@abazudosen — 24x breakout

Loading video…

Build an App That Scales

@abazudosen

11.2K followers · usually 553 views a post

Views

13.1K

Likes

780

Comments

Why it worked

The video provides concise, actionable solutions to common and critical problems faced by developers building scalable applications. The clear, numbered list format and the use of on-screen text make the information easily digestible and shareable, appealing to a broad audience of developers seeking practical advice.

Summary

The video presents a list of 10 common problems encountered when building scalable applications and suggests solutions for each. It covers issues like high traffic, slow databases, API abuse, large file storage, background tasks, global latency, read-heavy workloads, service failures, slow search, and poor visibility, offering specific tools or strategies for each.

Structure

1Introduction to scaling app challenges
2Addressing high traffic and database performance
3Managing API abuse and file storage
4Optimizing background tasks and latency
5Handling service failures and read workloads
6Improving search and visibility

On-screen text

Build an App That Scales 1. Too many users: Use a Load 2. Database 2. Database Getting slow? Use cache 3. Too many request? Use a R 4. Need t 4. Need to store large files? Object Sto 5. Slow task blockin 5. Slow task blocking users? Use a message queue 6. Reach Users faster arou 7 7. One service fails Use a Circui 8. Database s 8. Database slow on reads Use Read replicas 9. Search is slow? Use Searc 10. Debug i 10. Debug in Prod hard? Use Observability

Original caption

🛠️ 10 Problems Every Scalable App Must Solve 1. High Traffic → Load Balancer (Nginx, AWS ALB) 2. Slow Database → Cache (Redis) 3. API Abuse → Rate Limiting (API Gateway) 4. Large File Storage → Object Storage (AWS S3) 5. Slow Background Tasks → Message Queue (Kafka, RabbitMQ) 6. Global Latency → CDN (CloudFront, Cloudflare) 7. Read-Heavy Workloads → Read Replicas 8. Service Failures → Circuit Breaker (Resilience4j) 9. Slow Search → Elasticsearch 10. Poor Visibility → Observability (Grafana, Datadog) 💡 Scalability isn’t about bigger servers—it’s about building systems that can scale, fail, and recover independently. . #softwaredeveloper #peoplewhocode #TechTips #coding #systemdesign