Distributed systems

Generating unique ID seems to be a simple task, but it is not in a high-load distributed systems! This topic consists of: Understanding the requirements and why it is a complicated task Possible solutions: Multi-master replication Universally unique identifier (UUID) Ticket server Twitter SNOWFLAKE approach (seems to be the best one!) Details: Timestamp Sequence number Other issues Clock synchronization Section length tuning High availability These items are disclosed in a very interesting Chapter 7 of the book:

Key-Value stores are the most basic but widely used data storages. Design of key-value store consists of understanding the following topics: What do we want from key-value store? Single server key-value store DISTRIBUTED key-value store: CAP theorem Real-world trade-offs for distributed systems System components: Data partition Data replication Consistency Inconsistency resolution: Versioning Handling all types of failures: Failure detection, Handling TEMPORARY failures, Handling PERMANENT failures, Handling data center outage System architecture diagram Write path Read path These items are disclosed in a very interesting Chapter 6 of the book: