Coding Interview: Graph Algorithms — BFS, DFS, Dijkstra, Topological Sort, Union-Find, MST, Shortest Path
Graph problems appear in roughly 20% of coding interviews at top tech companies. The key is recognizing which graph algorithm […]
Graph problems appear in roughly 20% of coding interviews at top tech companies. The key is recognizing which graph algorithm […]
Dynamic programming (DP) is the most feared topic in coding interviews, yet it follows predictable patterns. Once you recognize the
Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) form the foundation of modern reliability engineering.
Chaos engineering is the discipline of experimenting on a production system to build confidence in its ability to withstand turbulent
Zero-downtime deployment ensures users experience no interruption when new code is released. This is a requirement for any production system
Database schema migrations are one of the riskiest operations in production systems. A poorly executed migration can lock tables for
API design is the interface contract between your service and its consumers. Poor API design creates friction, breaking changes, and
Distributed locks coordinate access to shared resources across multiple processes or machines. Unlike local mutexes, distributed locks must handle network
Calendar and scheduling systems are among the most deceptively complex applications in software engineering. Google Calendar, Outlook, and Calendly handle
gRPC is Google open-source RPC framework that uses HTTP/2 for transport and Protocol Buffers for serialization. It provides strongly-typed service
Caching is one of the highest-leverage performance optimizations available — serving data from memory (nanoseconds to microseconds) instead of disk
Probabilistic data structures trade exactness for dramatic reductions in memory and computation. Instead of exact answers, they provide approximate answers
A compiler translates source code in a high-level language to machine code (or bytecode) through a series of structured phases.
Kubernetes networking enables communication between Pods, Services, and external clients across a cluster of machines. The Kubernetes networking model guarantees
Data encoding (serialization) converts in-memory data structures to a byte format for storage or transmission. The choice of encoding format