Other vendors relocate your workloads. We modernize them. Every MomentumAI migration improves deployment patterns, CI/CD pipelines, 12-factor compliance, and establishes a new contract between platform teams and their customers.
Our Team's Credentials
Multi-Cloud & Platform Partnerships
AWS Select, Google Cloud, Broadcom Expert Advantage, and Red Hat Partner
CKA/CKAD Certified
Certified Kubernetes experts with deep CNCF expertise
Cloud-Agnostic Heritage
20+ engineers from Pivotal, VMware, and Broadcom with deep multi-cloud Kubernetes expertise
Our Team's Impact
100+
Kubernetes platform engagements completed across distributions
500+
Cloud Foundry, PCF, and Tanzu platform engagements
6
Supported Kubernetes distributions for migration
20+
Engineers from Pivotal, VMware, and Broadcom
Ready to discuss your migration?
Let's talk about your source platform, target goals, and timeline
Yes, let's discuss!Our Migration Methodology
Refined across hundreds of engagements at Pivotal, VMware, Broadcom, and MomentumAI.
Pilot & Discover
Weeks 1-4
We take an agile approach from day one, running pilot migrations and workload discovery in parallel. A representative workload goes through the full migration lifecycle to capture real effort data, while automated discovery maps your entire portfolio. This ensures our migration plan is grounded in reality, not speculation.
Activities
- Pilot migration of a representative workload end-to-end
- Automated workload and dependency discovery across your portfolio
- Affinity mapping to group similar workloads into migration batches
- Capture real effort data and timing metrics to calibrate estimates and inform migration strategy
- Validate tooling, automation, and rollback procedures
Outcomes
- ▸ Proven migration playbook based on real data, not guesswork
- ▸ Complete workload inventory with ownership, status, and affinity groups
- ▸ Data-driven migration roadmap with calibrated effort estimates
Migrate & Transform
Weeks 4-12+
We migrate affinity groups in iterative batches, modernizing workloads during migration, not after. Each batch refines our approach and improves velocity. Ongoing discovery and planning continue throughout, using insights from completed migrations to inform the next batch.
Activities
- Migrate workloads in affinity-grouped batches
- Modernize deployment patterns, CI/CD pipelines, and observability during migration
- Continuous discovery and planning informed by prior migration insights
- Refine playbook and automation with each iteration
- Validate security, compliance, and rollback for each batch
Outcomes
- ▸ Workloads migrated and modernized, not just relocated
- ▸ Continuously improving migration velocity
- ▸ Updated CI/CD pipelines, deployment patterns, and observability
Operate & Stabilize
Ongoing
Transition to steady-state operations with full knowledge transfer. Optimize platform performance, establish runbooks, and ensure your team is equipped to operate independently.
Activities
- Platform operations handoff and documentation
- Team knowledge transfer and enablement sessions
- Performance optimization and capacity tuning
- Establish operational runbooks and incident procedures
- Complete Kubernetes cluster migration
Outcomes
- ▸ Self-sufficient platform team with full operational capability
- ▸ Documented runbooks and operational procedures
- ▸ Optimized platform performance and resource utilization
The "paper planning" trap
- Months of discovery before any migration starts
- LOE estimates off by an order of magnitude
- No real data to validate assumptions
The MomentumAI way
- Start with a pilot for real data in weeks, not months
- Iterate based on actual outcomes, not projections
- Continuously refine estimates with each batch
Kubernetes Migration Paths
Expert guidance for every source-to-target migration. Whether you're moving from a legacy PaaS like Cloud Foundry or Heroku, replatforming VMs, or switching between Kubernetes distributions, we have a proven approach.
KubernetesCloud Foundry to Kubernetes
Migrate from Cloud Foundry, PCF, or Tanzu Application Service to any Kubernetes distribution. We convert buildpack-based apps to containers, replace cf push workflows with Kubernetes-native CI/CD, and remediate 12-factor compliance gaps during the migration.
- Buildpack-to-container conversion with optimized images
- cf push to Kubernetes-native CI/CD pipeline migration
- 12-factor compliance remediation during migration
OpenShift
VKSOpenShift to vSphere Kubernetes Service (VKS)
Migrate from Red Hat OpenShift to VMware vSphere Kubernetes Service. We handle Operator and SCC migration, integrate with VCF-native networking and storage, and establish new platform contracts for your development teams.
- Operator and SCC migration to VKS-native equivalents
- VCF-native networking and storage integration
- Platform contract establishment for development teams
Any K8s
Any K8sKubernetes Distribution Migration
Move workloads between any Kubernetes distributions while preserving workload integrity and improving operational patterns. Whether consolidating multi-cluster environments or standardizing on a single distribution, we ensure zero-downtime migrations with full CI/CD continuity.
- Zero-downtime migration between any distributions
- CI/CD pipeline portability and optimization
- Multi-cluster consolidation and standardization
OpenShift
Amazon EKSOpenShift to EKS
Migrate from Red Hat OpenShift to Amazon EKS with full AWS-native service integration. We convert SCCs to Pod Security Standards, migrate from OpenShift Routes to AWS ALB/NLB, and integrate with AWS-native observability and security services.
- SCC to Pod Security Standards conversion
- AWS-native service integration (ALB, IAM, CloudWatch)
- OpenShift Route to AWS ingress migration
OpenShift
Google GKEOpenShift to GKE
Migrate from Red Hat OpenShift to Google Kubernetes Engine with GCP-native tooling adoption. We handle Anthos compatibility assessment, migrate to GKE-native ingress and service mesh, and integrate with Google Cloud operations suite.
- GCP-native tooling and service mesh adoption
- Anthos compatibility and migration path assessment
- Google Cloud operations suite integration
OpenShift
Azure AKSOpenShift to AKS
Migrate from Red Hat OpenShift to Azure Kubernetes Service with Azure AD integration and Azure-native service mesh. We convert OpenShift-specific configurations to AKS equivalents and integrate with Azure DevOps and monitoring.
- Azure AD and RBAC integration
- Azure-native service mesh and networking
- Azure DevOps pipeline migration and optimization
Tanzu/TAS
VKSTanzu to vSphere Kubernetes Service (VKS)
Migrate from Tanzu Application Service (Cloud Foundry) to vSphere Kubernetes Service, staying within the VMware/Broadcom ecosystem. We convert buildpack-based apps to containers, replace cf push with Kubernetes-native CI/CD, and leverage VCF-native networking and storage.
- Buildpack-to-container conversion optimized for VKS
- VCF-native networking, storage, and lifecycle integration
- Seamless VMware/Broadcom ecosystem continuity
Tanzu/TKG
KubernetesTanzu to Kubernetes
Migrate from VMware Tanzu Kubernetes Grid (TKG/TKGS) to any target distribution, including VKS, EKS, GKE, AKS, OpenShift, or Rancher. We handle the transition from Tanzu-native tooling to your target platform's ecosystem, including CI/CD pipeline migration and developer workflow adaptation.
- TKG/TKGS to any target distribution (VKS, EKS, GKE, AKS, OpenShift, Rancher)
- Tanzu Build Service to target-native build pipeline migration
- Developer workflow and tooling adaptation
Rancher
GKE/EKS/AKS/VKSRancher to Cloud-Native K8s
Migrate from Rancher-managed clusters to cloud-native Kubernetes alternatives including GKE, EKS, AKS, and VKS. We transition fleet management patterns to cloud-native equivalents and optimize for your target platform's capabilities.
- Fleet management to cloud-native alternatives
- Multi-cluster strategy redesign and optimization
- Target platform capability optimization
Any-to-Any Migration Capability
We support migration between any combination of platforms and Kubernetes distributions. If your source or target isn't listed, get in touch - we've likely done it before.
| Source \ Target | EKS | GKE | AKS | OpenShift | VKS | Rancher |
|---|---|---|---|---|---|---|
| Cloud Foundry | ||||||
| OpenShift | ||||||
| Heroku | ||||||
| VMs | ||||||
| EKS | ||||||
| GKE | ||||||
| AKS | ||||||
| Rancher | ||||||
| Tanzu/TKG |
Need help with your Kubernetes migration?
Let's discuss how we can modernize your workloads during migration
Get Started TodayMigration Case Studies
Platform Engineering - Modernizing and Migrating a 20,000-CPU Mission System with Kubernetes
We helped a U.S. national security organization modernize a 20,000-CPU mission system by migrating to Kubernetes using the strangler pattern. Through platform engineering, developer enablement, and observability, we reduced compute by ~50%, cut deployment windows from 4-5 hours to ~15 seconds, shrunk build cycles from ~10 hours to ~30 minutes, and enabled 15-20 minute environment provisioning, all within a secure, air-gapped environment.
Platform Engineering - Scaling Kubernetes for Multi-Client Mainframe Modernization with Zero-Trust Architecture
We helped a $100M+ mainframe modernization startup transform their platform architecture from Google Cloud-only hosting to a cross-cloud solution. By implementing zero-trust access with Teleport, Cloud Development Environments with Coder, and GitOps with Argo CD, we enabled them to deploy their platform directly into client environments (AWS, Azure, or GCP) while ensuring secure IP protection and automated platform bootstrapping.
Platform Engineering at Scale - Leveraging Kubernetes to enable Self-Service, Observability & Enterprise Readiness
We helped a $1B+ business services provider scale their Kubernetes platform from initial deployment to enterprise readiness. Through Platform-as-a-Product consulting, GitOps automation, distributed monitoring, and team upskilling, we enabled automatic cluster deployment in minutes and multiple builds per hour with minimal friction, serving 25 applications across 10 clusters.
Beyond Migration: Your Complete Platform Journey
Every migration includes preparation of a production-ready target platform. We use our Launch/Scale/Manage/Assess framework to ensure your new platform is built for long-term success.
Kubernetes Migration FAQ
How long does a typical migration take?
- A pilot migration typically takes 2-4 weeks and gives us the data to project the full timeline. For large portfolios (100+ workloads), expect 3-6 months of iterative batch migration. Timeline depends on the number of workloads, their complexity, and the source/target platforms. Our approach is designed to deliver production workloads on the target platform early, rather than waiting until everything is “planned” before migrating anything.
How do you approach large-scale migrations with hundreds of workloads?
We use an iterative, data-driven approach rather than trying to plan everything upfront.
- We start with a pilot migration of a representative workload to capture real effort data, while simultaneously running automated discovery across your full portfolio.
- Workloads are grouped by affinity (similar technology, team ownership, deployment patterns) and migrated in batches, with each batch refining our approach and improving velocity.
This lets us give you accurate, data-backed estimates rather than speculative LOE projections.
What Kubernetes distributions do you support for migration?
We support migration to and from all major Kubernetes distributions:
- Amazon EKS - AWS-managed Kubernetes
- Google GKE - Google Cloud’s managed Kubernetes
- Azure AKS - Microsoft’s managed Kubernetes
- Red Hat OpenShift - Enterprise Kubernetes platform
- Rancher (SUSE) - Multi-cluster management
- vSphere Kubernetes Service (VKS) - on VMware Cloud Foundation
We also handle migrations from non-Kubernetes platforms including Cloud Foundry, Heroku, and VM-based workloads.
Do you support air-gapped and disconnected environments?
- Yes. Many of our engagements are in air-gapped, disconnected, or classified environments, particularly in the defense and intelligence sectors. We have extensive experience with AWS GovCloud, AWS Secret/Top Secret regions, and on-premises VMware Cloud Foundation deployments. Our tooling and processes are designed to work without internet access.
What happens to our CI/CD pipelines during migration?
CI/CD pipeline modernization is a core part of every migration, not an afterthought. As part of each workload batch, we:
- assess your current pipelines
- design target-platform-native equivalents
- update your pipelines to deploy to the new target platform
This includes container image builds, testing workflows, deployment automation, and rollback procedures. Your teams end up with modernized pipelines, not just reconfigured ones.
Can you help migrate from platforms not listed, or custom platforms?
- Yes. While our migration path cards highlight the most common source/target combinations, we have experience migrating from virtually any platform to Kubernetes. This includes custom PaaS implementations, Docker Swarm, Mesos/Marathon, and VM-based deployments. The methodology is the same: pilot, discover, iterate, stabilize.
How is your approach different from lift-and-shift?
- Lift-and-shift (what we call “your mess for less”) relocates workloads without improving them. You end up with the same problems on a new platform. Our approach modernizes workloads during migration: improving deployment patterns, CI/CD pipelines, 12-factor compliance, observability, and security posture. Every workload arrives on the target platform better than it left the source. This costs marginally more per workload but dramatically reduces post-migration remediation and operational burden.
Ready to Transform Your Platform?
Our team is ready to help you migrate and modernize, not just relocate
Yes, let's discuss!