Programming Tech Brief By HackerNoon

This story was originally published on HackerNoon at: https://hackernoon.com/i-built-a-go-based-ngrok-alternative-with-zero-dependencies.

Built a fast, zero-dependency ngrok alternative in Go using Cloudflare tunnels. Here’s how it works, why Go won, and what I learned.

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This story was written by: @astley. Learn more about this writer by checking @astley's about page,
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Built a complete ngrok-like tunnel service in Go in one evening (~3.5 hours of focused coding time). Includes both client CLI and backend server. Total code: ~800 lines. Works with Cloudflare Tunnels for free, secure HTTPS tunnels from localhost to the internet.

Tech Stack: Go, Cloudflare Tunnels, Cloudflare API

Website: https://www.golocalport.link/

This story was originally published on HackerNoon at: https://hackernoon.com/generic-interfaces-when-to-use-them.

In this post, we’ll discuss the use of interfaces with type parameters in a couple of common scenarios.

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This story was written by: @Go. Learn more about this writer by checking @Go's about page,
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As interfaces are types themselves, they too can have type parameters. This idea proves to be surprisingly powerful when it comes to expressing constraints on generic functions and types. In this post, we’ll demonstrate the use of interfaces with type parameters in a couple of common scenarios.

This story was originally published on HackerNoon at: https://hackernoon.com/beware-the-real-time-trap-your-fresh-data-could-be-slowing-down-your-dashboards.

Stop chasing "speed" as a monolith. Data latency and query latency are fundamentally different problems. Optimizing for fresh data often degrades dashboard responsiveness, and vice versa. The real challenge isn't building the fastest system—it's aligning your architecture with actual business needs while managing exponential costs.

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This story was written by: @thanhtruong. Learn more about this writer by checking @thanhtruong's about page,
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"Speed" in data engineering is a trade-off, not a single metric. To build effective systems, you must distinguish between two competing concepts:
- Data Latency (Freshness): How long it takes for an event to reach your report.
- Query Latency (Responsiveness): How long a user waits for a dashboard to load.
The Conflict: Optimizing for real-time freshness often slows down query performance because the system can't pre-calculate data. Conversely, pre-calculating data for "snappy" dashboards usually requires batching, which makes data older.
The Bottom Line: Reducing latency has exponential costs. Success isn't about being the "fastest"; it's about choosing the right trade-offs between freshness, responsiveness, and budget based on specific business needs.

This story was originally published on HackerNoon at: https://hackernoon.com/rust-cve-2024-24576-explained-what-was-this-security-advisory.

The severity of this vulnerability was critical if you were invoking batch files on Windows with untrusted arguments.

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The Rust Security Response WG was notified that the Rust standard library did not properly escape arguments when invoking batch files (with the bat and cmd extensions) on Windows using the Command API.

This story was originally published on HackerNoon at: https://hackernoon.com/the-transatlantic-divide-when-platforms-become-politics.

Tensions between the United States and Europe around Big Tech have intensified. But beneath the surface sits a quieter disagreement - what trust is.

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This story was written by: @andreimochola. Learn more about this writer by checking @andreimochola's about page,
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Tensions between the United States and Europe around Big Tech have intensified. The EU frames its actions as necessary governance. The US increasingly frames them as discrimination. But beneath the surface sits a quieter disagreement - what trust is.