Videos

GraphQL looks elegant on the surface, but at scale the schema can become a real security and performance problem. Deep queries, introspection exposure, resolver explosions, and weak authorization patterns can turn one clean endpoint into a serious backend risk. In this video, I break down why Graph

We rebuilt both stacks from the protocol up, then ran repeatable captures across cold and steady passes to answer one question with evidence: when does Node.js WebSocket win, and when does Rust gRPC take over? This video walks through the full request path (proto contract, server internals, benchma

We spent 10 years perfecting the "slow" web. Massive JSON payloads, hydration errors, and micro-frontend mazes. It's time to go back to basics. Here is how PHP with Swoole and HTMX outperforms modern SPAs and saves you massive cloud costs. Don't be a cost center. Be a Garbage Destroyer. 🗑️🔥 #we

Everyone says "rewrite to a lighter stack." But in enterprise systems, rewrite risk, integration breakage, and ops instability can cost more than any benchmark gain. In this video, we break down why Quarkus + Spring Boot still dominate modern backend delivery: Loom concurrency, native startup perfo

AI code feels like speed—until the architecture fractures. This short breaks down the synthetic debt trap: why LLM-generated refactors add unnecessary abstraction, how phantom dependencies inflate complexity, and why “correct” code can still be bad code. We cover the innovation vs maintenance gap an

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