How Instagram Grew to 14,000,000 Users With 3 Devs

Try Snyk 💻: http://snyk.co/lewis How Instagram Grew from 0 to 14M users in only a year. The best part? It was only done by 3 software engineers. In this video, I showcase the infrastructure and techniques used by the Instagram Software Engineers to handle one of the fastest growing applications in history. SOURCES: How Instagram Grew to 14M users post: https://instagram-engineering.com/what-powers-instagram-hundreds-of-instances-dozens-of-technologies-adf2e22da2ad Some Inspiration from Engineering Codex: https://engineercodex.substack.com/p/how-instagram-scaled-to-14-million The Instagram engineers kept their infrastructure simple by using proven technologies like Python, Django, PostgreSQL, Redis, and more. They leveraged Amazon's cloud services for load balancing, computing, and storage. The app servers were stateless and used a connection pooler to handle the flood of incoming database requests. Frequently accessed data was cached. MY NEWSLETTER 💌 https://thebetter.dev ------ CONNECT WITH ME ON SOCIAL 📸 Instagram: https://www.instagram.com/lewismenelaws/ 🎚TikTok: https://www.tiktok.com/@lewismenelaws 🐣 Twitter: https://twitter.com/LewisMenelaws —- My gear 💻 https://liinks.co/lewismenelaws ----- TIMESTAMPS 00:00 - Introduction 00:26 - Instagram's Beginnings and Initial Scaling 02:05 - (AD) SNYK 03:21 - The Role of Load Balancers in Instagram's Infrastructure 05:38 - How Instagram Handles Data Storage 08:28 - Handling Image Storage on Instagram 09:14 - Delivering Data Back to the User 10:11 - How Instagram Handles Push Notifications 10:50 - The Role of Task Queues in Scaling Instagram 11:30 - Monitoring Instagram's Systems 12:21 - Instagram's Core Principles Revisited