Tengo publicado en YouTube un tutorial que explica como configurar un cluster #Kafka usando #Docker.
Maneja datos de forma distribuida de manera moderna y eficiente!
#Gratis #SiguemeYTeSigo #Followback
Nota: imagen generada con IA.
Tengo publicado en YouTube un tutorial que explica como configurar un cluster #Kafka usando #Docker.
Maneja datos de forma distribuida de manera moderna y eficiente!
#Gratis #SiguemeYTeSigo #Followback
Nota: imagen generada con IA.
CVE Alert: CVE-2026-5562 - provectus - kafka-ui - https://www.redpacketsecurity.com/cve-alert-cve-2026-5562-provectus-kafka-ui/
#OSINT #ThreatIntel #CyberSecurity #cve-2026-5562 #provectus #kafka-ui

A definitive guide to body horror fiction — its philosophical origins in Frankenstein and Kafka, its four distinct creative approaches (psychological, erotic, feminist, political), five essential texts from The Metamorphosis to Tender Is the Flesh, its social critique dimensions from gender to capitalism to race, and six craft principles for writers entering the tradition. When the body is the monster, nothing is safe.
I wrote a short story about an interaction I had at the grocery store while trying to buy a bottle of beer using my out of date driving license
📕 Check it out: https://ferret-stack.github.io/Proof-of-Age/
Binance is hiring Senior/Staff DevOps Engineer, Trading Technology
🔧 #golang #python #blockchain #web3 #ansible #aws #docker #elasticsearch #gcp #kafka #terraform #seniorengineer
🌎 Remote; Melbourne, Australia
⏰ Full-time
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Job details https://jobsfordevelopers.com/jobs/senior-staff-devops-engineer-trading-technology-at-binance-com-mar-16-2026-65bf42?utm_source=mastodon.world&utm_medium=social&utm_campaign=posting
#jobalert #jobsearch #hiring
Kafka: Queue & Pub-Sub Together 📨
Queue (1-to-1):
1 consumer group, consumers = partitions
Each message → 1 consumer only
Pub-Sub (1-to-many):
Multiple consumer groups
Each group → all messages
Traditional systems need separate tools.
Kafka does both natively!
Throughput vs Storage: Kafka vs Database 📊
Database:
• High Storage (billions of records)
• Low Throughput (writes/sec limited)
• Complex queries possible ✓
Kafka:
• Very High Throughput (millions/sec!)
• Low Storage (temporary)
• No queries (only sequential)
They don't compete. They complement each other.
Use database for storage, Kafka for streaming.
What is Kafka? 📦
Apache Kafka = Distributed Event Streaming Platform
Unlike traditional message queues:
✅ Messages persist on disk
✅ Replay events anytime
✅ Scale horizontally
✅ Fault tolerant
Use cases: Real-time analytics, log aggregation, metrics, microservices communication.
Think: LinkedIn's real-time activity streams (where Kafka was born!). 🚀
Esta es la lista con los capítulos del tutorial de "Introducción a #Kafka":
https://www.youtube.com/playlist?list=PLtdeXn2f7ZbMfoKvZ95r1mpmJzka2B6g9
Suscríbete a mi canal.
#Programacion #Tutorial #Gratis #SiguemeYTeSigo #Followback
Nota: imagen generada con IA.
Our client engagements often start with workshops on architecting the optimal setup for #Kafka clusters.
Michał Matłoka wrote down some of the basics of the process - still a long read, but who said disaster recovery is easy?
https://softwaremill.com/guide-to-apache-kafka-disaster-recovery-and-multi-region-architectures/