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  Introduction Dans les systèmes basés sur workflows, les erreurs ne sont pas rares — elles sont inévitables . Avec Camunda 8 , la gestion des erreurs repose sur trois piliers : Incidents Retries (réessais) Compensation (rollback métier) Ce guide explique comment construire des workflows résilients et robustes . 🧠 Types d’Erreurs dans Camunda 8 🔹 Erreurs techniques Timeout API Panne réseau Erreur base de données 🔹 Erreurs métier Validation échouée Règles DMN invalides 👉 Ces erreurs doivent être gérées différemment dans BPMN. ⚠️ Incidents dans Camunda 8 📌 Définition Un incident est créé lorsque le workflow ne peut plus continuer. 🔹 Cas typiques : Retries épuisés Variables invalides Erreur non gérée 🔴 Exemple : Appel API échoue Retries utilisés Incident créé Workflow bloqué 👉 Une intervention manuelle est nécessaire via Operate. 🔧 Résolution : Corriger la cause Mettre à jour les données Relancer le workflow 🔁 Mécanisme de Retry 🔹 Fonctionnement : Chaque tâche = un job Wor...

  Introduction In workflow-driven systems, failures are not exceptions—they are expected . With Camunda 8 Official Documentation  error handling is built into the engine using incidents, retries, and BPMN-based compensation patterns . This blog covers: Incident handling in Camunda 8 Retry mechanisms (job-level resilience) Compensation patterns in workflows Production-ready error handling strategies 🧠 Understanding Errors in Camunda 8 Types of Errors: Technical Errors → API failure, DB issues Business Errors → Validation failures, rules 👉 Camunda does not automatically handle all errors — you must design handling logic in BPMN. ⚠️ Incidents in Camunda 8 What is an Incident? An incident occurs when a workflow cannot proceed and is stuck at a step. When are Incidents Created? Job retries exhausted Invalid variables Decision evaluation failure Unhandled BPMN error 🔴 Example Flow: Service task calls external API API fails Retries exhausted Incident created → workflow stops ...

 In modern distributed systems, services rarely work in isolation. They must communicate efficiently, reliably, and securely. Choosing the right communication pattern directly affects: Performance Scalability Fault tolerance System complexity This guide explains the most important microservices communication patterns with real examples. 📌 Why Communication Patterns Matter Poor communication design leads to: Cascading failures Tight coupling High latency Complex debugging Good communication design enables: ✔ Resilience ✔ Loose coupling ✔ Scalability ✔ Observability 🧭 Two Main Communication Types Microservices communication falls into two categories: Type Description Synchronous Immediate response required Asynchronous Message-based, non-blocking 🖼️ Communication Overview 4 1️⃣ REST (Synchronous HTTP) Most common pattern. Service A calls Service B via HTTP request. Example RestTemplate restTemplate = new RestTemplate (); String response = restTemplate . getForObject ( ...