GCP Cloud Migration Services
Introduction - GCP cloud migration
This moves your existing applications and infrastructure onto Google Cloud Platform - often chosen for its strong data analytics/BigQuery ecosystem, Kubernetes-native tooling (GKE), or existing Google Workspace integration. We plan migrations in phases with rollback points, not a single risky cutover.
We assess honestly whether GCP is the right target for your workload - its strengths (data/ML tooling, container orchestration) fit certain use cases better than AWS or Azure, and we'll say so rather than push migration for its own sake.
Why migration planning is the real risk, not the platform
The actual data/application transfer is usually straightforward - the risk lives in dependency mapping, DNS cutover timing, and having a genuine rollback plan if something breaks. We invest real time in this planning before touching production.
GCP's pricing and service model differs from AWS/Azure in ways that affect ongoing cost - we validate this specifically post-migration rather than assume savings.
What's included
- BigQuery and data pipeline migration assessment where relevant
- GKE (Kubernetes) migration path for containerized workloads
- IAM and service account structure matched to GCP's permission model
- Network and VPC design distinct from your prior provider's setup
- Post-migration cost validation against GCP's specific pricing model
- Team training on GCP console, Cloud Build, and management tools
Our process
1. Assess & map dependencies
We document your current architecture and dependencies, confirming GCP genuinely fits your workload before planning migration.
2. Migrate in phases
Non-critical systems move first to validate the process, with critical systems following once the approach is proven.
3. Cutover & validate
DNS cutover at a planned low-traffic window, with immediate validation of data integrity and performance.
Pricing
GCP's per-second billing and sustained-use discounts change the cost calculus versus other providers - we model this specifically rather than assume price parity. Range: Rs 80,000 - 450,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Data-heavy businesses wanting BigQuery/analytics integration, teams using Kubernetes wanting GKE's native tooling, and organizations standardized on Google Workspace.