Videos

The same users microservice - identical endpoints, identical database — running in three different runtimes: - ASP.NET under 200 concurrent requests: 𝟯𝟱𝟳𝗠𝗕 - Go under 200 concurrent requests: 37MB - Rust under 200 concurrent requests: 17MB At idle, ASP.NET already costs 109MB just sitting ther

Singleton is global state dressed up as a best practice. If you're still using getInstance() in 2026, you're hiding bad dependency injection design. Here's why senior devs refuse it. #programming #designpatterns #singletons #dependencyinjection #softwarearchitecture #coding #backend #cleancode

I built the same microservice in Rust (Axum), Go (Fiber), and ASP.NET (Minimal API) Github : https://github.com/prod-garbage-destroyer/rust-go-dotnet-microservice-2026/tree/v1 - identical endpoints, identical PostgreSQL backend, identical connection pool config — and benchmarked them with wrk at 50

Postgres handles 30K msgs/sec. 55% of Kafka users are under 1 MiB/s. The "database as queue" anti-pattern is actually the correct default for most startups. Here's when to actually migrate. #postgres #kafka #systemdesign #backend #devops

Go container: 15MB. Node container: 150MB. That's 6X smaller. Smaller means cheaper deployed. That's just math. Watch the full video for a detailed breakdown of the memory experiment! #golang #nodejs #memory #containers #docker #shorts #coding #backend #performance #devops

Use pgx instead. Pure Go, connection pooling, prepared statements. Or pgxpool for built-in connection pool. Production ready. Watch the full video for the full migration guide and performance benchmarks! #golang #nodejs #memory #containers #docker #shorts #coding #backend #performance #devops

Can Node.js cold starts keep up with Go? We tested it in an isolated container with real DB connections. Watch the long-form video on my channel for a detailed show on how we set up the experiment! Fight me in the comments! GitHub: https://github.com/prod-garbage-destroyer/cold-start-tax-experimen

Cold start is a tie at ~500ms. But Go uses 7.6x less memory and 6x smaller images. The hidden cost? The database driver. Here's the full breakdown. Checkout the Benchmark Repository on Github/prod-garbage-destroyer/cold-start-tax-experiment

Your AI agent didn't fail in one request. It failed across the entire workflow. Step two subtly hallucinates, and step five silently corrupts your database. Normal QA and standard logs are useless here. You don't need more unit tests. You need deterministic traces, semantic eval gates, and replayabl

Your cloud bill is paying for silent AI agent failures. Traditional APM is dead here—a 200 OK network request means nothing if the reasoning engine drops a production table. You need semantic evaluations mapped to LLM decision trees. Stop shipping agentic wrappers until your monitoring can evaluat

Spring Boot is the enterprise cathedral, but Quarkus is the cloud-native blade. In 2026, if you care about startup speed, container density, and cloud bills, there's only one winner. 00:00 - The Hook: Popular vs Fast 00:11 - Startup Speed: Native Battle 00:19 - Memory Massacre: 3x Density 00:27 - Th

Java is an enterprise tank, but Go is the speedrun language for teams that care about shipping. In 2026, the real bottleneck isn't concurrency—it's memory and deployment friction.