EKS Migration Readiness Assessment
Why EKS Migration Readiness Assessment?
Most EKS migrations start with confidence and hit the same problems: networking gaps, IAM errors, and reliability failures that surface after cutover, often after the migration team has already moved on. The starting point varies. The failure modes don't. The pressure to move is real. The cost of moving wrong is higher.
Why It's Hard
EKS migration isn't hard because the technology is complex. It's hard because dozens of decisions have to be made correctly and in sequence, and most teams don't catch the gaps until they're in production. Generic playbooks assume a clean starting point that rarely exists. And infrastructure that isn't observable and properly scoped isn't just a migration risk; it's a gap that will block return on AI investments down the line.
The Accelerator Advantage
This Assessment compresses the discovery and architecture work that typically runs alongside, and too often after, migration execution. In four weeks, you get a risk-mapped roadmap, validated architecture, and a sequenced migration plan with rollback defined at every stage. The forward-deployed engineers who built the plan execute it. No handoff, no ramp-up.

Benefits and Metrics
What's Included
Discovery & Analysis
- Workload inventory across all source environments
- Containerization readiness by workload type
- VPC, IAM, and security group review
- Karpenter and spot strategy evaluation
- Observability gap assessment, including AIOps readiness
- CI/CD pipeline and container registry review
Deliverables
- Workload inventory with readiness scores
- EKS cluster architecture design
- Networking and IAM decomposition plan
- Sequenced migration plan with rollback at every boundary
- Cost and efficiency model
- AI-forward alignment notes
- Executive readout with risk map and AWS MAP milestone alignment
Outcomes
- Migration risk identified and sequenced before cutover
- Validated architecture aligned to your existing standards, with no operational relearning
- IAM debt documented before migration begins
- Compute efficiency baseline sized to your actual workload profile
- Observability foundation in place from day one, with AIOps-ready instrumentation
- Infrastructure posture assessed for AI agent readiness
- Engineering and leadership aligned on scope, timeline, and success criteria



