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Legacy Modernization
12 min read read

From Legacy to Agentic: A .NET Modernization Playbook

FOCUS

The Strangler Fig pattern in practice: using YARP reverse proxies to decouple monolithic routes live.

01/03
Abstract:

The definitive architectural guide to modernizing monolithic ASP.NET WebForms and .NET Framework 4.x legacy codebases into event-driven .NET 9/10 microservices augmented with Microsoft Semantic Kernel.

Key Architectural Findings & Guidelines

The Strangler Fig pattern in practice: using YARP reverse proxies to decouple monolithic routes live.
Automating schema normalization and dual-write synchronizations on enterprise SQL Server databases.
Embedding agentic AI workflows into core legacy ERP backends without disruptive downtime.

§01. The 4-Stage Modernization Playbook

Modernizing decades-old C# codebases requires a phased, risk-contained methodology:

Stage 1: Automated dependency graphing to identify high-coupling stored procedures and Windows Server dependencies.

Stage 2: YARP reverse proxy deployment to route traffic at the HTTP boundary.

Stage 3: Extracting domain services into .NET 10 Minimal APIs running inside Docker containers on Linux.

Stage 4: Augmenting modern endpoints with Microsoft Semantic Kernel plugins to expose legacy data to autonomous AI agents.

Technologies & Standards Evaluated:
.NET 10ASP.NET CoreYARPSemantic KernelPostgreSQLDocker
15+Years of Engineering
50+Enterprise Clients
99.9%System Uptime
12M+Daily Active Users Supported
ARCHITECTURAL BLUEPRINTS

Enterprise Architecture & System Topologies

Production architectural schematics, AI agent pipeline models, and zero-trust security topologies verified in mission-critical environments.

SECURITY TOPOLOGY•
16:9 Form Factor
1 / 5
Enterprise AI Security & Governance Enforcement Topology

Enterprise AI Security & Governance Enforcement Topology

Regulated Enterprise AI

Multi-layer governance architecture showing pre/post model guardrails, tenant boundary isolation, token rate quotas, and immutable audit trails.

Policy Compliance
100%
Audit Latency
< 15ms
LangGraphAzure AI SearchRedis VaultPrometheus
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“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”

LD
Lokesh Dave(California, USA)
Product Head • Enterprise AI Solutions
01 / 17
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Compliance-Ready Systems
15+ YEARS DELIVERY
200+ Enterprise Systems
KNOWLEDGE BASE // FAQ

From Legacy to Agentic: A .NET Modernization Playbook FAQ

Direct answers to architectural, technical, and operational questions.

7 Questions
Q01What core engineering domains does SHIVAM ITCS specialize in?
We specialize in four interconnected pillars: Autonomous Agentic AI Systems, Monolithic .NET to .NET 9/10 Cloud Modernization, High-Concurrency Multi-Tenant SaaS Architecture, and Hybrid Vectorless Knowledge Retrieval (RAG).
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Partner with SHIVAM ITCS to modernize legacy monoliths, deploy autonomous multi-agent meshes, or engineer zero-downtime cloud systems. Book an architectural discovery call with our lead architects today.

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Production Uptime
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VERIFIED DEPLOYMENTS:.NET 10 MicroservicesLangGraph SwarmsVectorless BM25 RAGZero-Trust mTLSSOC 2 & HIPAA Ready