This blog introduces Kafka Dead Letter Queues (DLQs) and their role in maintaining the reliability of data pipelines. It explores why DLQs are essential for fault tolerance, how they help prevent message loss, and how organizations implement them in Kafka-based architectures. The post also covers DLQ best practices, configuration steps, and monitoring strategies, highlighting solutions like Confluent Cloud for enhanced scalability and observability.

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Search design

summary for search in system design

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System design basic - Unique ID generator

ID generation

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Url Shorterner

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System design basic - consistent hasing

consistent hasing

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System design - Rate limiter

Rate limit

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System design - Payment - Amazon

Decode payment backend architecture

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Decode User backend architecture

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System design - Twitter

System design

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System design basic - media file uploading

System design

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System design basic - cache write policy

System design

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System design - notification system

notification system

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System design basic - HTTP Request vs HTTP Long-Polling vs WebSocket vs Server-Sent Events

System design

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System design - whatsapp (chat app)

System design

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System design prepration share (friend)

System design

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System design Basic - scale up system

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OOD learning

OOD

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demo

Uncategorized2020-01-01

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Anthropic - Building effective agents

Anthropic - Effective context engineering for AI agents

Anthropic - Demystifying evals for AI agents

Claude Code源码分析

AIAgent

Claude Code源码分析

Anthropic - Demystifying evals for AI agents

Anthropic - Building effective agents

Anthropic - Effective context engineering for AI agents

Agent Harness Engineering

RAG Architecture

Anthropic - Introducing Contextual Retrieval (RAG)

Algorithms

Minimum Spanning Tree

Matrix area sum using prefix sum

KMP for pattern searching

Water trapper problems

Prefix Sum problems

Parentheses problems

Pan cake sorting

ComputerNetwork

HTTP

Network - RPC, HTTP, gRPC

Network - TCP/IP Model / HTTP

Network - What happend when you type a URL in browser

RESTFul API

DistributedSystem

Regression Newman with HTML report

Failure detection and handling in distributed system

Debug in distributed system (Splunk)

Dead Letter Queue(DLQ) Handler Service

Kafka Basic

kafka & redis

Deploy Application, CICD pipeline

Transaction in microservices

zero down time & TDD

microservices communication

Monolith VS Microservices

Kafka

Jenkins (CI/CD)

Fault-Tolerance

ELK (Elasticsearch, Logstash, and Kibana)

Debug in Microservices

Cascading Failure

API GateWay

Docker

Flink

Frontend

JavaScript questions

React interview questions

Angular interview questions

Interviews

Links

UB Phone

Java Backend Interview problems

SQL

Java FullStack Interview Knowledge

intro

Java&Spring

StreamBuffer

Set up Basic Spring Boot Environment

Swagger

Spring Cloud Config

Application Monitoring (Actuator & Logging)

Async (@Async & messaging)

Spring Profile and Jasypt

Testing in Spring & Code Coverage

Spring Data Repository & JPA

REST Controller in Spring

Srping Security and Authentication

Srping AOP

Transactions in Spring (monolithic)

Common Annotations in Spring

Spring Boot

Dependency injection and IOC

Spring MVC

crack Java 8 Stream

Java Core

Java Basic

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