It Scales Until It Doesn’t
We are used to thinking that “high-load” means distributed systems, computing power, application, and kernel profiling. But sometimes you can’t simply scale your cluster. Maybe your hashmaps don’t fit in the server memory. Maybe you need single-digit millisecond latency. Maybe the cost is too high. Or your server is a … mobile phone.
In this talk, we will show how popular and lesser-known algorithms, data structures, and systems tuning helped us to overcome these blockers. Who said you don’t need to know algorithms nowadays?
- Tech Lead of the Core Services team at Grammarly
- Develops natural language processing services running in the cloud for millions of users
- As a long-time on-call warrior, interested in making software simple and reliable
- Nostalgic about programming BASIC on a Soviet PC "Korvet"
- Software Engineer in the Core Services team at Grammarly
- Maintains parts of high-loaded text processing pipeline
- Has seen algorithms during everyday work, not only during coding interviews
- Nostalgic about programming Turbo Pascal on 486