Scaling is a complex topic, but after working at big tech on services handling millions of requests and scaling my own startup (AlgoMaster.io) from scratch, I’ve realized that most systems evolve through a surprisingly similar set of stages as they grow.
Truly amazing piece! I feel like almost every concept of System Design was covered in this scaling journey. Really appreciate the way you have elaborated each and every system/service for different use cases.
This is such a nice way to begin my weekly reading schedule. Subscribed to your newsletter. I hope your articles are as informing and educative as this one. I'm currently at the level just after 100k users.
Thank you for taking the time to write this, truly amazing and easy to understand with just the right amount of information for the next step. This article showed me a lot of topics i need to get a deeper understanding in.
This breakdown is absolutley brilliant. The "dont over-engineer from the start" mindset really resonates with me because I've seen teams waste months building for hypothetical scale. Your point about exhausting simpler options before sharding is spot-on. We scaled to 200k users with just caching and read replicas before even considering it.
Truly amazing piece! I feel like almost every concept of System Design was covered in this scaling journey. Really appreciate the way you have elaborated each and every system/service for different use cases.
Thank you very much for sharing your valuable experience with the architecture upgrade
This is such a nice way to begin my weekly reading schedule. Subscribed to your newsletter. I hope your articles are as informing and educative as this one. I'm currently at the level just after 100k users.
Very helpful, felt like you wrote the whole concept of HLD in one article. Thanks a lot.
Perfect read for my coming interviews, kudos on this👏.A well written guide
Thank you for taking the time to write this, truly amazing and easy to understand with just the right amount of information for the next step. This article showed me a lot of topics i need to get a deeper understanding in.
It was extremely helpful. Please keep up the good work
This breakdown is absolutley brilliant. The "dont over-engineer from the start" mindset really resonates with me because I've seen teams waste months building for hypothetical scale. Your point about exhausting simpler options before sharding is spot-on. We scaled to 200k users with just caching and read replicas before even considering it.
Learnt so much and in such an easy way. Thanks for sharing this stuff with us.
Should one make a service stateless from the beginning to avoid major refactoring when scaling comes in.