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Ethan

@EthanWH

Chaos is order yet undeciphered

Katılım Nisan 2012
941 Takip Edilen332 Takipçiler
Ethan
Ethan@EthanWH·
@micael_gallego Estoy leyendo unas cosas en el hilo en cuestión…alguno se cree que se va a montar Spotify en dos tardes “vibecodeando”
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Mica
Mica@micael_gallego·
Clientes... Lo demás es secundario
Felipe Polo@felipepoloruiz

@juan_miqueo Seguramente, pero piensas que los clientes que tienes tú los podría atraer un vibe coder en el mismo tiempo? Para mí la distribución es (y siempre ha sido) la clave.

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Ethan
Ethan@EthanWH·
@W17LY0 “Si eliminas las reviews negativas” XDDDD
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Miguel Ángel Martín
Miguel Ángel Martín@W17LY0·
Si solo te quedas con quien les dio 10, el juego se queda en un metascore de 100 y es el producto multimedia más grandioso de todos los tiempos.
Taison TV@TaisonTV

#CrimsonDesert Metascore de 78. Si eliminas las reviews negativas el MetaScore sube a 90. el Review bombing de algunos medios como IGN o Critical Hits por las siguientes causas: -"Protagonistas poco interesantes" Creo que si fuera una Mujer Afro y TRans tal vez seria mas interesante para ellos. -"historia no tiene valor" Que raro en Elden Ring tampoco importa la historia y opinaban diferente. -"El combate tiene muchos combos y muchos controles y se hace dificil" Claramente Skill Issue del periodista con poco tiempo para probarlo, en Elden Ring no tenian problemas xD. -"Misiones secundarias aburridas" En todos los RPGs hay muchas misiones secundarias aburridas o repetitivas, es lo que pasa en juegos con cientos de horas disponibles. Y luego todos coinciden en que es un gran juego a nivel detalle, libertad, mundo abierto y exploracion xDDD Esta misma gente dio un 9 a Dragon Age veilguard y mas puntuacion a Concord. Hoy salimos de dudas en Directo, recuerdo a todos que las reviews buenas, son las que ocurren en directo cuando lo jugamos y enseñamos todo los youtubers y streamers, y ahi podeis ver la realidad.

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Ethan
Ethan@EthanWH·
@W17LY0 Que no falte el barril en llamas
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Ethan retweetledi
Tech with Mak
Tech with Mak@techNmak·
I've been using 𝐀𝐩𝐚𝐜𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 for years now and I absolutely love it. Let me explain the message/event flow in simple terms. Give it a read. 👇 𝐃𝐨 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐰𝐡𝐚𝐭? 𝐀𝐩𝐚𝐜𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 𝐰𝐚𝐬 𝐛𝐨𝐫𝐧 𝐨𝐮𝐭 𝐨𝐟 𝐚 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. 😉 LinkedIn engineers => faced difficulties in tracking website metrics, activity streams and other operational data. A team of engineers => led by @jaykreps , @nehanarkhede and @junrao started developing a distributed publish-subscribe messaging system that could handle high-throughput, low-latency data streams. This system eventually became Apache Kafka. It was open sourced in early 2011. The name 'Kafka' was chosen by Jay Kreps. He named the system after the famous author 'Franz Kafka'. 😊 Kreps was an admirer of Franz Kafka's writing and found the name fitting for a system that dealt with the flow of information. It's written in Java and Scala. Later they founded => 'Confluent (@confluentinc)' (a company) in 2014 to provide commercial support and additional tools for Kafka users. 📌 𝐋𝐞𝐭'𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜 𝐟𝐥𝐨𝐰. [1.] Producer sends a message ◾ An application acts as a producer, creating a message with data (payload) and optional key. ◾ The producer connects to a broker in the Kafka cluster and identifies the target topic. ◾ Kafka uses a partitioner to determine which partition within the topic should receive the message. This ensures load balancing and parallel processing. ◾ The message is delivered to the leader replica of the chosen partition. [2.] Message storage and replication ◾ The leader replica appends the message to its log segment. ◾ The message receives a unique offset, serving as its position within the log. ◾ The leader replicates the message to follower replicas for fault tolerance. [3.] Consumer fetches messages ◾ An application acts as a consumer, joining a consumer group. ◾ Consumers within the same group share offsets and coordinate consumption. ◾ Each consumer fetches messages from its assigned partitions based on its committed offset. ◾ The consumer receives batches of messages and processes them. [4.] Acknowledging consumption ◾ Once processing is complete, the consumer commits its new offset. ◾ This tells Kafka which messages have been successfully consumed. ◾ Kafka tracks committed offsets for each consumer in the group. [*.] Flow continues ◾ Producers continue sending messages and consumers keep fetching and processing them based on their latest offsets. ◾ This cycle ensures ordered delivery and reliable consumption even with failures or restarts. Remember, 👉 Message flow is asynchronous. Producers don't wait for consumers to process messages. 👉 Consumers can lag behind producers if processing is slow. 👉 Kafka offers mechanisms for handling failures and ensuring at-least-once or exactly-once delivery semantics. Topics => Partitions =>Log Segments (Data is actually stored in log segments) Follow @techNmak
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Ethan
Ethan@EthanWH·
A ver si el próximo año la retransmisión no es una mierda, que hay estar ajustando el volumen manualmente 6 veces por canción #EurovisionRTVE
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Neo Kim
Neo Kim@systemdesignone·
If you want to become good at system design (not kidding), learn these case studies:
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Sahn Lam
Sahn Lam@sahnlam·
Useful Free APIs for Developers
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xtralife
xtralife@xtralife_es·
🎉Celebramos esa generación con un #SORTEO de #NintendoSwitch2🎉 Para participar: ➡️Sigue a @xtralife_es 🔁Haz RT a esta publicación 💬Comenta con #NS2xtralife en esta publicación 📅Hasta 14/04/2025
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8BitDo
8BitDo@8BitDo·
The 8BitDo N Edition Retro Mechanical Keyboard is now available in Nordisk, German, French, and Spanish layouts, and the C64 Edition includes UK layout. Learn more: - The 8BitDo Retro Mechanical Keyboard – N Edition:8bitdo.com/retro-mechanic… - The 8BitDo Retro Mechanical Keyboard – C64 Edition:8bitdo.com/retro-mechanic…
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Ethan
Ethan@EthanWH·
@W17LY0 ESPAÑA 🇪🇸 🐂 🥘
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Tech Fusionist
Tech Fusionist@techyoutbe·
How does DNS work? (Simplified)
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Ethan
Ethan@EthanWH·
@W17LY0 En tres días están en Walapop a 600€ el par jajaja
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Ethan
Ethan@EthanWH·
@VivianVvj No te olvides de que los platelmintos hacen esgrima de penes y el ganador le derrama el semen al otro en la piel el cual será absorbido y automáticamente fecundado
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