ZeonAI Labs Accelerates GCP Migration with Facets AI-Powered Discovery and Multi-Cloud Blueprints

How ZeonAI Labs leveraged Facets' AI agents to achieve the first environment migration in 1 week and establish self-service operations with 3 daily releases for their agentic platform.

Strategic Value Delivered by Facets

Before

• Fragmented Infrastructure: Three product lines on AWS with limited automation. Services, including Lambdas, ECS tasks, and databases, were managed manually, with some workloads still running on EC2 instances. Developers manually built Docker images and updated task definitions for deployments.

• Migration Complexity: Critical AWS-native services (Lambda, SQS, ECS) had no direct GCP equivalents, requiring re-architecture

• DevOps Bottleneck: No in-house GCP expertise, traditional migration approaches estimated 6+ months

After

• Rapid Initial Migration: First environment operational in 1 week, enabling progressive migration strategy

• AI-Accelerated Process: AI agents reduced discovery and blueprint creation from weeks to hours

• Self-Service Operations: 92 deployments in 30 days (~3/day) demonstrating complete developer autonomy

The Challenge: Complex Multi-Product Migration

ZeonAI Labs operates three AI-powered enterprise products:

1. DeepProbe – a Generative AI-powered search engine

2. DeepDelve® – an AI platform that automates complex business processes

3. InvoiceAI – a solution that streamlines vendor invoice processing

Each product had complex AWS dependencies, including Lambda functions, ECS tasks, Redis queues, Weaviate, and multiple databases, with no direct GCP equivalents. Estimating the time required to discover complex interactions between components and model them on the target cloud was approximately six months.

Additionally, the lack of automation meant that only a handful of senior developers could complete infrastructure-related tasks, and the team's velocity was dependent on them. A prior partial migration was attempted by an external agency. This approach was discontinued by the ZeonAI team, which was manual and required expertise for Day 2 operations.

The Solution: AI-Powered Migration with Multi-Cloud Blueprint

Phase 1: AI-Led Discovery and Blueprint Generation

Facets' AI agents transformed the migration approach:

• Automated discovery of the entire AWS infrastructure in days
• Generated multi-cloud blueprints for hybrid operations
• Identified optimal migration sequence for gradual transition

Phase 2: Week 1 - First Environment Live

Rapid initial migration milestone:

• Development Environment on GCP: Fully operational within 1 week
• Multi-Cloud Blueprint Active: AWS services continued running while GCP came online
• Validation Complete: Proved the migration approach worked

Phase 3: Progressive Migration Strategy

Gradual rollout enabled by multi-cloud architecture:

• Service-by-Service Migration: Each service moved independently when ready
• No Big-Bang Risk: AWS services maintained while GCP services validated
• Traffic Switching: Gradual shift as confidence increased

AI Agents: The Migration Accelerator

The AI agent capabilities that transformed the timeline:

1. Automated Discovery: Complete AWS infrastructure mapping in hours vs weeks
2. Blueprint Generation: Multi-cloud architecture created automatically
3. Service Wiring: AI-connected services and databases without manual configuration

"Using the AI agent, we could just tell it what our services require, and it did all the wiring on its own. What used to take weeks of manual configuration was done automatically." - Biswa Singh, Co-founder, ZeonAI Labs

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Key Transformations Enabled

• Lambda → Kubernetes Jobs: AWS Lambda + ECS patterns converted to K8s job dispatchers
• S3 → GCS: Front-end assets containerized and deployed
• Database Consolidation: Multiple instances merged with cost optimization
• Custom Modules: AI-assisted creation of Weaviate vector database module

Business Impact

Immediate Value Delivery

• Week 1: First environment operational, migration validated
• Month 1: 92 deployments showing self-service maturity
• Ongoing: 3 releases/day average with 0% failure rate

Operational Excellence

• Eliminated DevOps bottlenecks through self-service
• Reduced database costs through consolidation
• Achieved stability from day one of migration

Developer Empowerment

Post-migration metrics prove sustainable success:

• Developers independently manage deployments
• No dependency on DevOps for releases
• AI-assisted troubleshooting and optimization

What Made the Difference?

The turning point was Facets' Multi-Cloud blueprint strategy, powered by the agent-led discovery. It allowed ZeonAI to run AWS and GCP in parallel, validate each step, and move services only when ready. This approach removed the need for a risky cutover and kept rollback options open at all times.

Today, ZeonAI operates all three product lines on a hybrid multi-cloud setup powered by Facets.

ZeonAI Labs now has the flexibility to:

• Launch additional products without dealing with DevOps complexities
• Single-click environment launch for region and customer expansions

"Facets transformed our cloud migration journey. Getting our first environment on GKE in 1 week validated the platform approach. The AI-assisted automation and self-service capabilities mean our developers deploy to GCP independently. We've achieved 3 releases per day with zero failures - unimaginable with our previous setup. The platform scales with our growth." - Biswa Singh, Co-founder, ZeonAI Labs

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