Don't just migrate Odoo 18 to 19, future-proof your business.

I've just merged the most critical update to my Nizam ERP project: the "Production-Ready" refactor. It's one thing to build a portfolio project; it's another to make it genuinely deployable, scalable, and safe. My goal was to replace the dangerous synchronize: true (used during initial dev) with a robust, professional-grade migration system. This is a non-negotiable for any real-world application. Here's what I engineered: - Full TypeORM Migration System: I replaced all synchronize flags with a migration-first strategy. - Programmatic Migrations: I built a custom TenantService that, upon new company registration, not only CREATEs a new database but also programmatically runs all tenant migrations on it immediately. This means every new tenant is instantly provisioned with a perfect, up-to-date schema. CI/CD-Ready Deployment: I authored a complete PRODUCTION_RUNBOOK.md and built the production Dockerfile and docker-compose.prod.yml. The system is now fully documented for a CI/CD pipeline, including build, test, migration, deployment, and rollback strategies. - This work (newly merged to main) demonstrates the critical backend systems needed to move an application from a "demo" to a "deployable" state. You can see the full architecture and the production runbook on GitHub: https://lnkd.in/dUhxYPUW #NestJS #Nodejs #Backend #SaaS #MultiTenant #SoftwareArchitecture #PostgreSQL #TypeORM #Docker #DevOps #CI/CD

Why .write() in Loops is Slow (Use Batch Processing Instead) 💡 Did you know? Updating 500 records one by one with .write() can be 10x slower than updating them in batches using the ORM. Most developers still do this 👇 🚫 The Slow Way (Loop + .write()) # ❌ Triggers 500 database writes for rec in records: rec.write({'state': 'done'}) ❌ Problem: Each .write() hits the database → 1 SQL query per record ❌ Also triggers computed fields & @api.depends 500 times ❌ Not scalable for large datasets ✅ The Optimized Way — Batch Write in One Line # ✅ Only 1 write — highly efficient records.write({'state': 'done'}) ✔ Only 1 SQL query ✔ Dependencies & constraints triggered once ✔ Best practice for bulk processing ⚙️ Example — Real Use Case from Manufacturing Module # Mark all draft work orders as 'in_progress' work_orders = self.env['mrp.workorder'].search([('state', '=', 'draft')]) work_orders.write({'state': 'in_progress'}) ⏱ 1000+ records updated under a second 📉 Server CPU usage dropped by ~60% 🧠 When to Use Batch Processing? Scenario Batch Write? Updating many records with same value ✅ Yes Writing inside cron jobs or scheduled scripts ✅ Yes Looping to compute different values per record ⚠ Maybe — depends Need to trigger logic for each record individually ❌ Use loop 🌏 Why This Matters for Businesses In high-volume systems (accounting, inventory, payroll), inefficient .write() usage can: – Slow down workers' UI – Increase server load & hosting cost – Delay automation tasks (emails, reports, approvals) Especially in markets like Australia & Europe — where companies care about performance and scalability — these optimizations create real business value. 🤝 Building High-Performance Odoo Systems I focus on building Odoo systems that are clean, maintainable, and scalable — not just “working code”. If you're working on ERP automation or digital transformation and want to discuss ideas, happy to connect. #Odoo #Odoo19 #Performance #Python #ERPDevelopment #BatchProcessing #SydneyTech #OdooConsultant

 🚀A short video presenting MicroERP-Core – a modular, scalable, and resilient ERP platform built on microservices. 💡 A foundation for faster, secure, and flexible enterprise development with: 🔐 Keycloak & Spring Security for authentication and authorization 🕵️ Audit logging for full traceability ⚡ Fine-grained access control at API and data levels 📩 Real-time notifications to keep users informed #Microservices #ERP #Java #SpringBoot #Angular #Keycloak #Security #AuditLogging #Authorization #Notifications #Architecture #Innovation

🚀 Odoo Migration — It’s Not Just Copy & Paste Every Odoo developer, sooner or later, faces the challenge of migration — moving a project from an older version (like 14 or 15) to a newer one (16, 17, or 18). And let’s be clear: it’s not just exporting data and copying modules. It’s an art that requires planning, patience, and precision. --- 🔹 1. Understand What Migration Really Means Odoo migration happens on two levels: Database Migration: Upgrading your data structure, fields, and relations. Code Migration: Updating your modules, methods, and API calls to match the new version. Each Odoo release brings changes — sometimes small, sometimes massive. So what worked in Odoo 14 might completely break in Odoo 17. --- 🔹 2. Start with Official Tools (OpenUpgrade) If you’re working with community editions, OpenUpgrade is your best friend. It handles database changes version by version and gives detailed migration logs. >💡 Tip: Never skip intermediate versions. Always go step by step — e.g., from 14 → 15 → 16 → 17. --- 🔹 3. Refactor, Don’t Just Fix When migrating custom modules, resist the urge to “just make it run.” Instead, take the chance to refactor your code — clean old logic, remove deprecated APIs, and improve performance. --- 🔹 4. Validate Everything After migration, always test: Models & views Access rights Reports & dashboards Integrations (APIs, payment gateways, etc.) --- 🔹 5. Documentation = Peace of Mind Keep a clear record of what changed — because in 6 months, you’ll thank yourself (or save your team from chaos ). --- 💬 In short: Migration isn’t a one-time task — it’s a process of evolution. It tests your knowledge, patience, and understanding of the Odoo core. Great developers don’t just move code — they move systems forward. #Odoo #OdooDeveloper #Migration #ERP #OpenUpgrade #Python #SoftwareEngineering #BestPractices

I'm pleased to present Nizam ERP, a v1.0 demonstration of a scalable, multi-tenant SaaS platform I've architected and built. This project serves as a technical blueprint for the kind of secure, enterprise-grade applications we engineer. The primary requirement was guaranteeing complete, non-negotiable data isolation between tenants. To achieve this, I implemented a database-per-tenant architecture. How it works: - A new company registers via the main nizam_main database. The system dynamically provisions a brand-new, dedicated PostgreSQL database for that tenant. - Upon login, the user receives a JWT containing their unique tenantId. All subsequent API requests are handled by request-scoped services in NestJS. These services read the tenantId from the token and create a dynamic, on-demand connection only to that tenant's private database. - This model ensures that data is physically isolated at the database level, providing the highest level of security. - The attached demo GIF shows this data isolation in action, where two different companies register and can only access their own, separate employee lists. - The full repository, including the docker-compose environment and Postman collection, is available for review on GitHub: https://lnkd.in/dUhxYPUW #NestJS #Nodejs #Backend #SaaS #MultiTenant #SoftwareArchitecture #PostgreSQL #TypeORM #Docker #ANSoftwareSolutions

In a recent article on The New Stack, Jeroen Van Erp highlights the critical challenge in cloud native development: the inherent friction between developers (who prioritize speed) and platform engineers (who prioritize control). The solution is the Golden Path: a standardized, secure, self-service approach that empowers developers with autonomy and provides platform engineers with built-in security and automated deployment. Let's discuss this fundamental shift to a shared path. Stop by the SUSE booth (110) at #KubeCon + CloudNativeCon North America (Nov. 10-13 in Atlanta, Georgia) to swap stories and learn more about building platforms rooted in open source. Read the full article here https://okt.to/ONIzoA

In a recent article on The New Stack, Jeroen Van Erp highlights the critical challenge in cloud native development: the inherent friction between developers (who prioritize speed) and platform engineers (who prioritize control). The solution is the Golden Path: a standardized, secure, self-service approach that empowers developers with autonomy and provides platform engineers with built-in security and automated deployment. Let's discuss this fundamental shift to a shared path. Stop by the SUSE booth (110) at #KubeCon + CloudNativeCon North America (Nov. 10-13 in Atlanta, Georgia) to swap stories and learn more about building platforms rooted in open source. Read the full article here https://okt.to/tbC3QM

In a recent article on The New Stack, Jeroen Van Erp highlights the critical challenge in cloud native development: the inherent friction between developers (who prioritize speed) and platform engineers (who prioritize control). The solution is the Golden Path: a standardized, secure, self-service approach that empowers developers with autonomy and provides platform engineers with built-in security and automated deployment. Let's discuss this fundamental shift to a shared path. Stop by the SUSE booth (110) at #KubeCon + CloudNativeCon North America (Nov. 10-13 in Atlanta, Georgia) to swap stories and learn more about building platforms rooted in open source. Read the full article here https://okt.to/cb2n9p

🚀 Smarter Odoo Migrations Begin with Automation Migrating or upgrading Odoo Community data across versions is often complex — large databases, custom modules, downtime risks, and manual scripts make it a challenge. Now imagine handling the entire migration automatically, safely, and transparently. That’s exactly what we achieve using Apache Airflow — the power of workflow automation applied to Odoo migrations. ⚙️ --- 💡 Why This Matters ✅ 70% faster migrations with minimal manual effort ✅ Zero downtime upgrades — business runs uninterrupted ✅ Automated validation & backups for complete data integrity ✅ Real-time monitoring and traceable workflows ✅ Scalable for multiple Odoo databases or clients ⚙️ How It Works Airflow orchestrates the full Odoo migration lifecycle: Backup → Transform → Migrate → Validate → Notify Each step runs automatically, ensuring accuracy, rollback safety, and visibility — all while reducing project timelines drastically. 🔗 Tech Stack 🟣 Odoo Community / Enterprise 🟣 Apache Airflow – Workflow orchestration 🟣 PostgreSQL & OpenUpgrade – Data migration engine 🟣 Python Automation Scripts – Precision control and validation --- 💼 The Result Organizations leveraging Airflow for Odoo migration gain: ✔️ Speed, Stability, and Scalability ✔️ Predictable delivery and audit-ready transparency ✔️ A modern foundation for continuous Odoo upgrades --- ✨ Bringing data engineering automation into the Odoo ecosystem is transforming how businesses handle migrations — faster, safer, and smarter than ever before. #Odoo #OdooCommunity #OdooMigration #ApacheAirflow #Automation #DigitalTransformation #ERPIntegration #OpenSource #OpenUpgrade #Python #Odoo19 #OdooEdgeSolutions #OdooDevelopers #DataEngineering #BusinessAutomation #OdooConsulting #CloudMigration #FabienPinckaers #RayCarnes

In a recent article on The New Stack, Jeroen Van Erp highlights the critical challenge in cloud native development: the inherent friction between developers (who prioritize speed) and platform engineers (who prioritize control). The solution is the Golden Path: a standardized, secure, self-service approach that empowers developers with autonomy and provides platform engineers with built-in security and automated deployment. Let's discuss this fundamental shift to a shared path. Stop by the SUSE booth (110) at #KubeCon + CloudNativeCon North America (Nov. 10-13 in Atlanta, Georgia) to swap stories and learn more about building platforms rooted in open source. Read the full article here https://okt.to/iT8o7X