Latest updates for Distributed Systems

Fresh curated links around Distributed Systems are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • What Distributed Systems Are and How They Work
  • The CALM Theorem: When Distributed Consistency Doesn’t Need Coordination
  • Article: Distributed Spring Batch Without a Message Broker

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Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

ninjaone.com /2 weeks ago

What Distributed Systems Are and How They Work

Distributed systems are used across cloud platforms and large-scale applications, among others. Instead of relying on one computer or service, distributed systems divide work acros...

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javacodegeeks.com /1 month ago

The CALM Theorem: When Distributed Consistency Doesn’t Need Coordination

The theory behind why some distributed computations are safely coordination-free, and how to spot which ones are. Every distributed systems engineer eventually runs into the same w...

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infoq.com /3 days ago

Article: Distributed Spring Batch Without a Message Broker

Distributed Spring Batch partitioning already needs a shared, persistent job repository. This article makes that database the whole coordination plane and drops the message broker,...

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dzone.com /1 week ago

How to Contain Partial Failures in Distributed Systems

Distributed systems rarely fail as a single unit. More often, one dependency slows down, one shard becomes unavailable, one region loses capacity, or one pool saturates while neigh...

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dev.to /1 month ago

How BitTorrent Turned Every Downloader Into a Server

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the pr...

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javacodegeeks.com /2 weeks ago

Beyond CAP: Why the 1999 Fox and Brewer Paper Stil

Have you ever looked at a system design document and winced at the rigid demand for strict consistency? We have all been there. Engineers love neat little rules. For years, the CAP...

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levelup.gitconnected.com /1 month ago

Modern Android Development Is a Distributed System in Disguise

Why building Android apps has become less about writing screens and more about understanding systems, state, timing, and everything around…Continue reading on Level Up Coding »

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javacodegeeks.com /1 month ago

Consistent Hashing: The 1997 Paper Quietly Running the Internet

Dynamo, Cassandra, and every major CDN route requests through an idea from a 1997 theory paper. Almost nobody using it has actually read why it works. Consistent hashing shows up i...

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bioengineer.org /1 month ago

Failure-resilient, carbon-efficient microservices deployment across cloud-edge systems

Deploying modern software applications across sprawling networks of cloud data centers and edge devices is a constant balancing act. Engineers must keep services running when hardw...

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javacodegeeks.com /1 month ago

Delta-State CRDTs: Solving the Bandwidth Problem Coordination-Free Replication Creates

CRDTs let replicas merge concurrent edits without coordination. The catch is what it costs to keep them talking to each other, and how delta-state CRDTs quietly fix it. Coordinatio...

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dzone.com /4 days ago

Where Should a Transaction End? Designing Consistency Boundaries in Distributed Java Systems

Microservices do not eliminate transactions. They force architects to decide where a transaction should end. That decision is harder than it sounds. A business operation that was o...

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dev.to /1 month ago

Why AI Applications Are Becoming Distributed Systems

AI applications used to be relatively simple. A user sent a prompt. An application sent that prompt to a model. The model returned an answer. The application displayed it. That a...

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javacodegeeks.com /1 month ago

Resilience by Design vs. Resilience by Library: BEAM vs. Go and Java

In distributed systems engineering, few architectural divides are as deep—or as philosophically opposed—as how different runtimes handle failure. When an unexpected error occurs, w...

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javacodegeeks.com /1 month ago

The Byzantine Generals Problem and Why Most Systems Don’t Need Byzantine Fault Tolerance

Crash faults and Byzantine faults are not the same problem, and reaching for blockchain-grade guarantees inside a trusted internal network usually solves a problem you don’t have....

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paulsiddharth.medium.com /1 month ago

Byzantine General’s Problem

Two generals sit on opposite hills, staring down at a walled city between them. Their combined armies can take it. Either army alone will…Continue reading on Medium »

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javacodegeeks.com /1 week ago

Protocol Buffers, Schema Evolution, and the Quiet Discipline IDLs Impose on Distributed Teams

Comparing how protobuf, Avro, and Cap’n Proto solve the same backward-compatibility problem Nobody deploys a distributed system all at once. The protobuf team says it plainly in th...

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dzone.com /1 month ago

How to Prevent Retry Storms With Retry Budgets in Distributed Systems

Retries are one of the simplest ways to make a distributed system appear more reliable. A transient connection failure, overloaded replica, or short-lived network interruption can...

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dzone.com /1 month ago

Distributing Massive AI Models With Network-Layer Multicast

When you are pushing terabytes of weights to hundreds of GPU nodes, unicast stops being a solution. Here is what actually works — and where multicast still struggles. The Problem E...

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rubyflow.com /1 month ago

Your Webhook Endpoint Is a Tiny Distributed System

A simple bit of webhook consumption is sometimes not that simple:

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dzone.com /1 month ago

Architecting for <1s Latency: Managing Eventual Consistency in Distributed Search Platforms

At a logistics visibility company, the shipment state can change thousands of times per second due to the massive scale of operations. Such changes take place when, for instance, a...

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tomtunguz.com /1 month ago

Thinking in Systems, Shipping in Loops

AI has removed the typing from software engineering & left the system design. DHH told Rails World that writing code by hand is no longer economically productive ; Artemis engi...

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kodekloud.com /1 month ago

Designing a Caching System and Where It Breaks

Learn to design a database caching system with cache-aside, TTL, invalidation, single-flight and jitter to prevent cache stampedes.

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kodekloud.com /2 weeks ago

The Tech Stack Behind Quick Commerce: How 10 Minute Delivery Apps Run

Ten minute delivery looks like magic from the app. Underneath, a chain of geospatial lookups, live inventory, event streams and rider dispatch has seconds to do its job, and this i...

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dzone.com /2 weeks ago

Beyond @Transactional: Solving the Dual-Write Problem in Distributed Microservices

The Illusion of a Single Database In a traditional monolithic application, maintaining data consistency is straightforward. If you need to create a new order and update warehouse i...

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Sources covering Distributed Systems

feeds.dzone.com

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bioengineer.org

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dev.to

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feed.infoq.com

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kodekloud.com

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medium.com

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