Clean REST API in Odoo: How I Build Secure & Scalable Endpoints While Odoo traditionally uses JSON-RPC, modern integrations often require REST API endpoints—especially for mobile apps, external platforms, or microservices. Here’s how I built a clean, secure REST API in Odoo using controllers 👇 🛠 Sample REST Endpoint (Controller-Based) from odoo import http from odoo.http import request, Response import json class OrderAPIController(http.Controller): @http.route('/api/orders', type='json', auth='api_key', methods=['GET'], csrf=False) def get_orders(self, **kwargs): orders = request.env['sale.order'].sudo().search_read( [], ['name', 'partner_id', 'amount_total', 'state'] ) return {"status": "success", "data": orders} @http.route('/api/order/create', type='json', auth='api_key', methods=['POST'], csrf=False) def create_order(self, **data): try: order = request.env['sale.order'].sudo().create({ 'partner_id': data.get('partner_id'), 'date_order': data.get('date_order'), }) return {"status": "created", "order_id": order.id} except Exception as e: return Response(json.dumps({"error": str(e)}), status=400, mimetype='application/json') ✅ Best Practices I Follow ✔ Use auth='api_key' or OAuth—never auth='public' for sensitive data ✔ Use POST for create/update, GET for retrieving data ✔ Filter fields with search_read to avoid large payloads ✔ Always wrap responses in JSON format (status + data/error) ✔ Log failed API calls for debugging & auditing 🚀 Real Use Case from My Work I built a REST API to sync customer and order data between Odoo & a Shopify-based online store. Result: Orders synced in under 5 seconds Inventory auto-updated Manual data entry removed completely I’m growing my network with businesses who need: ✔ Custom REST API development in Odoo ✔ System integration & process automation ✔ Remote or hybrid Odoo technical expertise If your business needs clean, secure ERP APIs — happy to connect and collaborate. #OdooDeveloper #OdooConsultant #ERPImplementation #ERPOptimization #BusinessAutomation #DigitalTransformation #AustralianBusiness #SydneyTech #MelbourneTech #BrisbaneBusiness #OdooPerformance #OdooExpert #PostgreSQL #PythonDeveloper #RemoteDeveloper #HiringInAustralia #TechConsultant
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🚀 𝐒𝐭𝐨𝐩 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐁𝐚𝐜𝐤𝐞𝐧𝐝𝐬 𝐟𝐫𝐨𝐦 𝐒𝐜𝐫𝐚𝐭𝐜𝐡! 𝐖𝐡𝐲 𝐒𝐮𝐩𝐚𝐛𝐚𝐬𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫'𝐬 𝐍𝐞𝐰 𝐁𝐞𝐬𝐭 𝐅𝐫𝐢𝐞𝐧𝐝 Tired of spending days configuring databases, APIs, and authentication before you even start building your core features? The development world has a game-changer: Supabase It’s more than just a database; it’s an open-source Backend-as-a-Service (BaaS) that's making serious waves! 🌊 𝐖𝐡𝐲 𝐭𝐡𝐞 𝐅𝐚𝐦𝐞? (𝐓𝐡𝐞 𝐒𝐮𝐩𝐚𝐛𝐚𝐬𝐞 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞) Supabase has gained massive popularity as a powerful, open-source alternative to proprietary platforms like Firebase. Here's why developers are flocking to it: 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋 𝐏𝐨𝐰𝐞𝐫𝐡𝐨𝐮𝐬𝐞: At its core, Supabase uses PostgreSQL Türkiye , one of the world's most trusted and robust relational databases. This means you get enterprise-grade features like speed, security, and complex SQL querying. 𝐀𝐥𝐥-𝐢𝐧-𝐎𝐧𝐞 𝐓𝐨𝐨𝐥𝐤𝐢𝐭: It's a complete package that includes: - Postgres Database (with a friendly web dashboard). - Authentication (Email, Magic Link, Social Logins - out of the box!). - Instant APIs (RESTful and GraphQL APIs are automatically generated from your database schema). - Realtime Subscriptions (for live updates). - Storage (for files like images and videos). - Edge Functions (for running custom, globally-distributed serverless logic). 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 & 𝐏𝐨𝐫𝐭𝐚𝐛𝐥𝐞: Unlike proprietary solutions, Supabase is OpenSource. This gives developers the ultimate flexibility - you're not locked into a single vendor and can even self-host your project if needed. 💡 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐑𝐞𝐚𝐥 𝐖𝐨𝐫𝐥𝐝 Supabase's built-in Realtime capabilities (which leverage Postgres's native replication) make it a perfect fit for modern, interactive applications: 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐂𝐡𝐚𝐭 𝐀𝐩𝐩𝐬: Instantly broadcast messages and sync online user presence. 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐓𝐨𝐨𝐥𝐬: Shared whiteboards or multi-user document editors where changes need to be reflected instantly. 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Its native Vector support allows for storing and searching vector embeddings, crucial for integrating machine learning models. 𝐍𝐞𝐞𝐝 𝐚𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 𝐭𝐨 𝐌𝐚𝐱𝐢𝐦𝐢𝐳𝐞 𝐒𝐩𝐞𝐞𝐝 𝐚𝐧𝐝 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲? While Supabase simplifies the backend, building a custom, scalable solution requires expert architecture, optimal Row Level Security policies, and seamless integration with your frontend framework. At TheScopeMatters, we specialize in leveraging cutting-edge tools like Supabase to deliver fast and reliable custom software solutions. We ensure your project's scope is not just met, but optimized for performance and future growth. Contact us today for accelerated development: 𝑻𝒉𝒆𝑺𝒄𝒐𝒑𝒆𝑴𝒂𝒕𝒕𝒆𝒓𝒔.𝒄𝒐𝒎 #Supabase #PostgreSQL #BackendAsAService #WebDevelopment #SoftwareDevelopment #OpenSource #Realtime #BaaS #TechStartup
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🚀 (26-48) 𝗠𝗼𝘀𝘁 𝗔𝘀𝗸𝗲𝗱 𝗧𝗖𝗦 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 .𝗡𝗲𝘁 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 (𝟭𝟬+ 𝗘𝘅𝗽) 🚀 26. How do you handle secrets, connection strings, and configuration management securely in your applications (.NET secrets, Azure Key Vault, AWS Secrets Manager, etc.)? 27. What is your approach to logging sensitive data and enforcing GDPR/PII compliance in full-stack applications? 28. How do you evaluate performance bottlenecks (page load, API latency, database query time) and what tools do you use? 29. How have you optimised front-end performance (bundle/minify, lazy load, server-side rendering, SPA optimisations) in full-stack apps? 30. How do you optimise back-end performance (profiling, SQL execution plans, caching, connection pooling) in .NET applications? 31. How do you handle distributed systems concerns (microservices architecture, service mesh, API gateways) in a .NET full-stack context? 32. What is your experience with containerisation (Docker, Kubernetes) for .NET full-stack applications and CI/CD pipelines? 33. How do you use logging/metrics/tracing across microservices built in .NET and front-end SPA frameworks? 34. How do you design and enforce fault tolerance, retries, circuit breakers, bulkheads in your .NET service layer? 35. How do you manage state in front-end and back-end (session, cookies, JWT, distributed cache) in full-stack apps? 36. How do you design for scalability (horizontal scaling, stateless services, database sharding, read replicas) in your architecture? 37. How do you handle full-stack database design decisions (SQL vs NoSQL, data modelling, relational integrity) in .NET apps? 38. What is your strategy for front-end/back-end error handling and user-friendly error display? 39. How do you design and implement secure API gateways or BFF (Backend For Frontend) patterns in a .NET full-stack solution? 40. How do you ensure modularity and reuse across multiple front-end apps and .NET back-ends in an enterprise landscape? 41. What is your testing strategy in full-stack .NET apps (unit tests, integration tests, E2E, UI tests)? 42. How do you mock dependencies, configuration, middleware, DbContext in tests for .NET full-stack apps? 43. How do you measure code quality (static analysis, code coverage, SonarQube) in your projects? 44. How do you manage technical debt, code refactoring and legacy .NET Framework migration to .NET Core/.NET 6? 45. How do you approach a migration of a legacy ASP.NET (WebForms/WCF) application to a modern .NET Core full-stack architecture? 46. How do you use front-end frameworks (Angular/React/Vue) with .NET back-end and handle API versioning, authentication and build pipeline integration? 47. How do you handle cross-origin resource sharing (CORS) and secure your SPA front-end interacting with .NET APIs? 48. How do you implement front-end state management (Redux/NGRX) and service communication for back-end .NET APIs?
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Assalamualaikum Developers, Today I’m sharing my new experience with Multer — a powerful middleware for Node.js that helps handle multipart/form-data requests. It’s commonly used for file uploads, such as uploading to local storage or cloud services like Google Cloud Storage. In most cases where we need an upload system, Multer provides the simplest and most efficient solution. It allows you to manage file storage, naming, and destination paths easily. ------------------ 📦 Setup Example const multer = require('multer'); // Set up storage for uploaded files const storage = multer.diskStorage({ destination: (req, file, cb) => { cb(null, 'uploads/'); // Folder where files will be saved }, filename: (req, file, cb) => { cb(null, Date.now() + '-' + file.originalname); // Unique file name } }); // Create the multer instance const upload = multer({ storage: storage }); module.exports = upload; ------------------ ⚙️ Integrating Multer with Express const express = require('express'); const app = express(); const port = 3000; // Import the upload middleware const upload = require('./upload'); // Set up a route for file uploads app.post('/upload', upload.single('file'), (req, res) => { // Handle the uploaded file res.json({ message: 'File uploaded successfully!' }); }); app.listen(port, () => { console.log(`Server is running on port ${port}`); }); ------------------- 🧾 Simple HTML Form <body> <h1>File Upload</h1> <form action="/https/www.linkedin.com/upload" method="POST" enctype="multipart/form-data"> <input type="file" name="file" required /> <button type="submit">Upload</button> </form> </body> ✅ Summary: Multer is an excellent tool for managing file uploads in Node.js applications. It provides flexibility for handling storage destinations, filenames, and file limits — making it a go-to choice for most upload systems.
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Mastering Database Design: Enum vs. Table for Status Fields After a few years diving deep into Spring Boot and optimizing database schemas, one question consistently comes up in mentorship sessions that sparks the most insightful architectural debates: 🧩 When should you use an Enum for a status field, and when is a dedicated Table the undisputed champion? There's no one-size-fits-all answer. It's a strategic decision that hinges on your project's unique business requirements and future trajectory. But fear not, fellow developers! I've distilled my experience into 5 critical selection criteria to guide your decision-making 1. Extendability: Future-Proofing Your Application Yes, they'll change/grow: Choose a Table. This empowers you to add, modify, or deprecate values without a single line of code change or a redeployment. Essential for dynamic business environments. No, they're static: Opt for an Enum. Simpler, clearer, and offers compile-time safety. Think of truly immutable states. 2. Localization: Speaking Your Users' Language Multilingual support needed? A Table is your only real choice. It seamlessly allows for translations across different locales, ensuring your application resonates globally. Enums are static and notoriously difficult to localize effectively without complex workarounds. 3. Filtering & Reporting: Data-Driven Decisions Values frequently used in analytics, dashboards, or complex reports? Embrace a Table. It provides unparalleled flexibility for querying, joining, and scaling your reporting capabilities. Your data analysts will thank you. 4. Change Frequency: Business Agility Business or admin users need to manage/modify these values directly? Absolutely a Table. This puts control in the hands of those closest to the business, making your system dynamic and configurable without developer intervention. Values are stable and developer-controlled? An Enum is perfectly fine. 5. Source of Truth: Who Defines the Rules? If the user/admin defines and manages them: Table. It's a true data-driven configuration. If the developer/code dictates them: Enum. These are inherent code-level definitions. 💡 Practical Wisdom from Spring Boot & JPA: I consistently leverage Enums for truly fixed, core business states like OrderStatus.ACTIVE, OrderStatus.INACTIVE, or PaymentStatus.PAID. However, when values are dynamic, demand localization, or are directly managed by business rules (e.g., ProductCategory, ServiceType), I always architect around a dedicated database table. 🧠 The core lesson: This decision isn't just technical; it's a strategic balance between flexibility, clarity, maintainability, and ultimately, business agility. Making the right call early on will save you countless headaches down the line. #SpringBoot #Java #DatabaseDesign #BackendDevelopment #SoftwareArchitecture #JPA #CleanCode #SystemDesign #TechLeadership #Mentorship #ProgrammingTips #SoftwareEngineer
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Data Design - Why I'm Leaning Towards PostgreSQL for E-Commerce After mapping the user journey and API flows, the next critical decision is the database. The choice defines the system's reliability, scalability, and complexity. For my e-commerce project, I'm focusing on PostgreSQL, and here's why. Why a Relational Database (PostgreSQL) is a Strong Fit: An e-commerce platform isn't just about storing data; it's about guaranteeing its accuracy, especially for money and inventory. This is where PostgreSQL shines. 1. ACID Compliance is Non-Negotiable: Atomicity: A customer's order is a single transaction. INSERT into orders, INSERT into order_items, and UPDATE product inventory must all succeed or all fail together. No partial orders. Consistency: The database rules (e.g., order_total must be positive, foreign keys must be valid) are always enforced. Isolation: If two people buy the last item simultaneously, the database handles this conflict gracefully, preventing overselling. Durability: Once an order is confirmed, it's written to disk. A system crash won't lose that data. 2.Powerful RELATIONAL Model: The entities in an e-commerce system are inherently relational. SELECT users.name, products.name, order_items.quantity FROM orders JOIN users ON orders.user_id = users.id JOIN order_items ON orders.id = order_items.order_id JOIN products ON order_items.product_id = products.id WHERE orders.id = 'order_abc123'; This makes generating reports, order histories, and admin dashboards straightforward. 3.Rich Data Types: PostgreSQL offers JSONB to store flexible data (like product specifications or dynamic attributes) while still allowing querying within that JSON. This gives the flexibility of NoSQL where needed, without sacrificing structure. Where Might NoSQL Fit In? While PostgreSQL handles the core transaction system, I would consider a NoSQL option like MongoDB or Redis for specific, non-critical features: User Session Storage: Storing temporary cart data or login sessions in a key-value store like Redis for blazing-fast performance. Product Catalog Search: While PostgreSQL has good full-text search, a dedicated search engine like Elasticsearch might be better for extremely complex, faceted search across millions of products. Real-time Analytics: For high-volume event data like "user clicked product X," a time-series database could be more efficient. My Conclusion (For Now): For the core of an e-commerce system Users, Products, Orders, and Payments—the safety and integrity provided by a relational database like PostgreSQL are paramount. You can build the entire application on it confidently. NoSQL solutions become valuable as complementary tools for specific, high-scale needs at a later stage. #Day4 #DatabaseDesign #PostgreSQL #SystemDesign #EcommerceTech #ACID #BackendDevelopment #LearningInPublic
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Check out my in progress project: https://lnkd.in/dqbWyjQd 🗄️ Article 4: Database Design for Cloud POS (PostgreSQL + Prisma ORM) In this part, we’ll connect your POS system to a real database using PostgreSQL and Prisma ORM. ⚙️ Step 1: Install Prisma and PostgreSQL Client • 𝗻𝗽𝗺 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗽𝗿𝗶𝘀𝗺𝗮 --𝘀𝗮𝘃𝗲-𝗱𝗲𝘃 • 𝗻𝗽𝗺 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 @𝗽𝗿𝗶𝘀𝗺𝗮/𝗰𝗹𝗶𝗲𝗻𝘁 • 𝗻𝗽𝘅 𝗽𝗿𝗶𝘀𝗺𝗮 𝗶𝗻𝗶𝘁 📝 This will prisma folder and a file called schema.prisma and a .env file. 🧩 Step 2: Configure Database Connection In your .env file, update the connection string: DATABASE_URL="postgresql://user:password@localhost:5432/cloudpos?schema=public" Make sure PostgreSQL is running locally (or use a cloud service like Supabase or Neon.tech). 🧱 Step 3: Define Your Database Models Edit prisma/schema.prisma and add your POS entities: 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 𝗰𝗹𝗶𝗲𝗻𝘁 { 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 = "𝗽𝗿𝗶𝘀𝗺𝗮-𝗰𝗹𝗶𝗲𝗻𝘁-𝗷𝘀" } 𝗱𝗮𝘁𝗮𝘀𝗼𝘂𝗿𝗰𝗲 𝗱𝗯 { 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 = "𝗽𝗼𝘀𝘁𝗴𝗿𝗲𝘀𝗾𝗹" 𝘂𝗿𝗹 = 𝗲𝗻𝘃("𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘_𝗨𝗥𝗟") } 𝗺𝗼𝗱𝗲𝗹 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 { 𝗶𝗱 𝗜𝗻𝘁 @𝗶𝗱 @𝗱𝗲𝗳𝗮𝘂𝗹𝘁(𝗮𝘂𝘁𝗼𝗶𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁()) 𝗻𝗮𝗺𝗲 𝗦𝘁𝗿𝗶𝗻𝗴 𝗽𝗿𝗶𝗰𝗲 𝗙𝗹𝗼𝗮𝘁 𝘀𝘁𝗼𝗰𝗸 𝗜𝗻𝘁 @𝗱𝗲𝗳𝗮𝘂𝗹𝘁(𝟬) 𝗰𝗿𝗲𝗮𝘁𝗲𝗱𝗔𝘁 𝗗𝗮𝘁𝗲𝗧𝗶𝗺𝗲 @𝗱𝗲𝗳𝗮𝘂𝗹𝘁(𝗻𝗼𝘄()) } 𝗺𝗼𝗱𝗲𝗹 𝗦𝗮𝗹𝗲 { 𝗶𝗱 𝗜𝗻𝘁 @𝗶𝗱 @𝗱𝗲𝗳𝗮𝘂𝗹𝘁(𝗮𝘂𝘁𝗼𝗶𝗻𝗰𝗿𝗲𝗺𝗲𝗻𝘁()) 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗜𝗱 𝗜𝗻𝘁 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝘆 𝗜𝗻𝘁 𝘁𝗼𝘁𝗮𝗹 𝗙𝗹𝗼𝗮𝘁 𝗰𝗿𝗲𝗮𝘁𝗲𝗱𝗔𝘁 𝗗𝗮𝘁𝗲𝗧𝗶𝗺𝗲 @𝗱𝗲𝗳𝗮𝘂𝗹𝘁(𝗻𝗼𝘄()) 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 @𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻(𝗳𝗶𝗲𝗹𝗱𝘀: [𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗜𝗱], 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀: [𝗶𝗱]) } ⚒️ Step 4: Apply Migrations Run the migration command to create your database tables: • 𝗻𝗽𝘅 𝗽𝗿𝗶𝘀𝗺𝗮 𝗺𝗶𝗴𝗿𝗮𝘁𝗲 𝗱𝗲𝘃 --𝗻𝗮𝗺𝗲 𝗶𝗻𝗶𝘁 🧠 Step 5: Access Data from API Routes Now modify /app/api/products/route.ts to use Prisma 𝗶𝗺𝗽𝗼𝗿𝘁 { 𝗡𝗲𝘅𝘁𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 } 𝗳𝗿𝗼𝗺 '𝗻𝗲𝘅𝘁/𝘀𝗲𝗿𝘃𝗲𝗿'; 𝗶𝗺𝗽𝗼𝗿𝘁 { 𝗣𝗿𝗶𝘀𝗺𝗮𝗖𝗹𝗶𝗲𝗻𝘁 } 𝗳𝗿𝗼𝗺 '@𝗽𝗿𝗶𝘀𝗺𝗮/𝗰𝗹𝗶𝗲𝗻𝘁'; 𝗰𝗼𝗻𝘀𝘁 𝗽𝗿𝗶𝘀𝗺𝗮 = 𝗻𝗲𝘄 𝗣𝗿𝗶𝘀𝗺𝗮𝗖𝗹𝗶𝗲𝗻𝘁(); 𝗲𝘅𝗽𝗼𝗿𝘁 𝗮𝘀𝘆𝗻𝗰 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗚𝗘𝗧() { 𝗰𝗼𝗻𝘀𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 = 𝗮𝘄𝗮𝗶𝘁 𝗽𝗿𝗶𝘀𝗺𝗮.𝗽𝗿𝗼𝗱𝘂𝗰𝘁.𝗳𝗶𝗻𝗱𝗠𝗮𝗻𝘆(); 𝗿𝗲𝘁𝘂𝗿𝗻 𝗡𝗲𝘅𝘁𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲.𝗷𝘀𝗼𝗻(𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀); } 𝗲𝘅𝗽𝗼𝗿𝘁 𝗮𝘀𝘆𝗻𝗰 𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗣𝗢𝗦𝗧(𝗿𝗲𝗾: 𝗥𝗲𝗾𝘂𝗲𝘀𝘁) { 𝗰𝗼𝗻𝘀𝘁 𝗱𝗮𝘁𝗮 = 𝗮𝘄𝗮𝗶𝘁 𝗿𝗲𝗾.𝗷𝘀𝗼𝗻(); 𝗰𝗼𝗻𝘀𝘁 𝗻𝗲𝘄𝗣𝗿𝗼𝗱𝘂𝗰𝘁 = 𝗮𝘄𝗮𝗶𝘁 𝗽𝗿𝗶𝘀𝗺𝗮.𝗽𝗿𝗼𝗱𝘂𝗰𝘁.𝗰𝗿𝗲𝗮𝘁𝗲({ 𝗱𝗮𝘁𝗮 }); 𝗿𝗲𝘁𝘂𝗿𝗻 𝗡𝗲𝘅𝘁𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲.𝗷𝘀𝗼𝗻(𝗻𝗲𝘄𝗣𝗿𝗼𝗱𝘂𝗰𝘁, { 𝘀𝘁𝗮𝘁𝘂𝘀: 𝟮𝟬𝟭 }); } Run and verify yourapplication 🚀 Next Up: In Article 5, we’ll integrate NextAuth.js for secure authentication with JWT and protected API routes. #Nextjs #Tauri #CloudPOS #FullStackDevelopment #SoftwareArchitecture #WebDevelopment #TypeScript #CrossPlatform
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🚀 Scaling B2B E-commerce: A Deep Dive into Cloud-Native Architecture Thrilled to share a glimpse into a production-grade B2B E-commerce platform I recently architected and delivered. This is Full Stack mastery—from a React frontend to a resilient Java/Spring Boot backend, all deployed on a highly optimized, cloud-native stack. The challenge was scaling transactions, ensuring consistency, and maintaining sub-second latency under heavy load. The solution? A meticulously designed microservices ecosystem. 🏛️ The Advanced Microservices Architecture Key Architectural Pillars: Orchestration: All services are containerized with Docker and managed by Kubernetes (K8s). IaC: The entire cloud infrastructure (EKS cluster, AWS PostgreSQL, Kafka) is provisioned and managed using Terraform for full automation and immutable infrastructure. Service Discovery & Routing: Eureka and a central API Gateway manage traffic, perform request routing, and enforce security policies. Asynchronous Communication: Kafka is the backbone for high-throughput, fault-tolerant B2B data exchange, especially for cross-service events. ⚙️ Deep-Dive into Resilience & Optimization Building robust systems means engineering for failure and hyper-efficiency. Transaction Management:Saga Pattern (Choreography): Used Kafka events to ensure data consistency across non-atomic operations like Cart→Checkout→OMS→Wallet services. API Performance:Optimized REST APIs: Leveraged Redis as a distributed cache for read-heavy resources (e.g., product catalog/banners), drastically reducing database load and improving response times. Data Efficiency:Database Query Optimization: Focused on rewriting complex joins and tuning execution plans in AWS PostgreSQL to handle large-volume transactional queries efficiently. Security & Access:JWT/OAuth2.0 with RBAC: Implemented JSON Web Tokens (JWT) via an OAuth flow. The API Gateway enforces Role-Based Access Control (RBAC) before traffic hits the microservices. Data Security:Encryption/Decryption: Implemented AES-256 standard for encrypting sensitive payload data (e.g., payment details) both in transit and at rest, ensuring maximum security and compliance. 🚨 Production and Client Support Excellence My approach extends beyond code—it’s about operational maturity: CI/CD Pipeline: Fully automated deployment to K8s via Jenkins, including automated security and quality gates. Proactive Bug Fixing: Utilizing centralized logging, monitoring, and distributed tracing to identify and resolve production issues with minimal MTTR (Mean Time to Resolution). Client Support: Seamlessly transitioning fixes and enhancements from Dev to Production using rolling updates in K8s, ensuring zero-downtime deployments and high system stability for our B2B clients. #JavaFullStack #Microservices #Kubernetes #DevOps #React #Terraform #Kafka #AdvancedEngineering #ProductionSupport #APIOptimization
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Cache Usage in Odoo: Speed Up Your Computed Methods One of the easiest ways to improve performance in Odoo is proper use of caching. Many developers recompute values unnecessarily — slowing down reports, dashboards, and API responses. 🛠 Common Scenario A computed field is accessed hundreds of times in a loop Each access triggers the computation again System slows down unnecessarily @api.depends('line_ids.price_total') def _compute_total_amount(self): for record in self: record.total_amount = sum(record.line_ids.mapped('price_total')) If total_amount is used multiple times → recomputation happens every time. ✅ Optimize with Cache Odoo provides caching decorators: from odoo import api, models from functools import lru_cache class SaleOrder(models.Model): _inherit = "sale.order" @api.depends('order_line.price_total') @api.depends_context('uid') def _compute_total_amount(self): for record in self: record.total_amount = sum(record.order_line.mapped('price_total')) Tips: Use store=True if the field does not change often Use @lru_cache for expensive computations that can be cached globally Cache repeated database calls whenever possible 🚀 Real Impact Invoice generation: 5s → 1.2s Reduced CPU usage Reports & dashboards respond faster I’m looking to collaborate with businesses: ✔ Optimize Odoo performance ✔ Automate ERP processes ✔ Scale Odoo efficiently If your ERP system is slow or reports are lagging — let’s connect! #OdooDeveloper #OdooConsultant #ERPImplementation #ERPOptimization #BusinessAutomation #DigitalTransformation #AustralianBusiness #SydneyTech #MelbourneTech #BrisbaneBusiness #OdooPerformance #OdooExpert #PostgreSQL #PythonDeveloper #RemoteDeveloper #HiringInAustralia #TechConsultant
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Choosing the right database architecture for your multi-tenant SaaS application is critical. I've worked with shared databases, database-per-tenant, and schema-per-tenant patterns, but each has distinct trade-offs. In my latest post, I break down when each makes sense and why starting simple usually wins. Read more: https://lnkd.in/ecu2vEub #Laravel #PHP #SaaS #DatabaseDesign
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