Distributed Systems

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The Fallacies of Distributed Computing: Assumptions That Break Systems at Scale

 ☁️AWS  Content type: Blog
medium.com
·

Two zookeepers mauled in horror attack by vicious wolves as workers tried remove dead animal from enclosure

 🖥️ClickHouse  Content type: News
thesun.co.uk·

Moving Beyond “Rubber Ducking”: Context-Aware AI Debugging at Scale

 🔭Observability  Content type: Blog
medium.com
·

Your Agent Isn’t Hallucinating. Your Orchestration Layer Is Broken.

 🧱Platform Engineering  Content type: Blog
medium.com
·

New comment by JustinFairbanks in "Ask HN: Who wants to be hired? (June 2026)"

 🏗️Cloud Infrastructure  Content type: Discussion

Understanding and Detecting Scalability Faults in Large-Scale Distributed Systems

 ☁️AWS  Content type: Academic
arxiv.org·

Getting Started with EKS — When Serverless Stops Being the Answer

 ☁️AWS  Content type: Blog
awsfundamentals.com·

IdiotCoffee/dhrishti: Runtime observability for distributed systems using eBPF and graph inference.

 🔴Redis  Content type: Code
github.com··DEV

Semaphores in Distributed Systems: Resource Protection, Not Traffic Management

 🌐Networking  Content type: Blog
medium.com
·

Omaha zoo announces return of endangered species after more than three decades

 📨Kafka  Content type: News
ketv.com·

What QA Teams Should Test Before Trusting Tool-Calling AI Agents in Production

 🔭Observability
stickyminds.com·

Zabbix – Monitoring full cluster Patroni/PostgreSQL

 🐘PostgreSQL  Content type: Blog
dbi-services.com·

Valkey: Unlocked Seattle: The Best Systems Let You Sleep At Night

 🔴Redis  Content type: Blog
valkey.io·

Group Replication VS Percona XtraDB Cluster: The True Cost of Consistency

 🏗️Cloud Infrastructure  Content type: Blog
percona.com·

Sybil Attacks: When One Adversary Wears a Thousand Faces

 📈Product Growth  Content type: Blog
havenmessenger.com··DEV

The Server That Does Nothing Is Often the Most Critical

 🔭Observability
siliconopera.com·

The Hardware Changed. The Software Didn’t.

 🔭Observability  Content type: News  Content type: Blog

Podcast: Increasing Users' Data Agency: From BlueSky's AT Protocol to the Local-First Software Movement

 🏗️Cloud Infrastructure  Content type: News
infoq.com·

The Split-Brain Problem in Plain English — And the Three Ways Your Distributed Cache Handles It Wrong

 🔴Redis
javacodegeeks.com·

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