AgTech
Import multiple high-scale Kubernetes Clusters into Pulumi
How we organized infrastructure management of a high-scale system in the cloud by utilizing Pulumi and standardizing environment creation
Kubernetes Consulting Service by the top 0.7% of Kubernetes experts, to help you deploy, run, and manage your workloads efficiently.
Last Updated:
February 20, 2025
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What Our Clients Say
Testimonials
Nguyen is a champ. He's fast and has great communication. Well done!
Ido Yohanan
,
Embie
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.
Tal Sherf
Tech Operation Lead
,
Optival
We were impressed with their commitment to the project.
Nir Ronen
Project Manager
,
Surpass
You guys are really a bunch of talented geniuses and it's a pleasure and a privilege to work with you.
Maayan Kless Sasson
Head of Product
,
iAngels
They are very knowledgeable in their area of expertise.
Mordechai Danielov
CEO
,
Bitwise MnM
I was impressed at how quickly they were able to handle new tasks at a high quality and value.
Joseph Chen
CPO
,
FairwayHealth
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.
Mike Ossareh
VP of Software
,
Erisyon
I was impressed with the amount of professionalism, communication, and speed of delivery.
Dean Shandler
Software Team Lead
,
Skyline Robotics
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.
David Nash
CEO
,
Gefen Technologies AI
They have been great at adjusting and improving as we have worked together.
Paul Mattal
CTO
,
Jaide Health
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.
Gil Zellner
Infrastructure Lead
,
HourOne AI
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.
Amir Zipori
VP R&D
,
Taranis
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There's an easier way
the meteorops method
Free Work Planning
Free Project Planning: We dive into your goals and current state to prepare before a kickoff.
Use the Capacity you Need
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.
Work with Pre-Vetted Experts
Monitor and Control Progress
Ad-hoc Calls: When a video call works better than a chat, we hop on a call together.
PROCESS
How it works?
FEATURES
USEFUL INFO
Kubernetes is a container orchestration tool built by Google.
It simplifies deploying, running, and configuring containers, by clustering nodes.
It's achieved by having an extensive API interface and set of tools to interact with the API interface, all meant to manage the cluster's nodes and control where and how the containers run.
It allows running a wide variety of workloads:
- StatefulSets, PersistentVolumes - for Stateful workloads
- Deployments, DaemonSets, Jobs - for Stateless workloads
- Deployments, StatefulSets & DaemonSets - for long-lived workloads
- Jobs - for short-lived workloads
- CronJobs - for periodic workloads
Kubernetes also provides resources for managing the network:
- Services - for exposing workloads using a host and a port
- Ingress Controller & Ingresses - for abstracting away services and manage complex rules
- API Gateway & Routes - similar to ingresses but more api-oriented
And finally, it provides means of configuring workloads:
- ConfigMaps - for workload configuration
- Secrets - for sensitive configuration
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
As the industry standard for container orchestration, Kubernetes has many advantages:
- Container Orchestration — Kubernetes automates the deployment, scaling, and management of containerized applications, simplifying complex workflows.
- High Availability — Kubernetes ensures that applications are always up and running by distributing container replicas across different nodes.
- Scalability — It supports both manual scaling and automatic scaling based on CPU or memory usage, catering to changing application demands.
- Load Balancing — Kubernetes can distribute network traffic to maintain stability and enhance application responsiveness.
- Self-Healing — It can detect failed containers or nodes and replace them, ensuring uninterrupted service.
- Rolling Updates & Rollbacks — Kubernetes facilitates smooth application updates and can revert to a previous stable version if needed.
- Service Discovery — Using DNS or environment variables, Kubernetes allows containers to discover and communicate with each other.
- Storage Orchestration — Kubernetes connects storage systems like local storages, cloud providers, and more, allowing you to automatically mount the storage of your choice.
- Config and Secret Management — Kubernetes can manage sensitive information like passwords, OAuth tokens, and SSH keys without re-building container images.
- Ecosystem and Community — Kubernetes is supported by a vibrant community that provides continuous updates, plugins, and integrations, ensuring the platform remains cutting-edge.
- Interface - Kubernetes has a well-documented and standardized API, making the creation of any resource more trivial, and enables automating application deployment.
Some of Kubernetes' leading competitors are Nomad, AWS ECS, and GCP Cloud Run.
They all have a rich set of abilities, but all lack the community that exists around Kubernetes.
AWS ECS and GCP Cloud Run are more well suited for running workloads on AWS and GCP accordingly, due to a wide variety of integrations with other products the Cloud providers offer, but due to the same reason they vendor-lock the system to the selected cloud.
Our experience with Kubernetes have helped us build up knowledge and tools to help our clients.
Some of the things we did include:
- Provisioned Kubernetes clusters on AWS, GCP, Azure and on-premise setups
- Implemented Kubernetes autoscaling solutions for both the nodes and for the workloads deployed on them
- Deployed and managed the lifecycle of stateless and stateful workloads using Helm
- Monitored Kubernetes clusters using Prometheus and Grafana
- Deployed and provisioned resources on Kubernetes using Pulumi and Terraform
- Implemented service mesh in multi-cluster setups with tools like Istio
- Built entire serverless architectures on top of Kubernetes using Knative
- Created, deployed, and managed cloud native applications
- Provisioned Kubernetes clusters on hybrid cloud setups, spanning across AWS, GCP, Azure, and on-prem datacenters
- Orchestrated machine learning workloads on Kubernetes using Kubeflow, Flyte, and Airflow
The experience we have building a wide variety systems on top of Kubernetes helped us gain the knowledge required to help companies build high-end Kubernetes architectures.
- Provision Kubernetes clusters using Infrastructure-as-Code tools such as Terraform and Pulumi
- Implement and utilize tools like Helm and ArgoCD to manage deployments and adopt the GitOps approach
- Review your current Kubernetes cluster and prepare a full Kubernetes state report that covers cost & utilization, resiliency & disaster recovery, security & compliance, deprecated resources, and more.
- Build a roadmap for improving your existing Kubernetes setup with a detailed plan for implementation
- Deploy, monitor, and manage the life-cycle of workloads on Kubernetes
- Adopt best practices and industry-standard tools to manage Kubernetes
- Improve resource utilization using tools like Cluster-Autoscaler, Karpenter, KEDA, HPA, and VPA.
