anything that can go wrong will go wrong This chapter is a thoroughly pessimistic and depressing overview of things that may go wrong in a distributed system working with distributed systems...

Replication: Keeping a copy of same data why replication ? to keep data geographically close to users -> reduce latency To allow system to continue working even if some pa...

Standard building blocks of data intensive applications databases caches search indexes stream processing batch processing The above sounds painfully obvious ? b...