Plurrrr

Most software developers are familiar with object-relational mapping (ORM), a coding technique that creates an abstraction layer between object-oriented programming languages and databases. But despite its value, ORM isn’t ideal in all situations – particularly when programmers make wrong assumptions about its use. We debunk several such mistaken beliefs so that you can use ORM the right way.

In this post, we'll dive deep into Log Structured Merge Tree aka LSM Tree: the data structure underlying many highly scalable NoSQL distributed key-value type databases such as Amazon's DynamoDB, Cassandra and ScyllaDB. These databases by design are known to support write rates far more than what traditional relational databases can offer. We'll see how LSM Tree enables them to allow the write speeds that they claim, as well as how they facilitate reads.

Go is one of the programming languages I love the most. It allows a very fast execution time (unlike Python) without affecting negatively the developer experience (unlike C), and is strongly typed (unlike TS where you can lie to the compiler). But it has some flaws, and nil interfaces are a tricky one I have to address.