Executive Summary
A leading enterprise faced chronic inefficiencies from manual resource discovery, fragmented cost analysis, and uncoordinated migration planning across AWS, Azure, GCP, and OCI platforms. Their legacy approach required extensive manual effort to inventory infrastructure, compare pricing models, and produce migration strategies, resulting in incomplete assessments and extended timelines.
Xgrid’s Solution: By orchestrating a Temporal-powered multi-cloud migration platform with parallel data collection agents, intelligent cost analysis, and RAG-enhanced recommendations, Xgrid delivered guaranteed execution across all migration assessment workflows. The result: automated resource discovery, unified cost intelligence, and coordinated migration planning with comprehensive cross-platform compatibility analysis.
The Challenge
- Manual Resource Discovery Complexity: Teams manually inventoried network, compute, database, and security configurations across multiple clouds, causing incomplete assessments, missed dependencies, and extended discovery timelines spanning weeks.
- Fragmented Cost Analysis: Organizations couldn’t compare migration costs across cloud providers without unified pricing models, service mapping, and standardized calculation methodologies for accurate TCO projections.
- Multi-Cloud Compatibility Gaps: Identifying service equivalents and migration strategies between cloud platforms required specialized expertise in each provider’s offerings, creating planning bottlenecks and extended cycles.
- Uncoordinated Migration Planning: Teams produced migration plans, risk assessments, and cost estimates separately without integration, resulting in inconsistent outputs, conflicting recommendations, and coordination delays.
The Solution: Intelligent Migration Operations with Temporal
1. Automated Data Collection Agents:
Parallel agents discover network, compute, security, database, streaming, and CDN resources across multi-cloud environments with guaranteed completion and comprehensive coverage validation.
2. Multi-Cloud Cost Intelligence:
Calculates migration expenses with OCI mapping and cross-platform pricing comparisons for AWS, Azure, and GCP, providing unified cost visibility and optimization recommendations.
3. Pre-Migration Assessment Suite:
Generates migration reports, cloud mapping documentation, compatibility analysis, and strategy recommendations with realistic timeline planning and risk identification.
4. Agent Orchestration Framework:
Coordinates collection agents with Pydantic validation and LangGraph orchestration, ensuring complete, verified resource assessment without manual coordination overhead.
5. Centralized Resource Repository:
CloudQuery syncs discovered resources to PostgreSQL, providing unified visibility across all cloud platforms and persistent migration state for long-running assessments.
6. RAG-Powered Knowledge Layer:
Retrieves migration best practices and optimization strategies from vector databases, enabling intelligent, context-aware recommendations based on proven patterns.
7. Automated Output Generation:
Produces migration plans, cost estimates, and risk assessments with lead conversion workflows enabling human approval and refinement before finalization.
Implementation Highlights
| Phase |
Key Deliverable |
| Requirements & Architecture |
Multi-cloud discovery design, agent workflow planning, CloudQuery integration strategy |
| Agent Development |
Network, compute, security, database, streaming, and CDN collection agents with parallel execution |
| Data Integration |
CloudQuery configuration, PostgreSQL schema design, resource synchronization patterns |
| Cost Intelligence |
Multi-cloud pricing models, OCI mapping logic, cost comparison algorithms |
| RAG & Knowledge Base |
Vector database setup, migration best practices ingestion, optimization pattern storage |
| Orchestration Layer |
Temporal workflows, LangGraph agent coordination, Pydantic validation schemas |
| Assessment Generation |
Report templates, compatibility matrices, strategy recommendation engine |
| Production Deployment |
Agent scaling, workflow optimization, lead conversion interface |
Results: Guaranteed Migration Assessment
Operational Reliability
- Workflow Completion: 99.99% success rate with automatic retry for cloud API failures.
- Resource Discovery: Zero incomplete assessments through parallel agent validation.
- Automated Recovery: Temporal workflows resume automatically after API rate limits or timeouts.
Process Efficiency
- Discovery Time: Reduced from 3–4 weeks to 2–3 days through automated parallel collection.
- Cost Analysis: Real-time cross-cloud comparisons replacing weeks of manual spreadsheet work.
- Planning Coordination: Unified migration strategies eliminating inconsistent separate assessments.
- Expert Time: Focused on high-value review instead of manual resource inventory.
Technical Performance
- Multi-Cloud Coverage: Comprehensive discovery across AWS, Azure, GCP, and OCI simultaneously.
- Agent Coordination: Seamless parallel execution of 6+ specialized collection agents.
- Data Consistency: Validated resource inventory with complete dependency mapping.
Operational Outcomes
- Zero Manual Recovery: Temporal guarantees completion for all resource discovery and cost analysis workflows across cloud platforms.
- Unified Migration Intelligence: Centralized repository provides single source of truth for cross-cloud resource inventory and compatibility mapping.
- Automated Cost Optimization: Multi-cloud pricing intelligence identifies savings opportunities without manual spreadsheet analysis.
- Coordinated Planning Output: Integrated migration plans, risk assessments, and cost estimates eliminate conflicting recommendations.
- Scalable Assessment Capacity: Agent-based architecture handles enterprise-scale infrastructure without proportional increase in assessment time.
- Knowledge-Enhanced Recommendations: RAG layer provides context-aware migration strategies based on best practices and proven patterns.
Lessons Learned
- Parallel agents are essential because sequential cloud resource discovery creates unacceptable delays for enterprise-scale infrastructure assessments.
- Centralized state management is critical through CloudQuery and PostgreSQL enabling persistent visibility and pause/resume of long-running discoveries.
- Temporal workflows eliminate coordination complexity by orchestrating multiple collection agents with guaranteed completion and automatic state persistence.
- RAG enhances recommendations by retrieving relevant migration patterns and optimization strategies instead of generic templated outputs.
- Validation prevents incomplete assessments through Pydantic schemas ensuring every required resource attribute is collected before proceeding.
- Start with high-impact workloads such as compute and database to demonstrate immediate cost savings before expanding to comprehensive infrastructure coverage.
Looking Ahead
- ✅ Real-Time Cost Monitoring: Continuous tracking of cloud spend with migration impact predictions.
- ✅ Automated Remediation Agents: Self-healing workflows for common migration issues and misconfigurations.
- ✅ Multi-Region Analysis: Geographic optimization recommendations for latency and compliance requirements.
- ✅ Container & Kubernetes Migration: Specialized agents for cloud-native workload assessment and modernization paths.
- ✅ Carbon Footprint Analysis: Sustainability metrics and green cloud recommendations for environmentally conscious migrations.
The Xgrid Advantage
- ✅ Guaranteed Assessment Completion: Temporal ensures every cloud resource discovery finishes, even with API failures.
- ✅ Zero Discovery Gaps: Parallel agent validation confirms comprehensive resource coverage across platforms.
- ✅ Accelerated Migration Planning: Automated discovery reduces assessment time from weeks to days.
- ✅ Unified Cost Intelligence: Cross-cloud pricing analysis eliminates manual spreadsheet comparisons.
- ✅ Scalable Discovery Capacity: Multi-agent architecture handles enterprise infrastructure without timeline extensions.
- ✅ Knowledge-Driven Recommendations: RAG-powered insights provide proven migration strategies and optimization patterns.
We turned multi-cloud migration from manual guesswork into intelligent, guaranteed assessment.
With Temporal, every resource gets discovered, every cost comparison completes, and no migration team operates without comprehensive cross-platform intelligence. This wasn’t achieved by hoping cloud APIs cooperate perfectly, but by designing for durability, parallel execution, and systematic validation.
