Computer Science
Site Reliability & Observability Challenges
Site Reliability & Observability challenges put you on the hook for keeping production healthy. You'll build the fundamentals — Application Monitoring, Dashboard Reading, and Performance Analysis — and instrument services with OpenTelemetry instrumentation, Prometheus & Grafana, then define what "healthy" means through Service Level Objectives and SLO / SLI definition.
From there you'll handle the harder edges — Incident command, On-call runbooks, Multi-region failover, and Chaos engineering — the way reliability teams actually operate under pressure. Each challenge you solve earns a verified credential you can share with recruiters.
Recommended Challenges
· Performance Analysis Clear- AnalysisSeniorNew
Diagnose Clock Skew in a HFT Order Matching System
Receive anonymized PTP grandmaster + slave logs (nanosecond resolution, 30 days, 3 cabinets) plus a synthetic order-flow generator. Identify the drift pattern (likely candidate:…
- Logical Clocks
- Ptp Time Sync
- Cpp Programming
Distributed Systems - AnalysisIntermediateNew
Design a Custom Page-Replacement Policy for a Tier-1 Cloud Provider Simulator
Use the provided simulator (Python harness wrapping a C++ page-cache model) and the team's 3 anonymized workload traces (web-cache, key-value store, batch analytics). Implement …
- Memory Management
- Page Replacement
- Benchmarking
Operating Systems - DesignIntermediateNew
Design Parallel I/O for a Climate-Simulation Data Pipeline
Analyze the current I/O pattern: each MPI rank writes its own file via serial HDF5 (the classic anti-pattern). Design a single shared file using parallel HDF5 + MPI-IO with coll…
- Mpi Io
- Parallel Hdf5
- Lustre Filesystem
High-Performance and Scientific Computing - AnalysisIntermediateNew
Tune OpenMP Performance on a Memory-Bound Genomics Pipeline
Profile the existing pipeline at 1, 4, 8, 16, 32, 48, 64 threads using Intel VTune + Linux perf. Identify the bottlenecks (likely candidates: NUMA-unaware memory allocation, fal…
- Openmp
- Numa Awareness
- False Sharing
High-Performance and Scientific Computing Practice your coursework on real scenarios.
Every challenge is shaped from real industry context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisIntermediateNew
Debug Latency Tail With Distributed Tracing on a Logistics SaaS
Receive 7 days of anonymized trace data in Tempo, the service map (12 services), and the customer complaint log. Investigate: filter the slowest 1 percent of traces, identify th…
- Distributed Tracing
- Performance Analysis
- Tempo
Software Observability - AnalysisIntermediateNew
Tune Consistency Levels for a Global Ride-Hailing Platform
Receive an anonymized topology export (3 regions, RF=3 per region) plus 7 days of query traces tagged by class. Reproduce the matching anomaly in a Kubernetes-based test cluster…
- Consistency Models
- Cassandra
- Distributed Tracing
Distributed Systems
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.
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