Fast, auto-generated streaming JSON parsing for Android
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. The Instagram engineering team is constantly looking at how we can improve the speed, reliability and overall performance of the app. One of the things we wanted to improve is how quickly people using the Android app can view “News” in their Instagram feed—the place you go to see when people tag
redis-faina: a query analysis tool for Redis
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. As we mentioned in our previous blog, we’re big fans of tools and techniques for introspecting our live traffic to see what exactly is going on. One tool we use frequently is PGFouine, a query traffic analyzer for PostgreSQL. We recently found that we also needed a similar tool for Redis, our sw
Storing hundreds of millions of simple key-value pairs in Redis
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. When transitioning systems, sometimes you have to build a little scaffolding. At Instagram, we recently had to do just that: for legacy reasons, we need to keep around a mapping of about 300 million photos back to the user ID that created them, in order to know which shard to query (see more inf
What Powers Instagram: Hundreds of Instances, Dozens of Technologies
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. One of the questions we always get asked at meet-ups and conversations with other engineers is, “what’s your stack?” We thought it would be fun to give a sense of all the systems that power Instagram, at a high-level; you can look forward to more in-depth descriptions of some of these systems in
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