Independent recommendations
We don't resell or push preferred vendors. Every suggestion is based on what fits your architecture and constraints.
Migrate your VM-based applications to Kubernetes with expert containerization, resource right-sizing, and zero-downtime cutover on EKS, AKS, or GKE.
Virtual machines served enterprises well for decades, but they carry significant overhead: full OS images, slow boot times, over-provisioned resources, and complex configuration management. Kubernetes eliminates this overhead by running containers that share the host OS kernel, start in seconds, and scale elastically.
Our Kubernetes migration services have containerized 200+ VM workloads across industries. We assess each application, determine the right containerization strategy (lift-and-shift, replatform, or refactor), and execute migrations with zero production downtime.
Whether your VMs run on VMware, Hyper-V, or cloud instances (EC2, Azure VMs, Compute Engine), we containerize applications and deploy them to EKS, AKS, or GKE with proper resource management and autoscaling.
What changes when you containerize VM workloads
Teams that migrate from VMs to Kubernetes achieve better resource utilization, faster deployments, and lower operational overhead.
End-to-end containerization and migration for VM workloads
Analyze your VM-based applications to determine containerization readiness. We profile CPU, memory, storage, and network patterns, map dependencies, and classify workloads by migration complexity—from simple stateless apps to complex stateful systems.
Convert VM-based applications into optimized Docker containers. We write production-grade Dockerfiles with multi-stage builds, implement distroless base images for security, and package applications into Helm charts.
Migrate persistent data from VM-attached storage to Kubernetes PersistentVolumes. We configure storage classes, implement StatefulSets for ordered deployment, and set up backup and disaster recovery for stateful workloads.
Translate VM networking (VLANs, firewall rules, load balancers) to Kubernetes-native constructs. We implement network policies, Ingress controllers, and service mesh for production-grade networking and security.
Every VM construct has a container counterpart
Heavy VM images (GBs) are replaced by lightweight container images (MBs) with multi-stage builds and distroless bases.
VMware/Hyper-V hypervisors are replaced by containerd with shared kernel for minimal overhead.
VM snapshots become immutable container image tags with registry-based versioning and rollback.
VM-attached storage maps to Kubernetes PersistentVolumes with dynamic provisioning and storage classes.
VM-level firewall rules translate to Kubernetes network policies for pod-to-pod traffic control.
VM-based cron tasks migrate to Kubernetes CronJobs with built-in retry, concurrency control, and monitoring.
A proven approach for containerizing VM workloads
Profile CPU, memory, storage, and network usage across your VMs. Map application dependencies, identify stateful components, and classify each workload by migration strategy: lift-and-shift, replatform, or refactor.
Write optimized Dockerfiles, implement multi-stage builds, and package applications into Helm charts. Build CI/CD pipelines for container image builds with security scanning and automated testing.
Deploy containerized workloads to Kubernetes with proper resource requests, health checks, and autoscaling. Run parallel environments for validation with load testing before cutover.
Execute zero-downtime traffic migration using DNS or load balancer switching. Validate application performance, data integrity, and then decommission VM infrastructure.
Deep containerization and Kubernetes expertise
Proven experience across Java, .NET, Python, PHP, and Node.js applications
Real usage profiling ensures containers are properly sized, not over-provisioned like VMs
Special handling for databases, file systems, and stateful applications
Phased approach lets you migrate at your own pace without big-bang risk
We're not a typical consultancy. Here's why that matters.
We don't resell or push preferred vendors. Every suggestion is based on what fits your architecture and constraints.
No commissions, no referral incentives, no behind-the-scenes partnerships. We stay neutral so you get the best option — not the one that pays.
All engagements are led by senior engineers, not sales reps. Conversations are technical, pragmatic, and honest.
We help you pick tech that is reliable, scalable, and cost-efficient — not whatever is hyped or expensive.
We design solutions based on your business context, your team, and your constraints — not generic slide decks.
What our customers say about our containerization services
"Their team helped us improve how we develop and release our software. Automated processes made our releases faster and more dependable. Tasrie modernized our IT setup, making it flexible and cost-effective. The long-term benefits far outweighed the initial challenges. Thanks to Tasrie IT Services, we provide better youth sports programs to our NYC community."
"Tasrie IT Services successfully restored and migrated our servers to prevent ransomware attacks. Their team was responsive and timely throughout the engagement."
"Tasrie IT has been an incredible partner in transforming our investment management. Their Kubernetes scalability and automated CI/CD pipeline revolutionized our trading bot performance. Faster releases, better decisions, and more innovation."
"Their team deeply understood our industry and integrated seamlessly with our internal teams. Excellent communication, proactive problem-solving, and consistently on-time delivery."
"The changes Tasrie made had major benefits. Fewer outages, faster updates, and improved customer experience. Plus we saved a good amount on costs."
Common questions about containerizing VM workloads
Most workloads can be migrated, but the approach varies. Stateless applications are straightforward to containerize. Stateful applications require careful planning for storage and data migration. Some workloads—like those with kernel-level dependencies or hardware-specific requirements—may need KubeVirt to run VMs inside Kubernetes as a transitional step.
We use Kubernetes PersistentVolumes with appropriate storage classes for each workload. Databases migrate to operators (Percona, CrunchyData) or managed services (RDS, Cloud SQL). File systems move to cloud-native storage (EFS, Azure Files, GCS). We implement incremental sync during migration to minimize cutover windows.
Lift-and-shift containerizes the application with minimal code changes—fast but doesn't leverage Kubernetes features fully. Refactoring involves redesigning the application to be cloud-native (12-factor, microservices). We recommend a phased approach: lift-and-shift first for quick wins, then incrementally refactor for Kubernetes-native benefits.
VMs are typically over-provisioned. We profile actual resource usage (CPU, memory, I/O) over time, then set Kubernetes resource requests and limits based on real data. Combined with HPA and VPA autoscaling, organizations typically achieve 40-60% better resource utilization compared to VMs.
Simple stateless applications take 1-2 weeks per workload. Stateful applications with databases take 3-6 weeks. Full VM environment migrations with 10-30 workloads span 3-6 months with phased rollouts. We provide detailed timelines during the migration assessment.
Get a free migration assessment. We'll profile your VM workloads and provide a containerization roadmap with effort estimates, resource savings projections, and timelines.
"We build relationships, not just technology."
Faster delivery
Reduce lead time and increase deploy frequency.
Reliability
Improve change success rate and MTTR.
Cost control
Kubernetes/GitOps patterns that scale efficiently.
No sales spam—just a short conversation to see if we can help.
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