Scenario based QA
in real time u need to sound human not just a theory show experience - not just theory show real time problem faced during events achievement u get
How does he handle failures
How do you approach Migrating VM based apps to Kubernetes
Approach/Flow
Q. Migrate stateless and stateful applications from traditional VMs to Kubernetes with zero/minimal downtime, improved scalability, resilience, observability, and cost efficiency — while ensuring team readiness and operational continuity.
My approach to application workload migration is structured around five main stages: Plan, Design, Test, Execute, and Post-implementation.
Plan: I start by understanding the business goal — whether the driver is cost, scalability, security, or reliability. Then I analyze the application’s dependencies, data volume, and acceptable downtime. I also identify risks, define a rollback plan, and confirm prerequisites like approvals and access.
Design: Based on business needs, I choose the right migration type — lift-and-shift, replatform, or refactor. I design the target AWS environment from scratch using Terraform, covering application, networking, database, and compute layers. At this stage, I also create rollback strategies and document dependencies.
Test: I run migrations in lower environments first. This includes functional testing, load testing, and monitoring the system for stability. I document each step and update prerequisites as we learn.
Review & Alignment: Before production, I present the migration plan, architecture diagrams, rollback steps, and limitations to the team and managers. This creates alignment, avoids surprises, and builds trust.
Execute: In production, I provision the new environment, migrate workloads, and cut over traffic during a planned maintenance window or using a canary strategy. I monitor the system closely with metrics and logs, test with a small set of users, and keep rollback ready in case of issues.
Post-implementation: Finally, I share post-migration notes, lessons learned, and improvements for future migrations.
For example, in one migration, this structured approach helped us reduce downtime to under 10 minutes and improve scalability while also cutting infrastructure costs by around 20%.”
--------------------
MIGRATION application workload migration PLAN - Why, Business Need/goal - may be security/cost/scalability/reliability First I check the application’s needs — dependencies, data size, and downtime limits. Then consider risk factors, rollback plan, plan downtime approach to follow, how to design check prerequisites (approval, access)
DESIGN - Then I decide the migration type, whether it’s lift-and-shift, replatform, or refactor connect prerequisites (all setup from scraptch by terraform) design pattern - various layer - application, networking, database, compute layer rollback plan architecturing and conecting various components and their dependencies
TEST IN LOWER ENVIRONMENT test in lower environment and documenting in parallel validate with functional testing, load testing monitoring for some period and ensure everything working fine
DOCUMENT clear, structure, simple documentation with digrams and prerequisites with rollback steps and limitations
PRESENT/REVIEW walkthough plan and expected outcomes with teammates, manager ask for the feedback, improvement this creates allignment, avoid surprises, built trust and make it predicatble
APPLY/EXECUTE Do it in production carefully (setting up new environmet) implements all components , there dependencies, keep monitoring system ready plan downtime (maintainance window) migrate workloads and point to production keep monitoring - monitor closely during rollout test with small subsets of user be ready with rollback if anything failed validate,
POST IMPLEMENTATION share post impplementation notes any issue during rollout/implementation, any improvement next time
Last updated