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ShowcaseCase Study
Distribution · ERP

ERP Modernization &
Batch Optimization

How we migrated 47 legacy overlayered D365 customizations to upgrade-safe Chain of Command patterns — unlocking zero-downtime deployments and 8× batch throughput.

47 → 0Overlayered Files
Batch Throughput
0Downtime Deployments
$800KUpgrade Cost Saved

Client Context

A mid-market wholesale distributor running Dynamics 365 Finance & Operations had accumulated years of technical debt. Their D365 environment contained 47 overlayered source files — direct modifications to Microsoft's base code that prevented any version upgrades.

The company was stuck 3 major versions behind, unable to receive critical security patches or adopt new features. Every attempted upgrade required a full regression cycle that cost $200K+ in consulting fees, and the last two attempts had failed outright due to merge conflicts in overlayered code.

Compounding the problem, their batch processing infrastructure was crumbling. Purchase order processing jobs that once completed in 20 minutes were now timing out at 4 hours during peak season, causing warehouse delays and customer backorders averaging $180K/month in lost revenue.

X++ D365 Finance & Operations Chain of Command SysOperation Framework Azure DevOps LCS Event Handlers Set-Based Operations

Trapped in Technical Debt

The development team had inherited code written by three different consulting firms over five years. No documentation existed, and the original architects were long gone.

🔗 Overlayer Lock-In

47 source files directly modified Microsoft's base classes. Purchasing, inventory, and financial posting were all entangled — changing one broke others. Upgrades were impossible without a full rewrite.

🐌 Batch Timeouts

Row-by-row processing patterns in purchase order and invoicing jobs caused 4-hour runtimes during peak load. The SysOperation framework wasn't utilized — everything ran synchronously on RunBaseBatch.

❌ Failed Upgrades

Two upgrade attempts in the past 18 months had failed. Each attempt cost $200K+ in consulting fees and 6 weeks of regression testing — only to discover irreconcilable merge conflicts.

⚠️ No CI/CD Pipeline

Deployments were manual LCS operations scheduled during weekend maintenance windows. A single deployment took 4+ hours with no rollback capability. Testing was entirely manual.

Systematic Extension Migration

We developed a four-phase migration strategy that systematically replaced every overlayered customization with upgrade-safe extension patterns, while simultaneously modernizing the batch processing architecture.

01 — Dependency Mapping

Built a complete dependency graph of all 47 overlayered files using X++ cross-reference analysis. Identified 12 critical chains and prioritized by business impact. Documented every customization's intent before writing a single line of replacement code.

02 — CoC Migration

Converted all overlayered methods to Chain of Command extensions and Event Handler subscriptions. Used pre/post event patterns for non-intrusive hooks and CoC for behavioral modifications requiring access to the call stack.

03 — Batch Modernization

Replaced all RunBaseBatch implementations with the SysOperation framework. Converted row-by-row cursor loops to set-based operations using insert_recordset, update_recordset, and query-driven batch tasks with parallel threading.

04 — CI/CD Pipeline

Implemented Azure DevOps build pipelines with automated X++ compilation, unit test execution, and deployable package generation. Integrated with LCS for automated deployment to UAT with one-click production promotion.

Extension Patterns & Set-Based Optimization

The most critical migration involved the purchase order posting routine. The original overlayered code modified PurchTableType directly — a class that Microsoft updates in nearly every release. We replaced it with a clean CoC extension that achieves the same behavior without touching base code.

GGC_PurchTableType_Extension.xpp
// Chain of Command — Upgrade-Safe Extension [ExtensionOf(classStr(PurchTableType))] final class GGC_PurchTableType_Extension { public void validateWrite(PurchTable _purchTable) { // Call base implementation first next validateWrite(_purchTable); // Custom validation — non-intrusive if (_purchTable.PurchQty > 0 && !GGC_ApprovalEngine::isApproved( _purchTable.RecId)) { throw error( "@GGC:PurchApprovalRequired"); } } } // Set-Based Batch Processing (replaces cursor loop) public void processInBulk() { PurchLine purchLine; GGC_StagingTable staging; // One-shot insert — no row-by-row loop insert_recordset staging (ItemId, Qty, UnitPrice, VendAccount) select ItemId, PurchQty, PurchPrice, OrderAccount from purchLine where purchLine.PurchStatus == PurchStatus::Backorder; }

The set-based pattern above replaced a cursor loop that was iterating over 50,000+ purchase lines one at a time. The insert_recordset operation completes the same work in a single SQL statement, reducing processing time from 3.5 hours to under 25 minutes.

Measurable Impact

The migration was completed in 14 weeks with zero production incidents. The first D365 version upgrade after migration completed in 3 days — down from the previous 6-week failed attempts.

Metric Before After Improvement
Overlayered Files 47 files 0 files ▲ 100% cleaned
PO Batch Processing 3.5 hours 25 minutes ▲ 8× faster
Version Upgrade Time 6 weeks (failed) 3 days ▲ 93% reduction
Deployment Duration 4+ hours (manual) 35 minutes (automated) ▲ 85% faster
Upgrade Costs Saved $200K per attempt Routine maintenance ▲ $800K saved
Transactional Integrity Intermittent failures 99.9% success rate ▲ Near-perfect
For three years, we couldn't upgrade our ERP. Every attempt cost us $200K and failed. Garnet Grid didn't just fix the code — they gave us a system we can actually maintain. Our first upgrade after the migration took three days. Three days. We're now on the latest version and our batch jobs run while we sleep instead of holding up the warehouse.
IT
Director of IT
Mid-Market Wholesale Distribution — 1,200 Employees

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