Microservices Migration Made Practical: Proven Patterns That Work – PART 2
Migrating from a monolithic architecture to microservices promises scalability, flexibility, and faster innovation—but the reality is far from simple. Many organizations underestimate the complexity of this transformation, resulting in failed projects, frustrated teams, and wasted resources.
Why Most Monolith to Microservices Migrations Fail – PART 1
Migrating from a monolithic architecture to microservices promises scalability, flexibility, and faster innovation—but the reality is far from simple. Many organizations underestimate the complexity of this transformation, resulting in failed projects, frustrated teams, and wasted resources.
Data Science – what is it and why do you need it?
In the beginning, there was chaos of data. Then the data was divided into structured and unstructured. One became traditional – manageable, numeric and text values; another the Big Data – all that left: audios, videos, pictures, mobile data, numbers, text – diverse, voluminous and velocity data. Then, data science appeared.
