Joined July 2008
188 Photos and videos
Pinned Tweet
13 Jan 2025
I'm mostly abandoning this platform. BlueSky is working pretty flawlessly for me. See you there 👋 bsky.app/profile/thelongor.b…

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21 Nov 2024
🔥🔥🔥🔥🔥🔥
21 Nov 2024
Taller de introducción a unit testing en rust impartido por @jdortiz. 📚
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16 Nov 2024
I'm only missing @ID_AA_Carmack in BlueSky, and that would be it. 🥲
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14 Nov 2024
Rise your hand if your team is doing Team (Mob) Programming! I want to talk to you :)
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14 Nov 2024
There we go! bsky.app/profile/thelongor.b… See you there 👋

13 Nov 2024
I'm excited to see that a lot of interesting people are moving to an X alternative: BlueSky. Let's see whether this is having more traction than Mastodon. See you there!!
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13 Nov 2024
I'm excited to see that a lot of interesting people are moving to an X alternative: BlueSky. Let's see whether this is having more traction than Mastodon. See you there!!
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8 Nov 2024
Se me ocurren muy pocas personas mejores que Jorge para mentorizar a futuros speakers. Sus charlas siempre fueron de 10 (además es majo cómo el sólo!)
Replying to @flipper83
Hace tiempo Xavi Gost me dijo, que hay que aprender a echarse a un lado y que los nuevos cuenten cosas. Y creo que tiene mucha razón. Ahora me toca estar aquí pa ayudar a quien me escriba, y disfrutar de todo de una forma distinta. (cont)
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Juan Gómez retweeted
The bullshit asimmetry: the amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it.
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Juan Gómez retweeted
2 Nov 2024
Esto si es España !!!
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1 Nov 2024
Once again, I'm deeply moved and incredibly proud of the people of my country and their unwavering solidarity. When things go real crazy, we leave no one behind. We DO NOT deserve the disgraceful politicians we have. #ProudToBeSpaniard
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Juan Gómez retweeted
25 Oct 2024
14 Sorting Algorithms in 1 Minute.
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23 Oct 2024
👍👍👍👍👍👍👍👍👍👍
Aging well as a Software Engineer 👇 Mindset and Approach •Product mindset with Tech expertise > Tech expertise with no product understanding •Solving the problem that helps business > Solving a non-existent problem •Saying NO > Saying yes and delaying •Overestimating > Underestimating and delaying •Overcommunication > No communication •Asking clarifying questions > Invalid assumptions •Disagree and commit > Disagree and taking it personally •Sharing knowledge openly > Hoarding knowledge for job security •Self-learning consistently > Learning when forced Design and Architecture •Boring old technology that works > Hot new technology that no one understands •Modular monolith application > Distributed Monolith •Decision Records > Documenting useless/redundant information •On-demand optimization > Premature optimization •On-demand abstraction > Premature abstraction Task Management and Productivity •Incremental code changes > Big bang changes •Efficiency > Hard work •Single tasking > Multitasking •1 high impact task 100% complete > 10 low impact tasks 90% complete Technical Practices •Debugging systematically > Trial-and-error debugging •Addressing technical debt incrementally > Letting tech debt pile up •Writing comprehensive unit tests > Skipping tests to save time •Automating repetitive tasks > Manually repeating steps •Prioritizing code readability > Writing clever but confusing code •Continuous integration with automated testing > Manual deployment without tests •Managing dependencies explicitly > Implicitly relying on hidden dependencies •Monitoring and alerting > Relying on users to report issues •Handling failures gracefully > Ignoring edge cases
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Juan Gómez retweeted
6 Oct 2024
Innovation in AI is patentable.
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1 Oct 2024
Wow!
This is the type of stuff that makes me love AI
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30 Sep 2024
Lo que Elon está logrando, es demostrarle al mundo entero que ser billonario es más una cuestión de suerte y timing, que de inteligencia y talento.
29 Sep 2024
Very few Americans realize that, if Trump is NOT elected, this will be the last election. Far from being a threat to democracy, he is the only way to save it! Let me explain: if even 1 in 20 illegals become citizens per year, something that the Democrats are expediting as fast as humanly possible, that would be about 2 million new legal voters in 4 years. The voting margin in the swing states is often less than 20 thousand votes. That means if the “Democratic” Party succeeds, there will be no more swing states!! Moreover, the Biden/Harris administration has been flying “asylum seekers”, who are fast-tracked to citizenship, directly into swing states like Pennsylvania, Ohio, Wisconsin and Arizona. It is a surefire way to win every election. America then becomes a one-party state and Democracy is over. The only “elections” will be the Democratic Party primaries. This already happened in California many years ago, following the 1986 amnesty. The only thing holding California back from extreme socialism and suffocating government policies is that people can leave California and still remain in America. Once the whole country is controlled by one party, there will be no escape. Everywhere in America will be like the nightmare that is downtown San Francisco.
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Juan Gómez retweeted
A Kafka in the cloud doing 30MB/s costs more than $110,000 a year. A $1,000 laptop can do 10x that. Where did we go wrong? 👇 The Cloud. Namely - its absurd networking charges 👎 Let’s break it down simply: • AWS charges you $0.01/GB for data crossing AZs (but in the same region). • They charge you on each GB in and out. Meaning each time a GB passes, you pay twice - for the one who sends it (outgoing) and the one who receives it (incoming) • For a normal Kafka cluster with replication factor of 3 and a read fanout of 3x, you are going to be charged: • 2x for 2/3rd of the produce throughput • 4x for 100% of the produce from replicating it • 6x of 2/3rd of the produce throughput for consumption. (but it can get a lot worse - read until the end to see) Simple example: • 3-broker cluster, each in a separate AZ • 3 producers, each in a separate AZ • 3 consumer groups with 3 consumers each, each group with consumers in a separate AZ The producers are producing 30MB/s in total to the same leader. 2/3 producers are in a different AZ, so 20MB/s of produce traffic is being charged at cross-zone rates. 👌 It’s charged both on the OUT (producer’s side) and IN (broker’s side). The leader is replicating the full 30MB/s to both of its replicas. This is again being charged both on the OUT (leader’s side) and IN (follower’s side), for both replication links. (60MB/s) Then, each of the 3 consumer groups has 3 consumers. All consumers read from the leader, with 2/3 in a different zone. This results in 20MB/s of consume traffic charged at cross-zone rates PER GROUP. (60MB/s total) Again charged both on the OUT (broker’s side) and IN (consumer’s side). The total amounts to 140MB/s worth of cross-AZ traffic. Charged both ways. When one MB is $0.00001/s, this means we’re paying $0.0028/s. 🤔 That’s: • $241 a day 😕 • $7500 a month 😥 • $88,300 a year 🤯 It all goes down the drain on network traffic ALONE. 🔥 What about the hardware? Quick napkin math assuming: • 7 day retention • all of the data is on EBS (not using tiered storage since it's not GA yet) • keeping 50% of the disk free for operational purpose (don't ask me what happens if we run out of disk) • the 3 brokers are running modest r4.xlarge instances (kinda overkill but hey, why not) We'd pay: • $19,440/yr for the EBS storage • $6,990/yr for the EC2 instances That’s right - you’re paying just $26.4k/yr for the hardware and 88.3k for the network (3.3x the hardware) For a total of $115k/yr. 💸 I’m not even counting load balancer costs, which could be $12k by some quick napkin math too. How ridiculous is that? 😂 Want it to get more ridiculous? This calculation assumes you’re hosting your own Kafka cluster in the same AWS account. 💡If you use a managed Kafka provider that’s not AWS, or otherwise just another AWS account, you’re typically connecting to them through a public endpoint. AWS then charges all traffic at the cross-AZ $0.01/GB rate internet traffic rate, even if it's in the same AZ. The end result? $113,000 a year for network costs. 💀 For 30MB/s. (!!!) btw - 30 MB/s is absolutely nothing for Kafka... 🤡 It is most often network/disk bounded. Doing 3GB/s is not hard. 👌 The higher throughput you go, the more absurdly large this discrepancy between network and hardware cost becomes. For example - this exact setup could probably do 3x the traffic (90MB/s), assuming storage space isn't a concern. Then you'd have: • $264,000 a year for the cross-AZ rate. 🥲 • $339,000 a year for the internet rate. 💀 Why is this cost (more than 300k a year) and complexity (this calculation) the case when three laptops can run this practically for free? Where did we go wrong? Worth Noting: There are a few optimizations that can be done here: • consumers can use fetch from follower, which results in free read traffic (no cross-AZ charges) in the first example. But the second example would still be charged internet costs. 🤝 • you can avoid internet costs by VPC-peering or Private Link-ing the two AWS accounts. This is largely what most cloud providers do, otherwise it becomes prohibitively expensive. It can be super complex to do. 🔧 • AWS can give you large discounts (up to 90% afaict) on the quoted prices, depending on your usage. It’s unclear what customer gets what discount. 💰 And perhaps the best example - you can use an ingeniously-designed product like WarpStream that eliminates all of this complexity and cost. ⭐️ It's no wonder they got acquired after just 13 months of operation.
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Juan Gómez retweeted
7 Sep 2024
Installing Doom 2 on your 486 like its 1994 😌
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Juan Gómez retweeted
The Rust programming language was awarded the Programming Languages Software Award by the ACM Special Interest Group on Programming Languages (@sigplan)! Learn more about the award and the Rust contributors mentioned: sigplan.org/Awards/Software/ Congrats, #rustlang 🎉
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19 Aug 2024
Genio y figura! Mucho que aportar todavía, señor @dei_biz. Espero volver a compartir otro rato contigo pronto :)
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