Quantum Slate

Quantum Slate is a course that helps you move from "it works" to "it works fast and reliably" in real Ruby projects. 🔬
After Vertex Flow, you already know how to organize code with modules and metaprogramming. Now it's time to dive into performance, concurrency in Ruby, memory optimization, profiling, and how to use gems properly without slowing down the entire project.

What’s included
8 modules with videos, real production-code examples, profiling tools, optimization exercises, and bottleneck analysis.
Module 1: Ruby internals — GC, object allocation, memory models
How garbage collector works • object shapes • when to use frozen strings and symbols 🧊
Module 2: Performance profiling tools
rbspy, ruby-prof, stackprof, memory_profiler • reading flame graphs • spotting hot spots
Module 3: Concurrency basics in Ruby
Threads vs Processes vs Fibers • GVL (Global VM Lock) reality • concurrent-ruby gem usage
Module 4: Collections and algorithms optimization
Array vs Hash vs Set vs SortedSet • custom hash tables • when to switch to C-extensions
Module 5: Gems ecosystem — selection and optimization
ActiveSupport vs dry-* vs rom-rb • side-effect gems • bundle clean and gem pruning
Module 6: Real-world speed patterns
Memoization, caching, lazy loading • batch processing • connection pooling
Module 7: Debugging performance issues
Memory leak symptoms • heap dump usage • tools like derailed_benchmarks
Module 8: Practical optimization cases
Refactoring slow scripts • speeding up API endpoints • working with big data without Rails

Who this course is for
Suitable if you:

• already write Ruby code but programs run slower than desired
• have encountered memory leaks or high CPU in production
• want to understand why some gems "slow down" and how to fix it ⚡

Not suitable if you:

• are not yet confident with modules and metaprogramming
• are looking for theory only without tools and exercises

What you will study
How to analyze and reduce memory & CPU usage
Differences between threads, processes, and fibers in modern Ruby
How to use profilers to find real issues
When and how to optimize collections and algorithms
How to build code resilient to scaling

About the author
Developer with over 8 years of Ruby experience. Worked on high-load scripts, ETL processes, and production systems where every second and every MB mattered. 🛠️

30-day refund policy
If within 30 days after purchase of paid tariff you feel the materials do not suit you — write us for refund (for Free Pathway not applicable).