kleppmann designing data intensive applications

There's a lot of great O'Reilly books like DDIA so check those out on Amazon before you purchase that, you might come across something that piques your interest more. Hundreds of good talks on YouTube by big companies. Quite a few good books on Microservices that you may enjoy too - check out ones by Sam Newman. Martin Fowler has lots of articles around testing on his blog - unit tests / integration tests / mocks vs stubs etc. SOLID principles / DRY / Refactoring / Onion Architecture is good to read around. If you get through that, the one by Eric Evans is the big one. You could try DDD distilled by Vaughn Vernon. If you are junior I'd probably say that having some intro to Domain Driven Design might be beneficial, as this focuses a lot on architecture, design principles, and design patterns. If you're super interested I'd say give it a read, but it's not going to make you a 10x developer just by reading it. messaging systems, partitioned logs, syncing, change data capture, event sourcing, state, streams and immutability, linearizabiliry / order (sequence num ordering / total order / atomic commit / 2PC) ACID, weak isolation levels (read committed / skew / snapshot isolation), two phase locking etc key/value data, secondary indexes, rebalancing, parallel query execution.

leaders and followers / replication lag problems / multi leader replication / leaderless replication data structures (hash indexes / b trees / lsm-trees etc). History around document databases and relational databases. Faults / load / scale / operational overhead / complexity / how easy is it to make a change. Reliability, scalability, and maintainable applications. Quick summary of things covered (missing lots for brevity) Another commenter said that he builds an app up from scratch but that is not true, each section of the book focuses on an area of importance in distributed systems, and the author focuses a lot on the data aspect.

Kleppmann designing data intensive applications