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Showing posts with the label Englsh

Asynchronous Processing in Java Microservices (Kafka, Retry & Dead Letter Queue Guide)

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 Modern enterprise applications must handle high traffic, distributed systems, and real-time processing. Traditional synchronous APIs often become bottlenecks under heavy load. 👉 This is why asynchronous processing has become a core pattern in Java microservices architectures. Using: Apache Kafka Retry mechanisms Dead Letter Queues (DLQ) organizations can build scalable and fault-tolerant systems. ➡️ This guide explains how asynchronous processing works in Java microservices and how to implement reliable event-driven systems. đź–Ľ️ Asynchronous Microservices Architecture 🎯 Why Asynchronous Processing? Synchronous systems often face: High API latency Blocking requests Cascading failures Poor scalability 👉 Asynchronous processing solves this by decoupling services. Benefits: Better scalability Improved resilience Faster response times Fault isolation 🔑 Core Components 🔹 Producer Publishes events/messages. Example: Order created Payment processed Document uploaded 🔹 Broker (Kafka)...

Jira vs ServiceNow – Which ITSM Tool Is Better in 2026?

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  Jira vs ServiceNow – Which ITSM Tool Is Better? Introduction Choosing the right IT Service Management (ITSM) tool is critical for enterprise efficiency. Two of the most popular platforms in this space are Jira (with Jira Service Management) and ServiceNow . Both tools are widely used for: incident management service requests change management IT operations But they differ significantly in architecture, flexibility, and enterprise capabilities . In this article, we compare Jira and ServiceNow to help you decide which tool is better for your use case. What is Jira? Jira is a popular issue tracking and project management tool developed by Atlassian. It is widely used by: software development teams agile teams DevOps organizations With Jira Service Management (JSM) , it also supports ITSM workflows like incident and service request management. Key strengths: highly customizable workflows strong integration with DevOps tools user-friendly interface cost-effective compared to enterpr...

Camunda LDAP Integration – Complete Guide (Configuration, Common Issues & Best Practices)

 Integrating Camunda BPM with LDAP / Active Directory is a very common enterprise requirement for centralized user authentication and authorization. While Camunda provides built-in LDAP support, misconfiguration often leads to login failures, missing groups, or authorization issues in production . This blog explains: How Camunda LDAP integration works Where to configure LDAP A working configuration example Common problems and their fixes Production best practices 1️⃣ Why Integrate Camunda with LDAP? LDAP integration allows Camunda to: Authenticate users against Active Directory / LDAP Synchronize users and groups Apply group-based authorizations Avoid local Camunda user management 👉 Almost all enterprise Camunda deployments use LDAP. 2️⃣ Where to Configure LDAP in Camunda 7 LDAP configuration is done in: đź“„ bpm-platform.xml (Location depends on app server: Tomcat / WildFly / JBoss) Example (Tomcat): $CAMUNDA_HOME /conf/bpm-platform.xm...

Camunda 7 External Task Retry Not Working – Fix

Camunda 7 External Task Retry Not Working – Root Cause & Fix (Production Guide) External Tasks are widely used in Camunda 7 to decouple business logic from the process engine. However, a very common production issue teams face is: ❌ External Task retries are not working as expected. In this blog, we’ll cover why retries fail , real root causes , and how to fix them safely in production . 1️⃣ How External Task Retry Works in Camunda 7 In Camunda 7, retries are controlled by: retries count lockDuration lockExpirationTime Failure handling logic in the worker A retry happens only when the worker explicitly reports failure . 2️⃣ Most Common Reasons Retries Don’t Work ❌ 1. handleFailure() Not Called Correctly Wrong implementation (very common): try { // business logic } catch (Exception e) { throw e; // ❌ This does NOT trigger retry } Correct implementation: externalTaskService.handleFailure( externalTask, "Processing failed...