Search results for Distributed-Systems

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dzone.com /1 month ago

Clock Synchronization and Ordering Events in Distributed Systems: Lamport Clocks vs. Vector Clocks

Building distributed systems teaches you many lessons, but few are as counterintuitive as this: the clock on your machine is lying to you. The assumption that you can look at two e...

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dzone.com /1 month ago

Ensuring Data Consistency in Distributed Systems With the Transactional Outbox Pattern

In modern distributed systems, it is common to face the "dual-write" problem. This occurs when a service needs to perform two actions simultaneously: mutate state in a database and...

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dzone.com /1 month ago

When One Giant Payload Must Serve Many Small Consumers: Designing a Scalable Fanout Service

In distributed systems, size is rarely just a number. A producer may generate a rich, hierarchical product object containing items, SKUs, GTINs, variants, attributes, and region-sp...

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dzone.com /1 month ago

Advanced Middleware Architecture For Secure, Auditable, and Reliable Data Exchange Across Systems

The increasing need for a system to exchange secure, auditable and reliable data among heterogeneous systems necessitates middleware that incorporates performance, security and tra...

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dzone.com /3 weeks ago

Designing Agentic Systems Like Distributed Systems

Agentic development is rapidly becoming one of the most talked-about paradigms in software development. The talk is not just of using AI to assist in coding but of using systems wh...

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dzone.com /1 week ago

How Retry Storms Crash API-Led Systems: Bounded Reliability Patterns for Distributed Architectures

Modern API-led architectures are built for resilience. We add:

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javacodegeeks.com /2 weeks ago

Durable Execution: What Temporal and Conductor Are Solving That Queues Can’t

Message queues have served us well for two decades. But as distributed systems grow more complex — and as AI agents start running for hours or even days — developers are discoverin...

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dzone.com /4 weeks ago

Bucket4j + Infinispan: A Deep Dive Into Implementation

In distributed systems, the biggest challenge for rate limiting is state. How do you ensure that two parallel requests hitting different cluster nodes don't "double-spend" the same...

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dzone.com /1 month ago

When Kubernetes Breaks Session Consistency: Using Cosmos DB and Redis Together

Distributed systems rarely struggle because of storage engines. They struggle because of coordination. We were operating a high-throughput microservice on Kubernetes backed by Azur...

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dzone.com /1 month ago

From APIs to Event-Driven Systems: Modern Java Backend Design

The outage happened during our biggest sales event of the year. Our order processing system ground to a halt. Customers could add items to their carts, but checkout failed repeated...

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javacodegeeks.com /1 month ago

Apache Seata: Distributed Transaction Management Tutorial

In modern microservices systems, ensuring data consistency across multiple independently deployed services requires a structured approach to distributed transaction management. Let...

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dzone.com /3 weeks ago

How We Diagnosed a Hidden Scheduler Failure in a Docker Swarm Cluster Serving 2 Million Users

Context: 120 Nodes, Strict SLAs, and Legacy Infrastructure Our team is responsible for the mobile backend infrastructure serving over 2 million registered users. The Docker Swarm c...

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dzone.com /1 month ago

When Events Move Faster Than Your Database: A Resilient Design Pattern

Event-driven systems are designed for speed, scalability, and decoupling. Messages flow rapidly between services, consumers react almost instantly, and systems can evolve independe...

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dev.to /1 month ago

рџ¦ѕ How AWS Secretly Breaks the Laws of Software Physics (And You Can Too)

📍 The Paradox Refresher In Article 1, we learned that every architecture is built on a necessary lie – a hidden trade‑off between competing goals like robustness vs. agility, sc...

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harmeet-singh-bagga.medium.com /1 week ago

Blockchain under the Hood: P2P Networks, Cryptography, Consensus, and Proof of Work — Part 2 of 4

One of the most fascinating aspects of blockchain is how it brings together ideas from multiple disciplines — computer science…Continue reading on Medium »

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javacodegeeks.com /2 weeks ago

The Dead Letter Queue Problem: Why Your Async Systems Silently Lose Data

Every async system eventually faces the same rude awakening: a message that can never be processed sits in your queue, blocking everything behind it, retrying endlessly, and hammer...

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javacodegeeks.com /1 month ago

Consistent Hashing: The Algorithm That Makes Distributed Caches and Databases Actually Scale

Theory, variants, and where it breaks — from the 1997 Karger et al. paper to virtual nodes in DynamoDB, Cassandra, and Redis Cluster. 1. Why Modular Hashing Fails at Scale Before c...

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dev.to /1 month ago

Python CQRS: Building distributed systems without the pain (Sagas, Outbox, Event-Driven)

Building distributed systems in Python? Here is how python-cqrs tackles consistency with orchestrated sagas, the mediator pattern, and a transactional outbox—without preaching theo...

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sdtimes.com /1 month ago

Designing Systems That Don’t Break When It Matters Most

Some outages are straightforward. A region fails. A bad deploy slips through. A dependency goes dark. The fault gets traced, fixed, and the system moves on. The failures that do th...

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sdtimes.com /1 month ago

Why Today’s Most Reliable Platforms Are Built to Expect Failure

You rarely think about the systems that keep your digital life running. When a message is sent instantly, a payment clears without friction, or a video loads on the other side of t...

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dzone.com /2 days ago

Master-Class: Understanding Database Replication (Single, Multi, and Leaderless)

Replication = same data, multiple nodes. You do it for three reasons: to survive node failures, serve reads from nearby replicas, or spread load. Simple enough. The algorithm you p...

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javacodegeeks.com /1 week ago

The Fundamental Tension Between Consistency and Availability Is Not a Technical Problem. It’s a Business Decision Most E...

CAP theorem gets taught as a distributed systems concept. What’s completely missing is the organisational dimension: engineers are making these tradeoffs silently, without product...

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medium.com /1 month ago

Why Modern ML Systems Are Failing in the Cloud (And What Needs to Change)

Modern ML systems are powerful but fragile.Continue reading on Medium »

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dev.to /1 week ago

Hytale Servers Will Fail Treasure Hunts Until We Fix Our Event Handling

The Problem We Were Actually Solving At the time, we were trying to optimize our server for high latency environments. We wanted to make sure that our Treasure Hunt engine was st...

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