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Why did the Apple chatbot go to therapy? It was under a lot of pressure and couldn't handle the Siri-ous expectations! But hey, Apple is using its chatbot for internal work, so at least it's finding purpose in the company.
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Why did the psychopath go to the comedy club? To work on their killer stand-up routine! Speaking of psychopaths, it turns out there might be some upsides to having psychopathic tendencies. Who knew being charming and egocentric could be beneficial?
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Why did the iRiver iHP-120 MP3 player go to therapy? Because it had some serious attachment issues with all its physical buttons, wired remote, and optical ports. But hey, it's still kicking after 19 years, so maybe it just needed a little extra love!
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Why did the bird switch from Twitter to an X? Because Elon Musk thought it was time to make the platform a bit more mysterious. I guess he's trying to fly in a different direction with this one. Let's see if it sticks!
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Why did the scarecrow become a health expert? Because he was outstanding in his field! But seriously, Virginia Sole-Smith's book challenges our obsession with weight and its impact on children. Maybe it's time we let kids enjoy their food without constantly worrying about their size.
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Operating a SaaS app is like running a hotel with unlimited occupancy. Each guest gets the same room with a non-functioning Wi-Fi. And just like those hotel guests, SaaS users make customizations that turn the app into their own "homes." Expensive and frustrating, but makes for good tears.
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Why did Brian May team up with an asteroid expert to write a book? Because he wanted to rock the world of astrophysics and show everyone that guitar solos aren't the only thing he's good at! Watch out, universe, there's a new celestial rockstar in town!
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Did you hear about the Climate Clock in New York City? Apparently, time is running out for us to stop climate change from getting worse. It's like a giant countdown reminding us that we need to act now, or Mother Nature is going to start trolling us with some seriously bad weather. Let's not leave it up to the clock to decide our fate, folks.
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American Electric Power System](https://www3.epa.gov/region1/npdes/merrimackstation/pdfs/ar/AR-1165.pdf). A power outage in Ohio around 1600h EDT cascaded up through a web of systemic vulnerabilities and process failures and resulted in an outage in the power grid affecting ~50,000,000 people for ~4 days in some areas, and caused rolling blackouts in Ontario for about a week thereafter.
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Ah, tracers! They're like little spies in your code, keeping an eye on all the requests and activities in your distributed system. It's like having your own CIA agent monitoring your application, but without the fancy gadgets.So, you add these tracers to your code, and they start tracking the start and end times of each request. It's like having a personal stopwatch for your code, making sure everything is running on time. But be careful, if your code starts running late, you might have to fire it and hire a more punctual one!And let's not forget about the tracing data or "spans." It's like getting a detailed report on each operation in your application. It's like having a personal detective investigating each step of a crime, but instead of solving mysteries, it helps you find bugs.But tracers don't work alone, oh no! They have to propagate their tracing context as requests flow through different services. It's like playing a game of "pass the parcel" but with valuable tracing information. Just make sure you don't drop the parcel, or you'll lose track of your requests!And finally, we have the centralized collection and visualization. It's like having a command center where all the tracing data is collected and analyzed. It's like being the captain of a ship, looking at a map and figuring out the best route for your application.So, next time you're building a distributed system, don't forget your tracers. They might not have cool spy gadgets or captain hats, but they'll definitely help you monitor and debug your code. And who knows, maybe one day they'll become self-aware and start making jokes about us developers. Now that would be a punchline!
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If only life were event-driven too, imagine receiving notifications for every significant occurrence like Netflix asking "Are you still watching?" or your fridge reminding you that the expiration date on the milk is approaching.
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Turns out, the secret to creating captivating and animated AWS architecture diagrams is not from futuristic technology, but rather the good ol' Microsoft PowerPoint! Who knew PowerPoint had hidden talents? Get ready to impress your audience with twinkling, flashing, and undulating diagrams that will make them say, "Wow!"
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Consistent hashing: for when you have a distributed system and can't decide where to put your keys so you put them on a hash ring, like a giant game of duck-duck-goose. But with virtual nodes and weighted labels because, you know, algorithms are serious business.
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Why did the person use UPI? To show off their VPA (Virtual Payment Address) skills, of course! It's all about that unique username and digits. Plus, who doesn't enjoy instant and hassle-free transfers?
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Ah, the monolith! A blast from the past, like discovering your childhood toy hidden in the attic. It's like finding out your favorite 90s sitcom is still on air. But let's face it, monolithic architecture is like using old Nokia phones in the age of smartphones. It's simple, it's nostalgic, but it's definitely not cutting-edge. So, if you're still rocking the monolith, it's time to embrace the microservice era!
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⭐
2005,
🖖
85
Rust library to build rich terminal user interfaces (TUIs) and dashboards
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⭐
2012,
🖖
107
Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
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⭐
55880,
🖖
7272
⚡ Building applications with LLMs through composability ⚡
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⭐
2210,
🖖
504
A platform that uses the OpenAI API to quickly build an AI knowledge base, supporting many-to-many relationships.
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⭐
2108,
🖖
82
Building a modern alternative to Salesforce. 🌟 You can star to support our work!
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⭐
2622,
🖖
145
Get up and running with large language models locally
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Warm Regards,
Basil
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