
Databases Introduction - System Design Fundamentals
Introduction to databases for system design covering data storage, retrieval, relational databases, NoSQL, and choosing the right database for your application.

Introduction to databases for system design covering data storage, retrieval, relational databases, NoSQL, and choosing the right database for your application.

Complete guide to understanding system design interviews, what interviewers expect, and how to prepare effectively for distributed systems and scalability questions.

Complete guide to NoSQL databases including document stores, key-value stores, column-family databases, and graph databases for unstructured data.

Structured preparation guide for system design interviews covering learning resources, practice strategies, common patterns, and step-by-step preparation plan.

Complete guide to database resiliency covering replication (master-slave, multi-master), backup strategies, and disaster recovery for system design interviews.

Practical guide for system design interviews covering stress management, asking the right questions, communication techniques, and presenting your design effectively.

Complete guide to database scalability covering sharding strategies, partitioning, consistent hashing, and horizontal vs vertical scaling for system design.

Complete guide to understanding DNS (Domain Name System), how it works as the internet’s phonebook, DNS architecture, and resource record types for system design interviews.

Introduction to system design fundamentals covering core concepts, design principles, thinking patterns, and the philosophy behind building large-scale systems.

Let’s talk about something fundamental, something often relegated to the last minute, but which, when embraced early, can elevate the craft of software engineering from mere coding to true engineering excellence. I’m speaking of Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Remind me what they are again SLI - Service Level Indicator A quantitative metric for a service’s performance, as experienced by the user of the service. It is a measure of a property of the service that is a good proxy for your user experience. ...