Capacity Planning
If you like applying Capacity Planning, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisIntermediateNew
Capacity Planning for a 40-Person SaaS Scale-Up
Your task is to forecast ticket volumes using historical data (provided), determine the required number of support agents, and propose a staffing plan including shift schedules …
- Capacity Planning
- Forecasting
- Workforce Management
Open coursework - AnalysisIntermediateNew
Benchmark Approximate Nearest-Neighbor Indexes for a Code-Search Startup
You receive a 5 M-vector sample (768-dim, float32) and a 1,000-query labeled benchmark with ground-truth top-50 neighbors per query. Index the same sample in Chroma (HNSW), Qdra…
- Ann Indexes
- Hnsw
- Benchmarking
Vector Databases and Embeddings - DesignIntermediateNew
Migrate a 6TB Social-Commerce Database to a Sharded Topology
Using the supplied schema specification and the seven-day anonymized query-workload export, decide the correct shard key for each table and justify it from observed access patte…
- Database Sharding
- Postgresql
- Vitess
Open coursework - AnalysisIntermediateNew
Capacity Planning for a SaaS Scale-Up's Customer Support
Your task is to forecast ticket volumes based on enterprise growth projections, analyze current support capacity and performance, and propose a staffing plan that meets SLAs. Su…
- Capacity Planning
- Queuing Theory
- Workforce Management
Open coursework Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisIntermediateNew
Tune Database Consistency for a Ride-Hailing Match Engine
Working only from the materials provided, analyse why the matching glitch appears under load and argue for a consistency policy per query class. Start from the cluster topology …
- Consistency Models
- Cassandra
- Distributed Tracing
Open coursework - AnalysisIntermediateNew
Capacity Planning Model for a Black-Friday Traffic Surge
Pull 18 months of per-service request rate + utilization from Prometheus. Forecast BFCM traffic per service using a baseline + multiplicative seasonal model (Prophet or statsmod…
- Capacity Planning
- Forecasting
- Autoscaling
Site Reliability Engineering - DesignIntermediateNew
Build a Scalable-System-Design Spec for a Streaming-Ingest Pipeline
Receive the current architecture (Kafka 3.6, Flink 1.18, ClickHouse 24.x), 4 weeks of production metrics (per-topic throughput, partition skew, Flink operator backpressure, Clic…
- Scalable System Design
- Kafka
- Flink
Open coursework
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
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Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.