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🚀 Backend Scaling Playbook

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Nov 1, 2024

Java Concurrency in Action: Implementing Scatter-Gather Pattern for Efficient API Aggregation

In today’s fast-paced digital world, users demand quick and efficient services, especially on platforms like price comparison websites…

Java Concurrency in Action: Implementing Scatter-Gather Pattern for Efficient API Aggregation

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Oct 29, 2024

Managing Concurrency in High-Traffic Systems: Procducer-Consumer problem with Semaphores and Locks

The Producer-Consumer problem is a classic concurrency issue that arises when multiple producer threads are generating data, tasks, or…

Managing Concurrency in High-Traffic Systems: Procducer-Consumer problem with Semaphores and Locks

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Oct 30, 2024

Mastering Concurrency in Java: Overcoming HashMap Challenges with ConcurrentHashMap

In concurrent programming, managing shared data structures is essential, especially when multiple threads access and modify resources…

Mastering Concurrency in Java: Overcoming HashMap Challenges with ConcurrentHashMap

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Oct 18, 2024

Kafka Stream: Aggregation

Aggregation is a crucial aspect of stream processing for several reasons, each of which contributes to the effectiveness and efficiency of…

Kafka Stream: Aggregation

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🚀 Backend Scaling Playbook

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Oct 18, 2024

Transactional Outbox Pattern: Consistency in Microservices

In a microservices architecture, individual services are designed to operate independently, often handling distinct aspects of business…

Transactional Outbox Pattern: Consistency in Microservices

🚀 Backend Scaling Playbook

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Nov 3, 2024

Solving Uneven Load Distribution Problem for High Traffic System

In high-throughput systems, managing even load distribution is critical for ensuring timely data processing and optimal resource…

Solving Uneven Load Distribution Problem for High Traffic System

🚀 Backend Scaling Playbook

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Oct 30, 2024

Understanding CountDownLatch: One-Time Synchronization for Multi-Threaded Tasks

CountDownLatch is a concurrency utility in Java that allows one or more threads to wait until a set of operations are completed. Acting as…

Understanding CountDownLatch: One-Time Synchronization for Multi-Threaded Tasks

🚀 Backend Scaling Playbook

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Oct 30, 2024

Understanding CyclicBarrier in Java: Streamline Thread Synchronization for Iterative Workflows

What is CyclicBarrier?

Understanding CyclicBarrier in Java: Streamline Thread Synchronization for Iterative Workflows

🚀 Backend Scaling Playbook

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Oct 30, 2024

Distributed Rate Limiter for High-Concurrency Environments with Redis: A Token Bucket Approach

Imagine a stock trading platform where users constantly access real-time stock prices, check portfolio values, and make buy/sell trades. To…

Distributed Rate Limiter for High-Concurrency Environments with Redis: A Token Bucket Approach

🚀 Backend Scaling Playbook

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Oct 29, 2024

Enhancing Concurrency with Read-Write Locks: Improving Data Consistency and Performance

A read-write lock is crucial in scenarios where multiple readers need to access a shared resource simultaneously, but only one writer…

Enhancing Concurrency with Read-Write Locks: Improving Data Consistency and Performance

🚀 Backend Scaling Playbook

🚀 Backend Scaling Playbook

Scalable Distributed System, Backend Performance Optimization, Java Enthusiast. (mazumder.dip.auvi@gmail.com Or, +8801741240520)

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