Came across this interesting article, sharing with you all. Bit of a self-promotion but there are lot of useful hints sprinkled thru. Hope this helps in preparing for your next tech interview. https://newsletter.pragmaticengineer.com/p/how-to-get-unstuck-during-coding-interviews

Containerization is a method of packaging an application along with its dependencies, libraries, and configuration files into a single unit called a container. This ensures that the application runs consistently across different computing environments. Key Principles of Containerization 1> Isolation: Containers provide a sandboxed environment, isolating the application from the host system and other containers. This isolation is achieved through OS-level virtualization, where containers share the same host kernel but have separate namespaces and resource control mechanisms. 2> Portability: Containers can run on any system that supports containerization, such as Linux, Windows, and Mac operating systems. This makes it easier to develop, test, and deploy applications across different environments without worrying about compatibility issues. 3> Efficiency: Containers are lightweight and have minimal overhead compared to traditional virtual machines (VMs). They share the host OS kernel, which reduces the need for duplicating the OS in each container, leading to better resource utilization and faster startup times. Docker is the most popular containerization platform that simplifies the creation, deployment, and management of containers. It consists of several key components. Please post your experience on packaging application using different techniques - VMs, Docker images, Kubernetes or something else.

Vibe coding must be followed by a rigorous "verify" step to manage the significant security blockers and technical debt coding assistants can generate.. Read about different 'personalities' of the LLM coders and importance of 'verifying the generated code'. https://thenewstack.io/ai-code-generation-trust-and-verify-always/

Billionaire philanthropist and Microsoft co-founder Bill Gates may never need to sit through a job interview, but in a 2020 chat for NBA star Stephen Curry's YouTube series State of Inspiration, Gates role-played as a young software engineer -- a college dropout applying for his very first job at Microsoft. Read full story here ... https://www.msn.com/en-in/money/topstories/why-should-we-hire-you-bill-gates-shares-perfect-answers-for-job-interviews/ar-AA1KDwC0?ocid=msedgntp&pc=LCTS&cvid=68a8380861c445f6a3ebb8a0532d4f2f&ei=31

There are many ways to have persistent storage of application data. 1> Relational (most common) - data is organized in tables consisting of rows and columns. E.g. Oracle, DB2 and many more. To manipulate data, Structured Query Language is used. Two main features of RDBMS: 1.1> ACID is a set of properties that ensure reliable processing of database transactions in relational database management systems (RDBMS). The acronym ACID stands for Atomicity - Ensures that a transaction is treated as a single unit, which either completes entirely or not at all. If any part of the transaction fails, the whole transaction is rolled back, leaving the database unchanged. Consistency: Guarantees that a transaction brings the database from one valid state to another, preserving database invariants and integrity constraints. Isolation: Ensures that concurrently executing transactions do not interfere with each other. The intermediate state of a transaction is invisible to other transactions until it is committed. Durability: Once a transaction has been committed, its effects are permanent and survive system failures, thanks to mechanisms like transaction logs or backups. 1.2> Normalization: is a systematic process of organizing data to minimize redundancy and dependency. The main goal is to structure the database in such a way that data is stored efficiently, redundant data is eliminated, reducing storage space. Data integrity is maintained: Dependences are logical and consistent, reducing update anomalies. The database design is flexible and scalable: Making it easier to maintain and modify over time. 2> Hierarchical - data is organized in treelike structure where each node can have only one parent and multiple child nodes. Initially popular but later Relational dbms took over due to their versatility and flexibility 3> Graph database - Graph databases are specialized database systems designed to store, manage, and query data in the form of graphs. They use nodes to represent entities, edges to represent