How to NOT Ruin your App after launch

@swerikcodes

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Selling · SaaS › Other SaaS

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Why it worked

The video provides actionable, technical advice relevant to a niche audience of app developers and founders. It addresses a common pain point (scaling issues) with concrete solutions and specific tool recommendations, making it valuable and shareable within the tech community.

Summary

The video explains five key strategies for scaling an application to avoid failure as user numbers grow. It covers caching with Redis, using async jobs for heavy tasks, optimizing database queries, implementing load testing with tools like K6, and employing horizontal scaling with AWS ECS or Kubernetes.

Structure

1Introduction to scaling problems
2Caching with Redis
3Async jobs
4Fast database queries
5Load testing
6Horizontal scaling

Product placement

Redis: A caching tool used to store and retrieve data quickly. It acts by storing expected or expensive results to avoid recalculating them. Removing it would change how the app handles data requests. K6: A load testing tool used to stress test applications. Removing it would mean the app is not tested for performance under load. AWS ECS: A service for running containerized applications. It acts as a platform for running backend instances. Removing it would change how the app is deployed and scaled. Kubernetes: A container orchestration system used for automating deployment, scaling, and management of containerized applications. It acts as a platform for running backend instances. Removing it would change how the app is deployed and scaled.

Original caption

How to build an app that ACTUALLY works when users start using it. #app #vibecoding #coding #learntocode #softwareengineer

More from @swerikcodes

Their other posts in the index, biggest breakout first.

Call to action

Keep at it and follow for more :)

On-screen text

How to NOT Ruin your App after launch 1. Caching Redis Use Redis to cache expected or expensive results instead of recalculating them every single time a different user wants them. 2. Async Jobs Heavy tasks like: sending emails, or scanning documents should not lock up your user. Instead, put these in a queue behind the scenes so your user can continue to use your app while everything works. 3. Fast Database Queries Add proper indexes and targeted queries so your app does not slow down as your table grows. 4. Load Testing Load testing is very frequently overlooked. Use K6 or any alternative tool to stress test your app before getting it in hands of users. 5. Horizontal Scaling Run multiple backend instances on AWS ECS or Kubernetes and put all of this behind a load balancer so traffic gets split instead of overloading one machine. Shipping the app is one thing, scaling it is a whole other thing. Keep at it and follow for more :)

Transcript

100 users, everything's fine. 1000 users, things start to slow down. 10000 users, and everything goes to shit. And that's why you're set up to fail. This is the scaling problem. Vibe coded solutions are designed to just work, not work at scale. So if you're building an app, here are 5 things you can do based off of what I've done as a Tech Founder. 1. Caching. Use Redis to cache expected or expensive results instead of recalculating them every single time a different user wants them. 2. Async Jobs. Heavy tasks like: sending emails, or scanning documents should not lock up your user. Instead, put these in a queue behind the scenes so your user can continue to use your app while everything works. 3. Fast Database Queries. Add proper indexes and targeted queries so your app does not slow down as your table grows. 4. Load Testing. Load testing is very frequently overlooked. Use K6 or any alternative tool to stress test your app before getting it in hands of users. 5. Horizontal Scaling. Run multiple backend instances on AWS ECS or Kubernetes and put all of this behind a load balancer so traffic gets split instead of overloading one machine. Shipping the app is one thing, scaling it is a whole other thing. Keep at it and follow for more :)