2 posts tagged with "Algorithms"

Introduction: Beyond the Basics​

FizzBuzz has long been a staple of programming interviews. The problem is deceptively simple: print numbers from 1 to n, but replace multiples of 3 with "Fizz", multiples of 5 with "Buzz", and multiples of both with "FizzBuzz". It's not meant to be a challenging algorithmic puzzle; most candidates with basic programming knowledge should solve it without difficulty.

So why does this trivial problem persist in the interview landscape? Because FizzBuzz's true value isn't in filtering out candidates who can't code—it's in opening discussions about complexity, language characteristics, optimisation, and the subtle costs of different operations. The best interviewers don't just ask candidates to solve FizzBuzz; they use it as a starting point for a deeper technical conversation.

More than just an interview question​

Over my years in networking I've sat on both sides of countless technical interviews. There's a familiar dance that occurs when discussing OSPF: the candidate confidently states "OSPF uses Dijkstra's algorithm for route calculation," and the interviewer will nod approvingly. Yet recently, I had a moment of clarity: in hundreds of these exchanges, I've never once asked a candidate to explain what that actually means, nor have I been asked to explain it myself. This perfunctory mention of Dijkstra has become almost ceremonial in our industry, a shibboleth that we repeat without truly engaging with its significance. Yet understanding this algorithm isn't just academic—it fundamentally shapes how OSPF operates, influences our network designs, and explains why certain design patterns have become best practices. When a link fails in your network and OSPF begins recalculating routes, there's significant computational overhead that many engineers never consider. This processing cost isn't just theoretical—it's the hidden force behind many of our design decisions, from area sizing to adjacency limits. Today, we'll bridge the gap between theory and practice, exploring how this fundamental algorithm shapes the way we deploy and scale OSPF networks, and why it matters for your day-to-day operations.