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Code

Bloom Filter Cache to Cut Origin Load at a CDN Edge

FreeVerified credential3 weeksAdvanced

Overview

What this challenge is about.

Bloom Filter Cache to Cut Origin Load at a CDN Edge. Advanced challenge in code. Writing production code that solves real engineering problems, earn a blockc...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Design and benchmark a Bloom-filter front for an edge cache that eliminates at least 90 percent of negative-result origin lookups at a 1 percent false-positive rate.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Derive Bloom filter parameters (m, k) from a target false-positive rate
  • Apply Kirsch-Mitzenmacher double hashing to avoid k independent hash computations
  • Measure observed-vs-theoretical false-positive rate on real workloads
  • Reason about probabilistic data structures as a memory-vs-accuracy trade

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Randomized Algorithms

Master · Algorithms

Strong alignment

This challenge maps to Randomized Algorithms at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.

Bloom Filter Cache to Cut Origin Load at a CDN Edge