimized capacity mixes using Spot and On-Demand, including fallback rules and interruption handling to keep critical services available during volatility.
- Implemented observability for scaling decisions and node churn using Prometheus metrics and actionable dashboards/alerts for platform teams.
- Automated Karpenter configuration delivery via GitOps and CI/CD, including policy checks and environment promotion workflows for dev/stage/prod.
- Validated performance and scaling behavior with load tests, then tuned consolidation and disruption budgets to reduce unnecessary node rotations.
- Standardized cluster add-ons and node bootstrap practices to ensure new capacity came online consistently (networking, DNS, logging, and security agents).
- Created runbooks and trained engineering teams on safe rollout practices, troubleshooting, and ongoing cost governance.
This experience helped us accumulate significant knowledge across multiple Karpenter use-cases—from cost optimization to reliability-focused autoscaling—and enables us to deliver high-quality Karpenter setups that are maintainable, observable, and aligned with real production constraints.
Some of the things we can help you do with Karpenter include:
- Assess your current Kubernetes autoscaling and node provisioning setup and deliver a prioritized findings report with quick wins.
- Create an adoption roadmap for Karpenter that aligns workload requirements, SLOs, and cost targets across environments.
- Implement and productionize Karpenter with repeatable node pools, scheduling constraints, and disruption policies.
- Define security and compliance guardrails for node provisioning (IAM boundaries, image/AMI controls, network policies, and least-privilege access).
- Optimize cost and performance through right-sizing, instance selection strategies (on-demand/spot), and workload-aware scaling policies.
- Automate Karpenter configuration and cluster changes using Infrastructure as Code and GitOps workflows (e.g., Terraform).
- Instrument autoscaling behavior with metrics, logs, and alerts to improve reliability and reduce scaling-related incidents.
- Troubleshoot scheduling, consolidation, and capacity issues to stabilize workloads and shorten time-to-recovery.
- Enable your platform and application teams with hands-on training, runbooks, and operational playbooks for day-2 operations.
