Scaling Memes

Posts tagged with Scaling

When Your "Big Data" Fits In A Spreadsheet
Databases Hardware Programming Cloud
2 days ago 70.0K views 0 shares
When Your "Big Data" Fits In A Spreadsheet
The joke here is that 60,000 rows is an absolutely tiny dataset in modern data engineering. Like, microscopic. A competent data engineer could process this on a 10-year-old laptop while running a YouTube video in the background. It's like bragging that your car overheated after driving to the end of your driveway. Any data pipeline that can't handle 60K rows without hardware failure is the computational equivalent of a paper airplane trying to carry passengers across the Atlantic. Real data engineers regularly process billions of rows without breaking a sweat. This is why everyone's laughing - it's the equivalent of someone claiming to be a weightlifting champion because they can lift a gallon of milk.

Cloud Bill Goes Brrrrr
Cloud Devops Kubernetes AWS Azure
3 days ago 55.7K views 0 shares
Cloud Bill Goes Brrrrr
Hitting that "deploy to cloud" button feels like a heroic moment until you realize you've just signed up your credit card for an all-you-can-eat buffet where the servers never sleep. Your ancestors watch proudly as you configure auto-scaling without setting budget alerts. That $5/month estimate turns into $500 when your app gets three users and suddenly needs 17 microservices, a managed database, and enough storage to archive the Library of Congress. Future generations will be paying off your Kubernetes cluster long after you're gone.

Basically Ruby On Rails
Ruby Webdev Hardware Programming Debugging
3 days ago 62.7K views 0 shares
Basically Ruby On Rails
The Ruby on Rails philosophy in one image: why bother optimizing your code when you can just throw more CPU cores at it? This meme perfectly captures the "Rails magic" approach – your app runs like a three-legged dog until you upgrade your server. Then suddenly it's "fast enough" and everyone pretends the code isn't a dumpster fire underneath. Classic web framework solution: when in doubt, blame the hardware! Meanwhile, the Go developers are in the corner writing code that would run on a calculator.

Multithreading Be Like
Hardware Algorithms Programming Debugging Backend
7 days ago 90.7K views 0 shares
Multithreading Be Like
The CPU is making you an offer you can't refuse, mafia-style. It demands 32x more computational resources to give you a measly 1.7x speed boost in return. This is the classic multithreading paradox - throwing massive parallelism at a problem only to get diminishing returns because some tasks just don't scale linearly. It's like hiring 32 people to dig a hole when only 2 can fit in the space. The rest just stand around drinking coffee and collecting paychecks. The purple lighting really sets the mood for this computational extortion. Your CPU is basically saying "Nice application you got there... would be a shame if something happened to its performance."

The Fourth Rule: No AWS
AWS Devops Programming Cloud
18 days ago 97.1K views 0 shares
The Fourth Rule: No AWS
The fastest way to burn through $100M? Just whisper "AWS" and watch your bank account evaporate. That SRE knew exactly what they were doing - nothing drains a budget faster than spinning up a few "right-sized" EC2 instances and forgetting about them for a weekend. The genie immediately adding a fourth rule is basically Amazon's business model in a nutshell. Honestly, at least gambling gives you a chance of winning something back.

Must Be A DDoS Attack
Devops Networking Programming Debugging Backend
24 days ago 91.0K views 0 shares
Must Be A DDoS Attack
Ah, the classic tech executive playbook: First, fire a third of your engineering team. Then, host a high-profile interview that everyone will want to watch. Finally, act surprised when your remaining skeleton crew can't handle the traffic spike. It's like removing three wheels from your car and then wondering why it can't complete a cross-country road trip. The distributed denial of service isn't from hackers—it's from your own distributed denial of common sense.

Is The Cure To Slow Bad Code Using Faster Hardware?
Hardware Algorithms Programming Debugging
1 month ago 93.3K views 0 shares
Is The Cure To Slow Bad Code Using Faster Hardware?
OMG, the AUDACITY of some developers! 💀 Instead of fixing their horrifically inefficient spaghetti code, they just throw more RAM and faster CPUs at the problem like that's going to save their algorithmic sins! Honey, your O(n²) monstrosity isn't going to magically become O(log n) just because you bought a shiny new processor. It's like putting a Ferrari engine in a shopping cart and expecting it to win Formula 1. The hardware might be faster, but your code is still a dumpster fire wrapped in a tragedy!