GCP/GKE DevOps Engineer for Virtualization Project

@Shrutibimpl

Hello, I can design deploy and optimize your GCP and GKE infrastructure to host your thirty six concurrent OS sessions across six scenarios. My plan is to provision the GCP VPC subnets firewall rules and GKE cluster using Terraform. I can evaluate KubeVirt versus Google Compute Engine to select the best virtualization model for running full Windows or Linux OS sessions on GKE. I can configure session isolation using Kubernetes namespaces RBAC policies and network policies. I can set up Google Cloud Load Balancing and Kubernetes Ingress for secure user session routing. For storage I can configure Google Cloud Storage buckets for backups alongside persistent disks for session state data. I can also write Python or Bash automation scripts to handle dynamic OS session provisioning startup and shutdown while setting up Cloud Monitoring Prometheus and Grafana for resource tracking. 1) Do your target OS sessions require full Windows desktop environments or light Linux OS instances? 2) Should we enable nested virtualization on GKE node pools to run KubeVirt or route session requests directly to GCE instances? 3) What remote desktop protocol such as RDP WebRTC or VNC will users utilize to connect to these OS sessions? Thanks, Bharat

@eternitech

Hi, New on Freelancer — 20 years of development experience behind us. We're taking our first few projects here at a fraction of our normal rate purely to build our review history. You get senior agency work at junior pricing; we get a review. Straight trade. integrating Terraform with GKE can often reveal hidden inefficiencies in resource allocation if not meticulously configured. Initially, I'd assess your current cloud networking setup to ensure optimal VM deployment. Can you provide access to your GCP console so I can start the evaluation?

@Rishi5134

The 36 concurrent OS session requirement with proper isolation between scenarios is the interesting part here — that's where most engineers get the architecture wrong. Running full OS sessions on GKE means you're basically choosing between KubeVirt for true VM-level isolation or heavily constrained containers with namespace separation, and the right call depends on whether these sessions need persistent state between runs or spin up fresh each time. Did something similar for Immutaverse — built the full AWS infra from scratch with ECS, Blue/Green deployments, auto scaling, and EventBridge-driven automation. Different cloud, same kind of "needs to work reliably under concurrent load" pressure. For this project I'd go GKE Autopilot or Standard cluster depending on your cost tolerance, KubeVirt for the VM orchestration layer, GCS for session persistence with lifecycle policies, and Prometheus/Grafana wired into Cloud Monitoring. Terraform for everything so nothing is snowflake infrastructure. One thing I want to understand before going deeper — are these Windows sessions, Linux, or mixed? That changes the KubeVirt node pool config pretty significantly.

@rajghadi1

Hi, I’m a DevOps & Cloud Engineer with hands-on experience in GCP, GKE, Kubernetes, Docker, Terraform, cloud networking, CI/CD, monitoring and logging. I reviewed your requirement for 6 isolated scenarios and up to 36 concurrent OS sessions. I can help design and implement the solution from GCP infrastructure through deployment, automation, security, monitoring and handover. My approach would include: • GCP VPC, subnets, firewall, IAM and networking • GKE Standard cluster and dedicated node pools • Kubernetes architecture with proper resource allocation and isolation • Evaluation of KubeVirt/KVM vs Compute Engine VMs for full OS sessions • Google Cloud Load Balancing and GKE Ingress/Gateway • GCS and persistent storage configuration • Terraform-based infrastructure automation • Automated session provisioning and lifecycle management • Prometheus/Grafana and Cloud Monitoring/Logging • Security, RBAC, testing, optimization and documentation I would validate the virtualization architecture against the actual OS, CPU/RAM, storage and session requirements before implementation rather than assuming GKE alone is sufficient. I can take ownership from architecture → implementation → testing → troubleshooting → documentation and handover. Bid: ₹25000 | Delivery: 7 days Regards, Raj Ghadi DevOps & Cloud Engineer

@sahilcomputers39

Hi there, Built GCP/GKE environments with Kubernetes, Terraform, networking, IAM, load balancing, and automated infrastructure provisioning—covering architecture through deployment and handover. Certified AWS Solutions Architect – Professional Certified AWS Solutions Architect – Associate CISA Certified Security Expert 16+ Years in DevOps, Cloud & Security For your GCP/GKE virtualization project, I can independently take ownership from architecture → GCP setup → GKE → virtualization → networking → storage → security → testing → handover. My focus would be designing the right architecture for your 6 scenarios / 36 concurrent OS sessions, including evaluating KubeVirt vs GCE based on workload requirements. I can handle GKE networking, VPC/firewall/IAM, Google Cloud Load Balancing, GCS, persistent storage, Kubernetes RBAC, Terraform/IaC, monitoring, and automated session provisioning/deprovisioning. I’ll also optimize the environment for isolation, scalability, reliability, and GCP cost efficiency, with complete deployment scripts and documentation. Availability: 8 hours/day, with flexible overlap for meetings and troubleshooting. Best regards, SHD

@saivarun484

Is it w.r.t POC or complete setup and if its complete set up how the os sessions needs to be there any specific requirement of OS for this?

@kalyanappari002

Hi, I’m a DevOps/Cloud Infrastructure engineer with hands-on experience in Kubernetes, Docker, Terraform, CI/CD, cloud networking, security, monitoring and production infrastructure architecture. I understand this project requires much more than a standard GKE deployment. I can handle the complete lifecycle — architecture/design, GCP setup, GKE configuration, VPC, firewall, IAM/RBAC, load balancing, GCS, persistent storage, autoscaling, monitoring/logging and automated provisioning/deprovisioning. For the requirement of 6 independent scenarios and up to 36 concurrent full OS/VM sessions, I can evaluate and implement the most suitable architecture using KubeVirt, GCE or a hybrid approach, based on performance, isolation, scalability and cost. I will ensure that the architecture is practical rather than forcing Kubernetes where it may not be optimal. I can also provide Terraform/IaC, deployment automation, architecture diagrams, documentation, testing, troubleshooting and final knowledge transfer. I’m available to take the project from architecture → implementation → testing → deployment → handover.

@dedsecsp76

Your core architectural choice is between GCE's simplicity and KubeVirt's density. While my 6 years of production GCP experience is with SaaS infrastructure rather than GKE virtualization, I see the main challenge as managing the complexity KubeVirt introduces. A critical failure mode is mishandling KubeVirt storage; relying on ephemeral disks means user sessions are lost on GKE node failure. The fix is to use the Containerized Data Importer (CDI) to provision persistent volumes (PVCs) for each VM session from a base image, ensuring state is decoupled from the underlying node. For networking, exposing 36 services individually is insecure and unscalable. I would implement a single Gateway or Ingress controller to route traffic, using strict Kubernetes NetworkPolicies between the six scenario namespaces to guarantee the required session isolation. This prevents cross-scenario data leakage. To recommend the right approach, two details are key: 1. Are users getting full administrative access to the OS, or running a specific, contained application? This determines the security model and image hardening requirements. 2. What is the expected session lifecycle (e.g., spun up on demand for 2 hours vs. persistent for days)? This heavily influences the cost-benefit analysis of KubeVirt vs. GCE.

@connecttoduy89

While my primary expertise is in on-premises virtualization, especially VMware vSphere/ESXi environments, I am very interested in expanding my experience with Google Cloud. I have strong skills in virtualization, networking, infrastructure deployment, and system administration. I am willing to dedicate my time and effort to this project and work with you until it is completed successfully. My main goal is to gain hands-on Google Cloud experience, so I am flexible and can even assist without charging a fee if needed. I am committed to learning quickly and delivering the best possible result for your project.

@Rupal518

Hi, I’m an experienced DevOps/SRE Engineer with 4+ years of hands-on experience in Kubernetes, Docker, Terraform, cloud infrastructure, CI/CD, Linux, networking, monitoring, and production-grade environments. I can help design and implement your GCP/GKE platform for 6 independent scenarios and up to 36 concurrent OS sessions. For this project, I would first evaluate the best virtualization architecture between KubeVirt, GCE-based VMs, or a hybrid approach, based on OS requirements, isolation, performance, scalability, and cost. I can handle GCP VPC/subnets/firewalls/IAM, GKE, Kubernetes networking, Load Balancing, Ingress/Gateway, persistent storage, GCS, RBAC, autoscaling, monitoring, logging, and automated VM/session provisioning. I’ll implement the infrastructure using Terraform/IaC wherever practical, with proper security and session isolation. I’ll also provide deployment scripts, architecture diagrams, documentation, testing, troubleshooting, and knowledge transfer. I’m comfortable owning the project end-to-end—from architecture and infrastructure setup through deployment, optimization, testing, and handover. I’d be happy to discuss the OS/session requirements and propose the most suitable architecture and implementation plan.

@aladdin21

I'm a Data Engineer with hands-on GCP experience, currently building a production-style GCP architecture end to end: Terraform-managed infrastructure with modular remote state, GKE cluster deployment (FastAPI backend + React frontend, ClusterIP/LoadBalancer configs), IAM-scoped service authentication, Kubernetes Secrets management, Cloud Monitoring, and active cost governance across a multi-phase pipeline. This maps closely to your project's core requirements: GKE architecture and configuration, VPC/networking setup, IAM and RBAC, containerization with Docker, Terraform-based deployment, and — critically — the cost discipline needed to run something like 36 concurrent sessions efficiently without runaway billing. I've built tooling specifically for tracking and optimizing GCP resource spend, which is exactly the mindset this project needs given its scale. For the virtualization layer, I'd approach it methodically: evaluate KubeVirt against GCE-based session provisioning early, validate the choice against your isolation and concurrency needs, then build out the architecture from there — VPC and networking, GKE configuration, load balancing, storage, and automated session provisioning, in that order, so each layer is solid before the next depends on it. I'd be glad to walk through my GKE/Terraform work in more detail and put together a clear technical approach and timeline for your six-scenario architecture.

@Prutheus

Multiple isolated user environments on GKE — the whole design question is what "isolated" has to mean for you, and the answer changes the build completely. Namespace isolation with network policies, resource quotas and RBAC is cheaper and simpler. Node-pool or cluster separation is genuinely stronger and costs more. Choosing that before building saves a rebuild later, so it is the first thing I would want settled with you. What I would deliver: - GKE cluster design with node pools sized to the workload, autoscaling configured so cost tracks usage rather than peak. - Network policies as default-deny with explicit allows, ingress and load balancing set up properly, internal traffic not implicitly trusted. - Persistent storage with the right storage classes, and backups actually restore-tested. - Everything as infrastructure-as-code with Terraform, so the environment is reproducible and reviewable rather than clicked together in the console. Background: Docker and Kubernetes in production, deployments across multiple cloud platforms, and CI/CD pipelines as standard practice. I run production infrastructure daily, so I care about the 3am properties: observability, sane defaults, and rollback that works. Questions: what workload runs in each isolated environment, how many environments do you expect, and is there an existing cluster or is this greenfield? Martin

@sarthaktyagi0

I have 5+ years of hands-on experience with Kubernetes and GCP, including GKE, GCP networking, IAM, load balancing, storage, Terraform, Linux, Docker, CI/CD, monitoring, and production infrastructure. Your project is particularly interesting because it combines GKE with virtualization, workload isolation, automated provisioning, networking, and scalable session management. I can take ownership from architecture design through implementation, testing, optimization, documentation, and handover. I would first evaluate whether KubeVirt, GCE, or a hybrid architecture is the best fit for running the 36 concurrent OS sessions, considering performance, isolation, scalability, reliability, and cost. I can then build the required GCP/GKE infrastructure and automation around the selected architecture. I’m available for project-based engagement and can provide a detailed architecture and implementation plan.