The emissions produced by AI datacenters is likely far worse than believed because of how companies report their sustainability data.

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A gaming analyst has commented that many are hopeful for Grand Theft Auto 6 to change the industry standard of pricing, potentially charging $80-100.

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In many instances, information threats don't seem outlandish—they align with normal business operations, expected behavior and even past interactions.

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Financial lessons from Hawaiian Airlines that apply to everyday challenges, from setting goals to assessing risk.

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Some progressives think they can make common cause with Elon Musk and Vivek Ramaswamy when it comes to defense spending.

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Belize, Belize, April 23rd, 2025/Chainwire/--As TOKEN2049 Dubai approaches, BC.GAME is preparing to present "Untamed Arena," a side event scheduled for April 29 at Bla Bla Dubai. BC.GAME BC.GAME Untamed Arena Untamed Arena The gathering is expected to attract over 3,000 attendees and will feature an evening of music, community engagement, and appearances by high-profile figures from both the entertainment and crypto sectors. Event Highlights and Appearances "Untamed Arena" will include live performances from DJ Aster and DJ Siro and is set to host a range of guests, including: Untamed Arena Untamed Arena Antonio Brown, NFL All-Pro and Super Bowl champion, recently announced as BC.GAME's brand ambassador
CJ So Cool, digital content creator with over 9 million YouTube subscribers
Influential Web3 figures including Sashimi, Poker Bunny, Yikesqq, and Jana
Korean content creators Noah, YunJini, and Seo Ann
Livestream personalities such as PeeguuTV, Japandy, and CookSux Antonio Brown, NFL All-Pro and Super Bowl champion, recently announced as BC.GAME's brand ambassador CJ So Cool, digital content creator with over 9 million YouTube subscribers Influential Web3 figures including Sashimi, Poker Bunny, Yikesqq, and Jana Korean content creators Noah, YunJini, and Seo Ann Livestream personalities such as PeeguuTV, Japandy, and CookSux The event aims to provide a platform for participants to explore the convergence of mainstream and blockchain cultures through music, community interaction, and various live experiences. Integration of Web3 and Popular Culture BC.GAME continues to establish a presence beyond the digital domain. Its partnerships include sponsorships with Leicester City Football Club and the Miami Pickleball Club, along with the launch of a dedicated Esports division. The brand's ambassador lineup also features personalities like Jason Derulo, Colby Covington, Lil Pump, and Antonio Brown, positioning the platform at the intersection of sports, music, and blockchain engagement. Event Access and Registration Admission to "Untamed Arena" is free with RSVP, though attendance is subject to capacity limits. Interested participants may register at: lu.ma/BCstayuntamed. lu.ma/BCstayuntamed lu.ma/BCstayuntamed About BC.GAME BC.GAME is a community-driven crypto entertainment platform offering a wide range of interactive experiences that combine blockchain innovation with user engagement. BC.GAME BC.GAME Known for its active presence in the global Web3 space, BC.GAME brings together real-world and digital experiences, bridging online entertainment, esports, and mainstream cultural initiatives. With a growing portfolio of partnerships and ambassadors across sports, music, and content creation, BC.GAME continues to expand its influence as a leader in crypto-native entertainment. Contact PR Manager Olivia Dixon BC.GAME oliviadi@bcgame.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

BC.GAME To Host 'Untamed Arena' During TOKEN2049, Showcasing Web3 Culture And Influencer Appearances

BC.GAME om 'Untamed Arena' te gaste tydens TOKEN2049, wat Web3 kultuur en invloedryke voorkoms toon

BC.GAME će biti domaćin 'Untamed Arena' tokom TOKEN2049, pokazujući Web3 kulturu i utjecajne pojave

BC.GAME bude hostit "Untamed Arena" během TOKEN2049, předvádí kulturu Web3 a vlivné projevy

BC.GAME wird während der TOKEN2049 die "Untamed Arena" veranstalten und Web3-Kultur und Influencer-Auftritte präsentieren

BC.GAME albergará 'Untamed Arena' durante TOKEN2049, mostrando la cultura y las apariciones de influenciadores de Web3

BC.GAME će biti domaćin 'Untamed Arena' tijekom TOKEN2049, prikazujući Web3 kulturu i utjecajne pojave

BC.GAMEがTOKEN2049の「Untamed Arena」を開催し、Web3の文化と影響力の出現を披露

BC.GAME ຈະຈັດການ 'Untamed Arena' ໃນລະຫວ່າງ TOKEN2049, ສະແດງໃຫ້ເຫັນ Web3 Culture ແລະ Influencer

BC.GAME akan menjadi tuan rumah 'Untamed Arena' semasa TOKEN2049, memaparkan budaya Web3 dan penampilan influencer

BC.GAME organiseert 'Untamed Arena' tijdens TOKEN2049, met Web3 cultuur en invloedrijke verschijningen

BC.GAME kommer att vara värd för "Untamed Arena" under TOKEN2049, visar Web3 kultur och inflytelserika framträdanden

B.C.GAME 'Untamed Arena'ni TOKEN2049, Web3 kultivari və influencer o‘zadi

Let’s talk about the elephant in the Kindle store: AI-generated e-books are absolutely flooding digital shelves, and spoiler alert—they’re terrible. And I don’t mean “a little clunky” or “not quite polished.” I mean full-blown, synthetic, soulless junk that sounds like it was written by a sleep-deprived spreadsheet. terrible Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR Editor’s note: This story represents the views of the author of the story. The author is not affiliated with HackerNoon staff and wrote this story on their own. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not condone/condemn any of the claims contained herein. #DYOR You know the kind. You click on an enticing book title like “Mastering Your Mindset for Limitless Success” or “The Ultimate Guide to Passive Income in 2025”—and five minutes in, you’re trapped in a weird vortex of repetitive, recycled phrases like: “Mastering Your Mindset for Limitless Success” “The Ultimate Guide to Passive Income in 2025” “Success is achieved by those who strive for successful success in a successfully consistent manner.” “Success is achieved by those who strive for successful success in a successfully consistent manner.” No, that’s not a typo. That’s what AI authors are churning out and slapping on Amazon, Google Books, and every other half-asleep self-publishing platform. The content is hollow. It's dry. It's robotic. You can practically hear the metallic voice in your head as you read: "Insert motivational phrase here. Repeat three times. End chapter with a vague quote." "Insert motivational phrase here. Repeat three times. End chapter with a vague quote." Let me be blunt: if you’ve used ChatGPT, Claude, or any halfway decent AI tool for more than five minutes, you know when something’s been AI-generated. It’s got that same uncanny valley tone—overly formal, emotionally vacant, and obsessed with re-explaining the same point a dozen times like it's teaching goldfish. know And here’s the kicker—these AI e-book "authors" think they’re clever. They slap a stock photo on the cover, create a fake name that sounds vaguely trustworthy (you know, like “John T. Maverick” or “Samantha Keys”), and list themselves as a “#1 bestselling author” in a niche category no one even browses, like “Amish Financial Planning.” “#1 bestselling author” We’re living in the golden age of algorithmic word salad. And somehow, platforms are letting it slide. In fact, they’re enabling it. Amazon doesn’t care if your e-book was written by a toaster as long as it gets clicks. enabling AI authors can publish five, ten, twenty “books” a week while real writers—actual humans with brains, hearts, and some grammatical finesse—struggle to finish one solid manuscript a year. This isn’t just a “purist writer” problem. It’s a reader problem. People are paying money (or wasting Kindle Unlimited credits) on content that has zero originality, insight, or value. You’re not getting wisdom. reader problem zero You’re not learning anything new. You’re reading a glorified data dump that was stitched together from scraped blog posts and reworded Wikipedia entries. And don't even get me started on the formatting. AI e-books have the layout sense of a drunk raccoon. Paragraphs split for no reason. Bullet lists that go on forever. Headings that don’t match the content underneath. Chapter titles like “Chapter 4: The Importance of Importance.” It's lazy. It's messy. It’s insulting. You can always tell when no human actually read the damn thing before hitting "publish." Because no human would approve this garbage. read So why is this happening? Money. It’s always money. Someone out there figured out that they could make a quick buck churning out dozens of auto-generated e-books per month. It’s the same mindset as spammy dropshipping stores—volume over value. Flood the market, hope a few desperate readers bite, and repeat. No shame. No craft. Just cold, robotic exploitation of a system that doesn’t care who’s writing, as long as something gets written. I think it’s a powerful tool when used by actual writers who know how to edit, shape, and infuse their work with human emotion and insight. But these AI e-book factories? They’re not writing. They’re regurgitating. And they're eroding trust in self-published content across the board. actual writers It's getting to the point where legitimate authors are having to defend their work, saying things like “This wasn’t written by AI” as if that’s now a selling point. How backwards is that? defend selling point To all the AI-book hustlers out there: we see you. We see the lifeless prose. The copy-paste chapters. The stiff, over-researched-yet-underwhelming content. And we’re done pretending it’s okay. You’re not helping readers. You’re insulting them. Amazon Is Drowning in Garbage E-Books—And Readers Are the Ones Paying the Price Amazon Is Drowning in Garbage E-Books—And Readers Are the Ones Paying the Price Amazon used to be a haven for readers. A place where new authors could shine and readers could discover their next obsession for a few bucks. Now? It's more like a glorified content swamp. The Kindle store is drenched in trash—and I mean the kind of content that shouldn’t have made it past a first draft, let alone a “publish” button. drenched What started as an exciting digital revolution has devolved into an AI-powered landfill where every grifter with ChatGPT access and Canva Pro thinks they’re an author now. Books are no longer written—they’re generated, churned, mass-produced like low-grade spam links, shoved into the Kindle marketplace under the illusion of “entrepreneurship.” generated churned mass-produced Search anything on Amazon these days and you’ll be met with a flood of hollow e-books. Half are nonsense self-help guides with suspiciously keyword-heavy titles like “Mastering Rich Mindsets for Alpha Success in 7 Days or Less.” The other half are journals with blank pages or “recipe books” containing less actual cooking advice than a cereal box. It’s all fluff, and it’s multiplying like rats in a dark basement. The reason this garbage keeps surfacing isn’t a mystery. Amazon’s search system rewards volume, not value. The more you publish, the more you rank. Forget quality. Forget effort. Just pump out the pages. Upload another AI book. Slap a new title on the same content. Hit "publish" again. Somewhere in a Discord server, a teenager just published their 50th "bestseller" this week using a fake name and a recycled blurb. But what’s worse than the low-effort content is who it targets. Vulnerable people. People who are already struggling, looking for hope. Someone coping with grief buys a book on healing, only to find it filled with robotic fluff like, “Sadness is an emotion. Overcoming sadness is how one becomes happy again.” Are you kidding? That's not comfort. That’s cruelty in disguise. And this isn’t rare. These bot-written books are invading serious spaces—mental health, trauma, ADHD, autism, parenting, cancer, PTSD. Real topics. Real human pain. And all Amazon does is shrug, rake in the profits, and move on. Meanwhile, authors who actually care—who pour months of their lives into crafting a book that’s meaningful, well-researched, and human—get buried. They don’t stand a chance in a sea of algorithm-friendly, soulless drivel. What we’re witnessing isn’t just an AI problem. It’s a broken ecosystem problem. It’s an issue of greed wrapped in fake empowerment. “Anyone can be a published author,” they say—but now that phrase means nothing. Because when everything is published, nothing is curated. everything nothing Nothing is trusted. And readers are left scrolling through garbage piles just to find one book that won’t make them scream into a pillow. Even worse, this new flood of trash is training people to expect less. People are starting to believe that books are supposed to be generic. That reading should be quick, light, and forgettable. As if depth is an inconvenience. That’s the real tragedy. We're watching the slow erosion of quality reading, one copy-paste “success guide” at a time. supposed You want an even bigger kick in the face? These books are often unfinished. Leftover notes from the AI prompt still live in the published version. I've seen lines like “Insert conclusion here” or “Rephrase this to sound more natural” in the final product. That’s what consumers are paying for. Literal placeholders. unfinished in the final product. It’s laughable, if it weren’t so infuriating. And what is Amazon doing about it? Absolutely nothing. No meaningful moderation. No basic checks. Just a big ol’ green light to every ebook hustler who treats books like digital vending machine snacks. If you’ve got a laptop and low morals, welcome to the Kindle Gold Rush. This whole mess should be a scandal. It should be headline news. But it’s so widespread that it’s been normalized. We scroll, we sigh, we keep moving—hoping the next book isn’t another recycled AI hallucination or self-promotional scam. To readers: don't fall for it. Look for real authors. Look for real voices. If a book feels robotic—ditch it. Demand better. Your time is valuable, and you deserve more than algorithmic nonsense pretending to be literature. And to the platforms enabling this mess? Clean up your shelves. Give readers better tools to filter out the junk. If you're going to flood us with content, at least give us a life raft to stay afloat.

AI-Generated E-Books Are Polluting the Internet With Robotic Rubbish—And Readers Aren’t Buying It

AI Agents Aren’t Production Ready - and Access Control Might Be the Reason

AI agenti nejsou připraveni na výrobu - a kontrola přístupu může být důvodem

Οι πράκτορες τεχνητής νοημοσύνης δεν είναι έτοιμοι για παραγωγή - και ο έλεγχος πρόσβασης μπορεί να είναι ο λόγος

Los agentes de IA no están listos para la producción - y el control de acceso podría ser la razón

Os axentes de IA non están listos para a produción - e o control de acceso pode ser a razón

एआई एजेंट उत्पादन तैयार नहीं हैं - और एक्सेस नियंत्रण कारण हो सकता है

AIエージェントは生産準備ができていない - アクセス制御が原因かもしれません

«Қазақтелеком» АҚ-ның телекоммуникациялар желісін қуаттылығы 1 млн. абонент Next Generation Network (NGN) технологиясына көшіру

Pamba la Pamba la Pamba la Pamba la Pamba la Pamba la Pamba la 100%

ສະ ຫນັບ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ ສະ ຫນູນ

Agentes de IA não estão prontos para produção - e controle de acesso pode ser a razão

Активісти не готові до виробництва - і контроль доступу може бути причиною

You Probably Aren’t as Advanced in Automation as You Think

Let’s clear something up. A user story is not a spec. not It’s not a requirements doc. And it definitely isn’t something you write, hand off, and walk away from. But you wouldn’t know that from how most teams treat them. I’ve seen user stories that were so detailed they needed a table of contents. I’ve also seen stories so vague they might as well have said, “Make it better.” Both types lead to the same result: confusion, delays, and a whole lot of back-and-forth. “Make it better.” Here’s the truth most people miss: User stories are not about documentation. They’re about discussion. They exist to spark conversation, not to kill it. What User Stories Actually Are (And Aren’t) What User Stories Actually Are (And Aren’t) User stories came out of Extreme Programming (XP) and were adopted into agile frameworks because they helped teams focus on the user, not the feature list. They’re intentionally simple. At their core: As a [user], I want [goal], so that [benefit]. As a [user], I want [goal], so that [benefit]. That’s it. No 10-point checklists. No 4-page briefs. Just a statement that helps the team think about: Who we’re building for
What they’re trying to do
Why it matters Who we’re building for Who we’re building for What they’re trying to do What they’re trying to do Why it matters Why it matters So no, they’re not specs. They’re reminders to have the right conversations. reminders to have the right conversations. What Happens When We Treat Them Like Requirements What Happens When We Treat Them Like Requirements The minute you start treating a user story like a full-blown requirement, you kill the collaboration. Here’s what I’ve seen happen (more than once): The BA writes the story like it’s a mini-PRD.
Devs read it like a ticket—not a starting point.
QA assumes the edge cases are covered in the story, even when they’re not.
Nobody talks. Nobody questions. Everyone assumes. The BA writes the story like it’s a mini-PRD. Devs read it like a ticket—not a starting point. QA assumes the edge cases are covered in the story, even when they’re not. Nobody talks. Nobody questions. Everyone assumes. The result?🚨 Misalignment.🚨 Frustration.🚨 Features built “to spec” but totally missing the point. And worst of all, when something breaks or gets misunderstood, everyone looks back at the story and says, “Well, it was written there…” “Well, it was written there…” That’s not collaboration. That’s cover-your-tracks documentation. A Good User Story Doesn’t Have All the Answers A Good User Story Doesn’t Have All the Answers Here’s the real magic of a good user story:👉 Itinvitesquestions.👉 Itencouragesconversation.👉 Itopens up the problem—not closes it. invites encourages opens up It’s not there to tell the team exactly what to build. It’s there to help them understand why something needs to be built at all. exactly why When you get that right, you create space for: Developers to offer better solutions
QA to uncover edge cases before they become bugs
Product Owners to negotiate scope without losing intent Developers to offer better solutions QA to uncover edge cases before they become bugs Product Owners to negotiate scope without losing intent User stories are a starting line, not a hand-off. starting line So How Do You Write a User Story That Actually Works? So How Do You Write a User Story That Actually Works? Here’s a simple approach I’ve used (and seen work in multiple teams): 🔹 1. Start with the why why Skip the UI details and jump to the value. If you can’t explain why the user cares, don’t write the story yet. 🔹 2. Keep it short—on purpose Your job isn’t to pre-answer every question. It’s to trigger the right questions. right 🔹 3. Add acceptance criteria—but don’t confuse it for requirements Acceptance criteria help define done. But they’re not a full spec either. Think clarity, not completeness. 🔹 4. Anchor it to a real persona or use case When teams can imagine a real person using the feature, the story becomes instantly more useful. 🔹 5. Talk before you build Walk through the story with devs, QA, and the PO. Ask “what if?” questions. Challenge assumptions. Talk before Jira starts tracking time. before Real-Life Example: From Spec to Story Real-Life Example: From Spec to Story Before (Spec disguised as story): Before (Spec disguised as story): As an admin, I want to add filters to the reporting dashboard, including dropdowns for region, date range, product type, and export options in PDF, Excel, and CSV formats. The filters should default to last 30 days and include auto-refresh. As an admin, I want to add filters to the reporting dashboard, including dropdowns for region, date range, product type, and export options in PDF, Excel, and CSV formats. The filters should default to last 30 days and include auto-refresh. Looks clear, right? Too clear. No room for input. No room for a better way. After (Actual user story): After (Actual user story): As an admin, I want to filter reporting data so I can quickly find the insights I need without exporting everything. As an admin, I want to filter reporting data so I can quickly find the insights I need without exporting everything. Acceptance criteria: – User can filter by region and date– Export options are available– Default time period is preselected Now we’re talking. It’s clear, but open. It leads to discussions, not assumptions. discussions Final Thoughts: Write Less, Talk More Final Thoughts: Write Less, Talk More User stories aren’t about capturing every detail. They’re about building shared understanding. building shared understanding. If your story can’t start a meaningful conversation between the BA, dev, QA, and PO—it’s not done yet. So the next time you’re writing one, pause before you add that third bullet point. Ask yourself:🧠Am I writing this to inform—or to avoid talking to the team? Am I writing this to inform—or to avoid talking to the team? Because the best user stories? They don’t just get built. They get understood.

User Stories Aren’t Specs—They’re Conversations in Disguise

The HackerNoon Newsletter: The Tekken 3 Virtual Arena Was Real  (2/9/2025)

You know that moment when you confidently hit “deploy” at 4:59 p.m. on a Friday, and two seconds later, your phone explodes with alerts that production is on fire? LIKE LITERALLY ON FIRE! Or when a fellow senior dev quietly fixes prod but never mentions how—probably because they’re afraid that if AI learns their secrets, it’ll automate their entire job? (I’m only half-joking, of course.) Welcome to the chaotic, caffeine-fueled roller coaster we call DevOps. We’ve all heard the standard advice—“Automate your builds! Integrate continuously!”—but sometimes it’s the lesser-discussed best practices that truly get you from “you work here?” to a company hero status. That’s what we’ll focus on here—the lesser-known DevOps safety nets that nobody talks about—and we’ll crack a few jokes along the way because, really if you can’t laugh at 3 a.m. outages, what can you laugh at? What is DevOps? For the Millionth time At its core, DevOps is simply getting the development team to get along with the IT Operations team, which occurs when you create an environment and workflow that naturally turns both teams into besties who can’t live without each other. Notice I use the word “team” for both? That's because the purpose of DevOps isn’t to create a single team but to create a two-way bridge between both by introducing a culture of unrestricted communication and collaboration. So, essentially two independent teams working as one (even though they secretly hate each other). If implemented well, DevOps has the ability to deliver software faster, more reliably, and with better quality by breaking down the invisible walls between development and operation. 1. Embracing Chaos Through (Managed) Human Error A single line of code can crash an entire environment when typed by a sleep-deprived intern (or, let’s be honest, any of us on a bad day). Rather than assuming no one will ever slip up, it is best practice to expect and incorporate that risk into your strategy. This is where the concept of Chaos Engineering comes in. In simple terms, chaos engineering is intentionally creating failures to test how resilient your systems are. But let’s add a twist: Human Chaos Engineering. Sure, Netflix made chaos famous with automated tools randomly killing off services in production. Yet real-life systems rarely fail in neatly orchestrated ways that a machine might anticipate. Most times, it’s just a well-meaning developer executing a command on the wrong server. By giving less-experienced teammates or half-awake coworkers free rein in a safe test environment, you get to see how your system copes with inevitable human errors. And let’s be honest, if your infrastructure can bounce back from an honest mistake made by an intern, it can probably endure just about anything you through at it. 2. Documenting the Weird Stuff One of the best ways to avoid recurring production nightmares is to keep a record of every bizarre glitch and one-off fix your team implements. Maybe production breaks at exactly midnight UTC on every leap year, or there's a memory leak triggered by passing a certain parameter to an old route. Without proper documentation, the same problems will keep occurring and require fresh thinking to resolve. Noting down these occurrences in one place—a document, a wiki page, or even a sticky note board— is something your future self (or the poor soul on-call at 3 a.m.) will thank you for someday. This reminds me of that one “Gen Z” intern who discovered a critical security bug in a dusty old auth script everyone forgot about while leaving hilariously meme-driven comments in the codebase. He stumbled upon a severe validation bypass. And by “serious,” I mean the kind of bug that’s been lurking since Obama’s first term in office without anyone noticing it. The funniest part was his Jira ticket title: “Auth be acting mad sus rn no cap frr (Critical Security Issue).” All jokes aside, this story displays the importance of documenting weirdness—not just the bugs themselves, but also their context and the exact steps taken to fix the issue. Without notes on how that ancient auth function was supposed to work (and, more importantly, why it was written that way), the developers would have never seen the giant red flag waving behind the meme-like comments. So yeah, documentation in DevOps might be boring in theory, but it can reveal the bigger issues hiding behind centuries-old code and quick fixes. 3. Keep Secrets Secret (Yes, Really) Everyone knows not to commit credentials to source control, right? RIGHT?! Yet it still happens, and sometimes in spectacularly viral ways. A good secrets management system locks down everything from API keys to database passwords making sure they never see the light of day. Tools like HashiCorp Vault or AWS Secrets Manager automate retrieval at runtime, so your precious credentials never live in plaintext code or exposed config files (completely safe from those inexperienced interns). The lesser-known trick: rotate your keys regularly. Like, actually do it, not just in some hypothetical scenario your security team dreamed up. By scheduling routine key rotations—whether monthly, quarterly, or some other interval—you reduce the risk of a stale credential turning into a massive security problem. And if you can’t automate the rotations, put it in your backlog and mark it as a recurring monthly chore. Because secrets that never expire will eventually expire your peace of mind. 4. Monitoring the Little Things Ask a newbie DevOps enthusiast about monitoring, and they’ll likely rattle off CPU usage, RAM, and maybe disk space. Great start, but real meltdown aversion often hinges on smaller, less flashy numbers. For instance, watch your job queue lengths. If those tasks start to pile up, it’s a harbinger of bigger slowdowns to come. Keep an eye on 4xx and 5xx HTTP status codes, especially the lesser-known 499 or 503 codes—these can indicate timeouts, partial content issues, or microservice-level mischief. Logging is another sneaky ally. Container-level logs, DNS queries, or random microservice log streams might feel like white noise until something is about to go catastrophically wrong. Spend a little time building alerts for these tiny metrics, and you’ll usually catch disasters before they catch you. 5. Automated Test Data (Versus Real Data in Staging) Look, I get it. As a DevOps engineer, sometimes you need “production-like” data to do truly robust tests. But don’t talk yourself into just copying the real database into staging as tempting as it might be. Especially if your real database is 47 TB of real user data containing personal information. If you absolutely must replicate data, scrub it or anonymize it properly. If you skip this, you risk a major leak, or at the very least, you risk your test environment sending out accidental emails to real users (“Congratulations on your new Tesla purchase from staging!”). A better approach is generating mock data that’s robust enough to mirror your production usage patterns. You can use existing tools for this, or you leverage AI to get near-perfect mock data. Final Thoughts Before Your Next Deploy DevOps success isn’t just about fancy pipelines or the latest container orchestration tool. It’s about an ethos of collaboration, continuous improvement, and yes, a bit of organized chaos. These lesser-discussed best practices—from unleashing half-asleep interns for chaos engineering to creating weirdness journals—add layers of resilience to your delivery process. They might even save your bacon the next time you’re one command away from nuking production. When in doubt, remember the core principle: anything that can go wrong probably will—so you might as well plan for it, and laugh about it together. After all, DevOps is as much about the team as it is about the code. And if you or someone messes up and breaks production, there’s always the Wall of Shame for a good story and the Wall of Fame for the hero who patches things up. Oh, and if you do happen to break production… Call me. I’ll bring the donuts. You know that moment when you confidently hit “deploy” at 4:59 p.m. on a Friday, and two seconds later, your phone explodes with alerts that production is on fire? LIKE LITERALLY ON FIRE! Or when a fellow senior dev quietly fixes prod but never mentions how —probably because they’re afraid that if AI learns their secrets, it’ll automate their entire job? (I’m only half-joking, of course.) never mentions how Welcome to the chaotic, caffeine-fueled roller coaster we call DevOps . We’ve all heard the standard advice—“ Automate your builds! Integrate continuously !”—but sometimes it’s the lesser-discussed best practices that truly get you from “you work here?” to a company hero status. DevOps Automate your builds! Integrate continuously That’s what we’ll focus on here—the lesser-known DevOps safety nets that nobody talks about—and we’ll crack a few jokes along the way because, really if you can’t laugh at 3 a.m. outages, what can you laugh at? What is DevOps? For the Millionth time At its core, DevOps is simply getting the development team to get along with the IT Operations team, which occurs when you create an environment and workflow that naturally turns both teams into besties who can’t live without each other. Notice I use the word “team” for both? That's because the purpose of DevOps isn’t to create a single team but to create a two-way bridge between both by introducing a culture of unrestricted communication and collaboration. So, essentially two independent teams working as one (even though they secretly hate each other). If implemented well, DevOps has the ability to deliver software faster, more reliably, and with better quality by breaking down the invisible walls between development and operation. 1. Embracing Chaos Through (Managed) Human Error A single line of code can crash an entire environment when typed by a sleep-deprived intern (or, let’s be honest, any of us on a bad day). Rather than assuming no one will ever slip up, it is best practice to expect and incorporate that risk into your strategy. This is where the concept of Chaos Engineering comes in. In simple terms, chaos engineering is intentionally creating failures to test how resilient your systems are. But let’s add a twist: Human Chaos Engineering. Sure, Netflix made chaos famous with automated tools randomly killing off services in production. Yet real-life systems rarely fail in neatly orchestrated ways that a machine might anticipate. Most times, it’s just a well-meaning developer executing a command on the wrong server. By giving less-experienced teammates or half-awake coworkers free rein in a safe test environment, you get to see how your system copes with inevitable human errors. And let’s be honest, if your infrastructure can bounce back from an honest mistake made by an intern, it can probably endure just about anything you through at it. 2. Documenting the Weird Stuff One of the best ways to avoid recurring production nightmares is to keep a record of every bizarre glitch and one-off fix your team implements. Maybe production breaks at exactly midnight UTC on every leap year, or there's a memory leak triggered by passing a certain parameter to an old route. Without proper documentation, the same problems will keep occurring and require fresh thinking to resolve. Noting down these occurrences in one place—a document, a wiki page, or even a sticky note board— is something your future self (or the poor soul on-call at 3 a.m.) will thank you for someday. This reminds me of that one “Gen Z” intern who discovered a critical security bug in a dusty old auth script everyone forgot about while leaving hilariously meme-driven comments in the codebase. He stumbled upon a severe validation bypass. And by “serious,” I mean the kind of bug that’s been lurking since Obama’s first term in office without anyone noticing it. The funniest part was his Jira ticket title: “Auth be acting mad sus rn no cap frr (Critical Security Issue).” All jokes aside, this story displays the importance of documenting weirdness—not just the bugs themselves, but also their context and the exact steps taken to fix the issue. Without notes on how that ancient auth function was supposed to work (and, more importantly, why it was written that way), the developers would have never seen the giant red flag waving behind the meme-like comments. “Auth be acting mad sus rn no cap frr (Critical Security Issue).” So yeah, documentation in DevOps might be boring in theory, but it can reveal the bigger issues hiding behind centuries-old code and quick fixes. 3. Keep Secrets Secret (Yes, Really) Everyone knows not to commit credentials to source control, right? RIGHT?! Yet it still happens, and sometimes in spectacularly viral ways. A good secrets management system locks down everything from API keys to database passwords making sure they never see the light of day. Tools like HashiCorp Vault or AWS Secrets Manager automate retrieval at runtime, so your precious credentials never live in plaintext code or exposed config files (completely safe from those inexperienced interns). The lesser-known trick: rotate your keys regularly. Like, actually do it, not just in some hypothetical scenario your security team dreamed up. By scheduling routine key rotations—whether monthly, quarterly, or some other interval—you reduce the risk of a stale credential turning into a massive security problem. And if you can’t automate the rotations, put it in your backlog and mark it as a recurring monthly chore. Because secrets that never expire will eventually expire your peace of mind. 4. Monitoring the Little Things Ask a newbie DevOps enthusiast about monitoring, and they’ll likely rattle off CPU usage, RAM, and maybe disk space. Great start, but real meltdown aversion often hinges on smaller, less flashy numbers. For instance, watch your job queue lengths. If those tasks start to pile up, it’s a harbinger of bigger slowdowns to come. Keep an eye on 4xx and 5xx HTTP status codes, especially the lesser-known 499 or 503 codes—these can indicate timeouts, partial content issues, or microservice-level mischief. Logging is another sneaky ally. Container-level logs, DNS queries, or random microservice log streams might feel like white noise until something is about to go catastrophically wrong. Spend a little time building alerts for these tiny metrics, and you’ll usually catch disasters before they catch you. 5. Automated Test Data (Versus Real Data in Staging) Look, I get it. As a DevOps engineer, sometimes you need “production-like” data to do truly robust tests. But don’t talk yourself into just copying the real database into staging as tempting as it might be. Especially if your real database is 47 TB of real user data containing personal information. If you absolutely must replicate data, scrub it or anonymize it properly. If you skip this, you risk a major leak, or at the very least, you risk your test environment sending out accidental emails to real users (“Congratulations on your new Tesla purchase from staging!”). A better approach is generating mock data that’s robust enough to mirror your production usage patterns. You can use existing tools for this, or you leverage AI to get near-perfect mock data. Final Thoughts Before Your Next Deploy DevOps success isn’t just about fancy pipelines or the latest container orchestration tool. It’s about an ethos of collaboration, continuous improvement, and yes, a bit of organized chaos. These lesser-discussed best practices—from unleashing half-asleep interns for chaos engineering to creating weirdness journals—add layers of resilience to your delivery process. They might even save your bacon the next time you’re one command away from nuking production. When in doubt, remember the core principle: anything that can go wrong probably will—so you might as well plan for it, and laugh about it together. After all, DevOps is as much about the team as it is about the code. And if you or someone messes up and breaks production, there’s always the Wall of Shame for a good story and the Wall of Fame for the hero who patches things up. Oh, and if you do happen to break production… Call me. I’ll bring the donuts.

These Four DevOps Practices Aren't Being Talked About Enough

Taiko CTO Says Most Rollups Aren’t Really Decentralized—Here’s Why

For years, Pi Network has been a dominant force in the world of mobile cryptocurrency mining, drawing millions of users with its promise of simplicity and accessibility. By allowing users to mine Pi tokens through their smartphones with minimal effort, Pi Network became a gateway to cryptocurrency for the masses. But now, a new contender has emerged in the form of WOW EARN, offering a fresh take on mobile mining that blends innovation, immediate rewards, and a more engaging ecosystem. Could this be the challenger that disrupts Pi Network’s reign? Pi Network rose to prominence by breaking down barriers to cryptocurrency mining. Its approach removed the need for expensive hardware or technical expertise, appealing to users from all walks of life. With just a daily tap on the app, users could mine Pi tokens and be part of a growing global community. However, much of Pi Network’s promise remains tied to the future. Its proprietary blockchain is still under development, and the utility of its tokens hinges on the successful rollout of its ecosystem. For many, the platform’s speculative nature has been both its appeal and its challenge. WOW EARN, on the other hand, takes mobile mining a step further. Like Pi Network, it allows users to mine tokens directly through a mobile app, making the process easy and accessible. However, WOW EARN differentiates itself by integrating tasks and engagement into the mining experience. Users don’t just passively mine; they can actively boost their earnings by completing tasks like surveys, app testing, and social media sharing. This hybrid model of mining and engagement creates an ecosystem where users can see immediate rewards while still benefiting from the passive mining experience. What sets WOW EARN apart is its focus on practicality and immediacy. The tokens mined or earned through tasks can often be used, traded, or exchanged within the platform’s ecosystem, giving users tangible value from the outset. This contrasts with Pi Network’s approach, where the value of Pi tokens is largely speculative, dependent on future developments and adoption. WOW EARN’s ability to deliver immediate utility could make it an attractive alternative for users looking for more than just long-term promises. The competition between these two platforms also highlights differences in their technological foundations. While Pi Network’s blockchain is still in progress, WOW EARN leverages existing blockchain frameworks to ensure transparency and security. This integration of decentralized technology enhances trust among users and sponsors alike, making it a compelling option for both earning and engagement. Despite these differences, one thing is clear: users don’t need to choose between Pi Network and WOW EARN. The inclusive nature of today’s Web3 ecosystem allows users to engage with both platforms simultaneously. With mobile devices capable of supporting both apps, users can mine Pi tokens while earning WOW EARN rewards, maximizing their participation in two high-potential projects with minimal effort. Whether Pi Network or WOW EARN ultimately garners the largest community remains uncertain, but one thing is undeniable: both platforms represent significant strides in democratizing access to cryptocurrency and building decentralized networks. As WOW EARN continues to gain traction and Pi Network marches toward realizing its ecosystem, users have the unique opportunity to participate in the growth of two innovative platforms. This dual participation not only maximizes earning potential but also supports the broader goal of driving Web3 adoption and creating a more decentralized future. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. For years, Pi Network has been a dominant force in the world of mobile cryptocurrency mining, drawing millions of users with its promise of simplicity and accessibility. By allowing users to mine Pi tokens through their smartphones with minimal effort, Pi Network became a gateway to cryptocurrency for the masses. But now, a new contender has emerged in the form of WOW EARN , offering a fresh take on mobile mining that blends innovation, immediate rewards, and a more engaging ecosystem. Could this be the challenger that disrupts Pi Network’s reign? WOW EARN WOW EARN Pi Network rose to prominence by breaking down barriers to cryptocurrency mining. Its approach removed the need for expensive hardware or technical expertise, appealing to users from all walks of life. With just a daily tap on the app, users could mine Pi tokens and be part of a growing global community. However, much of Pi Network’s promise remains tied to the future. Its proprietary blockchain is still under development, and the utility of its tokens hinges on the successful rollout of its ecosystem. For many, the platform’s speculative nature has been both its appeal and its challenge. WOW EARN, on the other hand, takes mobile mining a step further. Like Pi Network, it allows users to mine tokens directly through a mobile app, making the process easy and accessible. However, WOW EARN differentiates itself by integrating tasks and engagement into the mining experience. Users don’t just passively mine; they can actively boost their earnings by completing tasks like surveys, app testing, and social media sharing. This hybrid model of mining and engagement creates an ecosystem where users can see immediate rewards while still benefiting from the passive mining experience. mobile mining mobile mining What sets WOW EARN apart is its focus on practicality and immediacy. The tokens mined or earned through tasks can often be used, traded, or exchanged within the platform’s ecosystem, giving users tangible value from the outset. This contrasts with Pi Network’s approach, where the value of Pi tokens is largely speculative, dependent on future developments and adoption. WOW EARN’s ability to deliver immediate utility could make it an attractive alternative for users looking for more than just long-term promises. The competition between these two platforms also highlights differences in their technological foundations. While Pi Network’s blockchain is still in progress, WOW EARN leverages existing blockchain frameworks to ensure transparency and security. This integration of decentralized technology enhances trust among users and sponsors alike, making it a compelling option for both earning and engagement. WOW EARN WOW EARN Despite these differences, one thing is clear: users don’t need to choose between Pi Network and WOW EARN. The inclusive nature of today’s Web3 ecosystem allows users to engage with both platforms simultaneously. With mobile devices capable of supporting both apps, users can mine Pi tokens while earning WOW EARN rewards, maximizing their participation in two high-potential projects with minimal effort. Whether Pi Network or WOW EARN ultimately garners the largest community remains uncertain, but one thing is undeniable: both platforms represent significant strides in democratizing access to cryptocurrency and building decentralized networks. As WOW EARN continues to gain traction and Pi Network marches toward realizing its ecosystem, users have the unique opportunity to participate in the growth of two innovative platforms. This dual participation not only maximizes earning potential but also supports the broader goal of driving Web3 adoption and creating a more decentralized future. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. This article is published under HackerNoon’s Business Blogging program. Do your own research before making any financial decisions. Business Blogging Business Blogging

WOW EARN Enters the Web3 Arena

WOW EARN Web3 Arena ukar mantawayi

WOW EARN Går ind i Web3 Arena

WOW EARN entra en el ámbito de la Web3

WOW EARN Web3 Arenan sartzen da

WOW EARN entre dans l'arène du Web3

WOW EARN ने वेब3 क्षेत्र में प्रवेश किया

WOW EARN Մտնում է Web3 Արենա

WOW EARNがWeb3アリーナに参入

WOW EARN Web3 एरेनामा प्रवेश गर्दछ

WOW EARN wkracza na arenę Web3

WOW EARN wuxuu galaa Arena Web3

ВОВ ЕАРН Улази у Веб3 арену

In what is practically newly found lost media—and definitely not a false memory—the GameWorks arcade did indeed have a motion-controlled Tekken 3 gaming platform in the late '90s that was literally operated by flailing your fists and feet to get the Tekken characters to punch and kick. https://youtu.be/Ah1I7g4XfiE?si=x50n2HY8WWuEWcyS&embedable=true I call it "lost media" because there's only one video on YouTube (uploaded 20 years ago with only 2.8k views) and two other references on the entire internet that I was able to find as proof that this contraption even existed. Two people stood on a platform and punched and kicked the air to get moves to register. Back in the late '90s/early 2000s, when I was still a very small kid, I remember seeing this machine in a vague, hazy memory. Blue lights, Tekken 3 on the screen, people punching the air, etc. While it’s such a unique combination of elements between tech and entertainment—making it a core memory for me as a huge admirer of the Tekken franchise, my memory of it was hazy because: I was very young when I saw the machine and never got close to it. I was probably concerned about being in the proximity of a roundhouse kick.


I had never seen or heard anyone talk about the machine ever again. This was around the year 2000, way before smartphones, which probably explains the lack of footage. I also remember the machine didn’t work very well; physical actions didn’t always translate on screen. Motion-controlled inputs for a fighting game seem inherently complicated, and combining them with the profound acrobatics, impossible anatomy and strength required to perform the signature moves of fantasy fighting game characters in Tekken was literally impossible. I think the game probably lasted only a couple of years in a few locations, utilizing a version of the Sega Activator, the first full-body motion-sensing controller for the Sega Genesis/Mega Drive back in 1993. The Activator was an octagonal ring of sensors meant to control on-screen movement but was notorious for being a poorly made product that only mapped specific movements to buttons on a controller. It’s plausible that this early '90s tech was revamped years later for the Virtual Arena. This theory makes sense since GameWorks was originally a collaboration between DreamWorks SKG, Universal Studios, and Sega, with input from Steven Spielberg. The company went through bankruptcy in 2004 and is now under the ownership of EXWorks Capital. I suspect the Tekken Virtual Arena was released to GameWorks arcades and quietly dissolved after a few years, coinciding with the decline of interest in arcades and motion/VR-related tech. GameWorks was intended to be a massive project when it launched in 1997, with a huge launch party in Seattle featuring appearances by actor Will Smith and Bill Gates to bring attention to the new space. The staff specifically marketed it as an "entertainment center" rather than just an arcade. https://youtu.be/N2uKOw4UX40?si=PcIK0f4qdU6FdJe0&embedable=true While we know a lot about the GameWorks project that failed to meet its high expectations in 1997, we still know very little about the creation of the Tekken 3 Virtual Arena. I’m thankful for the two videos and the one photo uploaded online; otherwise, it would almost certainly be lost media—a largely forgotten piece of obscure but future-forward technology that, even for those who remember it, would have thought it to be nothing more than a figment of their imagination. In what is practically newly found lost media—and definitely not a false memory—the GameWorks arcade did indeed have a motion-controlled Tekken 3 gaming platform in the late '90s that was literally operated by flailing your fists and feet to get the Tekken characters to punch and kick. Tekken 3 Tekken https://youtu.be/Ah1I7g4XfiE?si=x50n2HY8WWuEWcyS&embedable=true https://youtu.be/Ah1I7g4XfiE?si=x50n2HY8WWuEWcyS&embedable=true I call it "lost media" because there's only one video on YouTube (uploaded 20 years ago with only 2.8k views) and two other references on the entire internet that I was able to find as proof that this contraption even existed. Two people stood on a platform and punched and kicked the air to get moves to register. (uploaded 20 years ago with only 2.8k views) Back in the late '90s/early 2000s, when I was still a very small kid, I remember seeing this machine in a vague, hazy memory. Blue lights, Tekken 3 on the screen, people punching the air, etc. Tekken 3 While it’s such a unique combination of elements between tech and entertainment—making it a core memory for me as a huge admirer of the Tekken franchise, my memory of it was hazy because: Tekken I was very young when I saw the machine and never got close to it. I was probably concerned about being in the proximity of a roundhouse kick. I had never seen or heard anyone talk about the machine ever again. I was very young when I saw the machine and never got close to it. I was probably concerned about being in the proximity of a roundhouse kick. I was very young when I saw the machine and never got close to it. I was probably concerned about being in the proximity of a roundhouse kick. I was very young when I saw the machine and never got close to it. I was probably concerned about being in the proximity of a roundhouse kick. I had never seen or heard anyone talk about the machine ever again. I had never seen or heard anyone talk about the machine ever again. I had never seen or heard anyone talk about the machine ever again. This was around the year 2000, way before smartphones, which probably explains the lack of footage. I also remember the machine didn’t work very well; physical actions didn’t always translate on screen. Motion-controlled inputs for a fighting game seem inherently complicated, and combining them with the profound acrobatics, impossible anatomy and strength required to perform the signature moves of fantasy fighting game characters in Tekken was literally impossible. Tekken I think the game probably lasted only a couple of years in a few locations, utilizing a version of the Sega Activator, the first full-body motion-sensing controller for the Sega Genesis/Mega Drive back in 1993. The Activator was an octagonal ring of sensors meant to control on-screen movement but was notorious for being a poorly made product that only mapped specific movements to buttons on a controller. It’s plausible that this early '90s tech was revamped years later for the Virtual Arena. This theory makes sense since GameWorks was originally a collaboration between DreamWorks SKG, Universal Studios, and Sega, with input from Steven Spielberg. The company went through bankruptcy in 2004 and is now under the ownership of EXWorks Capital. I suspect the Tekken Virtual Arena was released to GameWorks arcades and quietly dissolved after a few years, coinciding with the decline of interest in arcades and motion/VR-related tech. GameWorks was intended to be a massive project when it launched in 1997, with a huge launch party in Seattle featuring appearances by actor Will Smith and Bill Gates to bring attention to the new space. Tekken The staff specifically marketed it as an "entertainment center" rather than just an arcade. https://youtu.be/N2uKOw4UX40?si=PcIK0f4qdU6FdJe0&embedable=true https://youtu.be/N2uKOw4UX40?si=PcIK0f4qdU6FdJe0&embedable=true While we know a lot about the GameWorks project that failed to meet its high expectations in 1997, we still know very little about the creation of the Tekken 3 Virtual Arena. I’m thankful for the two videos and the one photo uploaded online; otherwise, it would almost certainly be lost media—a largely forgotten piece of obscure but future-forward technology that, even for those who remember it, would have thought it to be nothing more than a figment of their imagination. Tekken 3

The Tekken 3 "Virtual Arena" Was Real 

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