How Did Instagram Build Its Initial Tech Stack?

TL;DR

Instagram's early tech stack included Objective C for the client and Python with Django for the backend, utilizing Postgres and Redis. The focus was on achieving product-market fit and scaling efficiently, with an emphasis on understanding user retention and cohort trends rather than just user numbers.

Transcript

how much uh technical difficulty is there with the programming like what programming language you were talking about what was zero i'd like maybe it was hard for us but um i mean we there was nothing the only thing that was complex about instagram at the beginning technically was making it scale and we were just plain old objective c for the client... Read More

Key Insights

• 🎅 Instagram used Objective C and Python (with Django) for their early technical stack.
• ↩️ They made less common choices like Postgres and Redis, which turned out to be beneficial.
• 🗯️ Scaling challenges involved handling data influx and ensuring the right infrastructure.
• ⚖️ Instagram emphasizes the importance of finding product-market fit before worrying about scaling.
• 📈 Cohort analysis and trends are essential for determining product-market fit.
• 🧑‍🏭 There's no fixed number of users for product-market fit; it depends on various factors.
• 👤 Startups often overengineer their solutions and underestimate the importance of user satisfaction.
• 🎙️ More videos with Kevin Systrom:
  • Kevin Systrom — Tactics, Books, and the Path to a Billion Users | The…
  • Kevin Systrom: From CEO To Project Manager

Questions & Answers

Q: What programming languages did Instagram use in the beginning?

Instagram used Objective C for the client and Python (with Django framework) for the backend.

Q: Why did Instagram choose less common options like Postgres and Redis?

They used Postgres because of its built-in geo features, and Redis solved various issues for them.

Q: How many users did Instagram's initial technical stack support?

The described technical stack lasted through approximately 50 million users.

Q: Did Instagram immediately use Amazon Web Services (AWS) for scaling?

No, Instagram initially didn't know about AWS, but later realized its benefits and made the switch.

Q: How did Instagram handle mistakes and scaling challenges?

Instagram made initial mistakes but quickly learned from them. Hiring experienced individuals and writing tests helped them move quickly and reliably.

Summary & Key Takeaways

• Instagram started with Objective C for the client and Python (with Django) for the backend, using Postgres as their database.

• They adopted Redis early on, which solved many problems for them.

• In terms of scaling, they focused on making their stack handle the increasing user base and data influx.