How Instagram Scales to 2.5B Users: Architecture, Consistency & Performance
Instagram grew from a simple photo‑sharing app to over 2.5 billion users, prompting engineers to adopt horizontal scaling, replace Python code with Cython, use region‑specific Cassandra clusters, employ the Akkio data‑placement service, and optimize PostgreSQL and Memcache handling to improve resource utilization, data consistency, and latency.
