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 included8 modules with videos, real production-code examples, profiling tools, optimization exercises, and bottleneck analysis.Module 1: Ruby internals — GC, object allocation, memory modelsHow garbage collector works • object shapes • when to use frozen strings and symbols 🧊Module 2: Performance profiling toolsrbspy, ruby-prof, stackprof, memory_profiler • reading flame graphs • spotting hot spotsModule 3: Concurrency basics in RubyThreads vs Processes vs Fibers • GVL (Global VM Lock) reality • concurrent-ruby gem usageModule 4: Collections and algorithms optimizationArray vs Hash vs Set vs SortedSet • custom hash tables • when to switch to C-extensionsModule 5: Gems ecosystem — selection and optimizationActiveSupport vs dry-* vs rom-rb • side-effect gems • bundle clean and gem pruningModule 6: Real-world speed patternsMemoization, caching, lazy loading • batch processing • connection poolingModule 7: Debugging performance issuesMemory leak symptoms • heap dump usage • tools like derailed_benchmarksModule 8: Practical optimization casesRefactoring slow scripts • speeding up API endpoints • working with big data without Rails Who this course is forSuitable 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 studyHow to analyze and reduce memory & CPU usageDifferences between threads, processes, and fibers in modern RubyHow to use profilers to find real issuesWhen and how to optimize collections and algorithmsHow to build code resilient to scaling About the authorDeveloper 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 policyIf 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).
