Videos

Legacy codebases are hemorrhaging talent as maintainability collapses under the weight of unpatched dependencies and deprecated logic. We must confront the reality that staying on aging frameworks is a strategic failure. Here's why you need to migrate now. #programming #softwareengineering #archit

In this video, we break down exactly when a centralized control plane collapses under load, the exact cost curve of coordination vs. debugging, and how to use Choreography as a pressure relief valve at scale. 🔍 𝗪𝗵𝗮𝘁 𝘄𝗲 𝗰𝗼𝘃𝗲𝗿: - Control Plane Under Load (Kubernetes, Nginx, API Gateway) -

Rust abstractions look high-level, but compile into low-level machine code with near-C++ performance. Here's the proof through assembly, LLVM, and runtime metrics. #rust #systemsprogramming #performance #llvm #softwareengineering

Quick walkthrough of the benchmark repo structure: implementations, scripts, artifacts, and the wrk workload file used for fair comparison. Re-run it yourself: GitHub link in description. #shorts #zig #rust #cplusplus #backend #benchmark #opensource

Code-level proof cut: same routes, same schema, same wrk workload. Rust wins RPS, Zig wins p99, and C++ wins footprint in this run. Full repo and artifacts: GitHub link in description. https://github.com/prod-garbage-destroyer/zig-rust-cpp-cloud-v1 #shorts #zig #rust #cplusplus #backend #benchmark

Same API, same workload, same environment. Rust leads throughput, Zig leads p99 latency, C++ leads footprint. Full benchmark and code: GitHub link in description. https://github.com/prod-garbage-destroyer/zig-rust-cpp-cloud-v1 #shorts #zig #rust #cplusplus #backend #benchmark #cloud

I benchmarked the same cloud API implementation in Zig, Rust, and C++ with identical routes, schema, workload, and environment. In this video we compare: - Throughput under c=100, c=250, c=500 - Tail latency (p99) behavior under load - Operational footprint (image size + memory) - Real source files

#WebAssembly #Javascript

Most teams chase tiny throughput differences and ignore what actually impacts production. - Throughput delta: small - Container delta: massive - Memory delta: meaningful at scale Rust wins developer velocity and safety. C++ wins runtime efficiency and footprint. Pick based on your constraints. #ru

Rust and C++ are almost tied on throughput (~40K req/s), but not on operational cost. - Rust image: 114MB - C++ image: 18.6MB (84% smaller) - Rust memory: 4.3MB RSS - C++ memory: 2.5MB RSS (42% less) Verdict: choose constraints, not benchmark hype. Full benchmark + methodology in long video. #rust

Are you subsidizing Python's Global Interpreter Lock with your cloud bill? Python optimizes for the developer. Go optimizes for the machine. Stop writing core infrastructure in a scripting language. Pick Python for the algorithm. Pick Go for the backend. Drop your stack below 👇

I benchmarked Rust (Axum) and C++ (Drogon) for cloud REST APIs with PostgreSQL JSONB workloads. Performance is nearly identical (3-5% difference), but operational costs differ wildly. 𝗞𝗲𝘆 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀: - Throughput: 38-42K req/s (Rust) vs 39-40K req/s (C++) — statistically equivalent - Conta